Platform Analytics 7 Dataflow

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Cubes

The following table specifies the names of each dimension in the cubes and their respective sources:

Cube

Dimension or Measure

Source

Daily FLEX License cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Project
  1. License Server
  1. Vendor
  1. Version
  1. LSF/non-LSF
  1. Event
  1. Event Reason
  1. User
  1. Host

Measure

  1. # of checkouts
  1. Max # of checkouts
  1. Total feature time (min)
  1. Avg feature time (min)
  1. # of events

The following columns are in the Daily Flex License datamart.

Dimension

  1. CLUSTERNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. PROJECTNAME
  1. SERVER
  1. VENDOR and FEATURE
  1. VERSION
  1. ISLSF
  1. EVENT
  1. EVENTREASON
  1. USERNAME
  1. HOSTNAME

Measure

  1. CHECKOUTNUM
  1. CHECKOUTMAX
  1. DURATION
  1. Calculation: "Total feature time"/"# of events"
  1. EVENTCOUNT

Daily Hardware cube

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Host Model
  1. Host Type
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. # of logins
  1. CPU (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. HOSTMODEL and HOSTNAME
  1. HOSTTYPE and HOSTNAME
  1. NPROCS and HOSTNAME
  1. NCORES and HOSTNAME
  1. NTHREADS and HOSTNAME
  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. Calculation: 1 - "Free Tmp"/"Max Tmp"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. Tmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. Calculation: "Max swap" - "Free swap"
  1. Calculation: "Max swap" - "Free swap"
  1. Jobut
  1. Calculation: "JobMemory" / 1024
  1. Calculation: "JobSwap" / 1024

Daily Hardware by Hostgroup cube

Dimension

  1. Host Group
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour

Measure

  1. # of logins
  1. CPU (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)

The following columns are in the Daily Hardware By Hostgroup datamart.

Dimension

  1. HOSTGROUPNAME and HOSTNAME
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. Calculation: 1 - "Free Tmp"/"Max Tmp"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. Tmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. Calculation: "Max mem" - "Free mem"
  1. Calculation: "Max swap" - "Free swap"
  1. Jobut
  1. Calculation: "JobMemory" / 1024
  1. Calculation: "JobSwap" / 1024

Daily Hardware (with Boolean Resources) cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Host Model
  1. Host Type
  1. Boolean Resource

 

8.  # of Host CPU

 

9.  # of Cores per CPU

 

10.# of Threads per Core

Measure

  1. # of logins
  1. CPU (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. CPU Factor

The following columns are in the Daily Hardware datamart unless otherwise specified.

Dimension

  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. HOSTMODEL and HOSTNAME
  1. HOSTTYPE and HOSTNAME
  1. BOOLEAN_RESOURCE and HOSTNAME

 

8.  NPROCS and HOSTNAME

 

9.  NCORES and HOSTNAME

 

10. NTHREADS and HOSTNAME

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. Calculation: 1 - "Free Tmp"/"Max Tmp"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. Tmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. Calculation: "Max swap" - "Free swap"
  1. Calculation: "Max swap" - "Free swap"
  1. Jobut
  1. Jobmemory
  1. Jobswap
  1. LSFCPUFACTOR

Daily Host Availability cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Host Model
  1. Host Type

Measure

  1. Down hours
  1. Down times
  1. Down (%)

The following columns are in the Daily Host Availability datamart unless otherwise specified.

Dimension

  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. HOSTMODEL and HOSTNAME in the Host Properties datamart
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart

Measure

  1. Calculation: "DOWNMINUTES" / 60
  1. DOWNTIMES
  1. Calculation: "Down hours"/"Period"

Daily Host Status cube

Dimension

  1. Status
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Host Model
  1. Host Type

Measure

  1. Duration (hr.)

The following columns are in the Daily Host Status datamart unless otherwise specified.

Dimension

  1. STATUS
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. HOSTMODEL and HOSTNAME columns in the Host Properties datamart
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart

Measure

  1. Calculation: �"DURATION" / 60

Daily HPC Workload cube

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Date/Submit
  1. Weekday/Submit
  1. Date/Start
  1. Weekday/Start
  1. Project
  1. User
  1. Application Tag
  1. Queue
  1. Host Type
  1. Host Model
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. User Group
  1. Hosts/Submit
  1. Job Typ
  1. # of CPUs
  1. Job Exit Status
  1. Job Exit Code
  1. Pending Time Rank

Measure

  1. Weighted Num of Jobs
  1. Total Job Run Time
  1. Total Job Pend Time
  1. Total Job Turnaround Time
  1. Total CPU Time
  1. Total Mem Usage
  1. Total Swap Usage
  1. CPU by Run Time
  1. Run Min. per Job
  1. Pend Min. per Job
  1. Turnaround Min. per Job
  1. Run by Turnaround
  1. CPU time per Job
  1. Mem per Job
  1. Swap per Job

Dimension

  1. CLUSTERNAME and HOSTNAME
  1. FINISHDATE
  1. FINISHWEEKDAY
  1. FINISHCOREHOUR
  1. SUBMITDATE
  1. SUBMITWEEKDAY
  1. STARTDATE
  1. STARTWEEKDAY
  1. PROJECTNAME
  1. USERNAME
  1. APPLICATION_TAG
  1. QUEUENAME
  1. EXECHOSTTYPENAME and EXECHOSTMAPNAME
  1. EXECHOSTMODELNAME and EXECHOSTMAPNAME
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. USERGROUPNAME
  1. SUBHOSTMAPNAME
  1. JOBTYPE
  1. NUMEXECPROCS
  1. JobExecutionType (calculation) and JOBEXITSTATUS
  1. JobExecutionType (calculation) and JobExitCodeDesc (calculation)
  1. PENDINGTIMECATEGORY

Measure

  1. NUMJOB (Calculation: 1 / "NUMEXECPROCS")
  1. RUNTIME
  1. PENDINGTIME
  1. Calculation: "Total Job run time" + "Total Job pend time"
  1. CPUTIME
  1. MEMUSAGE
  1. SWAPUSAGE
  1. Calculation: "Total CPU Time" / 60 / "Total Job Run Time"
  1. Calculation: "Total Job Run Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Pending Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Turnaound Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Job Run Time" / "Total Turnaound Time"
  1. Calculation: "Total CPU Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Mem Usage" / "Weighted Num of Jobs"
  1. Calculation: "Total Swap Usage" / "Weighted Num of Jobs"

Daily Job Resource Consumption cube

Dimension

  1. Resource
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Project
  1. User

Measure

  1. Usage (minute)
  1. Cost

The following columns are in the Daily Job Reserved Resource Usage datamart.

Dimension

  1. RESOURCENAME
  1. CLUSTERNAME
  1. FINISHDATE
  1. FINISHWEEKDAY
  1. FINISHCOREHOUR
  1. PROJECTNAME
  1. USERNAME

Measure

  1. USAGE
  1. COST

Daily Job Slot Usage cube

Dimension

  1. Group Type
  1. Cluster
  1. Date
  1. Business Hour
  1. Week Day

Measure

  1. Max Slot Usage
  1. Min Slot Usage
  1. Avg Slot Usage
  1. Max Slot Utilization (%)
  1. Min Slot Utilization (%)
  1. Avg Slot Utilization (%)

The following columns are in the Daily Job Slot Usage by Group datamart.

Dimension

  1. GROUPTYPE and GROUP
  1. CLUSTERNAME
  1. DATE
  1. COREHOUR
  1. WEEKDAY

Measure

  1. MAX_VALUE
  1. MIN_VALUE
  1. Calculation: SUM_VALUE/COUNTER
  1. MAX_UTIL
  1. MIN_UTIL
  1. AVG_UTIL

Daily Job Statistics cube

Dimension

  1. Group
  1. Cluster
  1. Date
  1. Business Hour
  1. Job Type
  1. Job Status
  1. Weekday

Measure

  1. Avg Job Number
  1. Min Job Number
  1. Max Job Number

The following columns are in the Daily Job Statistics datamart.

Dimension

  1. GROUPNAME and DIMENSIONNAME
  1. CLUSTERNAME
  1. DATE
  1. COREHOUR
  1. JOBTYPEDESC
  1. JOBSTATUS
  1. WEEKDAY

Measure

  1. Calculation: TOTALJOBNUMBER/COUNTER
  1. MINJOBNUMBER
  1. MAXJOBNUMBER

Daily Job Throughput cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Queue
  1. Host Type
  1. Host Model
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Project
  1. User

Measure

  1. # of submitted jobs
  1. # of done jobs
  1. # of exited jobs

The following columns are in the Daily Jobthroughput datamart.

Dimension

  1. CLUSTERNAME and HOSTMAPNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. QUEUENAME
  1. HOSTTYPE and HOSTMAPNAME
  1. HOSTMODEL and HOSTMAPNAME
  1. NPROCS and HOSTNAME
  1. NCORES and HOSTNAME
  1. NTHREADS and HOSTNAME
  1. PROJECTNAME
  1. USERNAME

Measure

  1. SUBMIT_NUM
  1. DONE_NUM
  1. EXIT_NUM

Daily Jobs by Pending Reason cube

Dimension

  1. Group
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour

Measure

  1. Avg Job Number
  1. Min Job Number
  1. Max Job Number

The following columns are in the Daily Jobs by Pending Reason datamart.

Dimension

  1. GROUPNAME and DIMENSIONNAME
  1. CLUSTERNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR

Measure

  1. Calculation: TOTALJOBNUMBER/COUNTER
  1. MINJOBNUMBER
  1. MAXJOBNUMBER

Daily License Consumption cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host
  1. License Server

Measure

  1. License minutes (number * minutes)
  1. Cost

The following columns are in the Daily License Consumption datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. USERNAME
  1. HOSTNAME
  1. SERVER

Measure

  1. USEDMINUTES
  1. LICENSECOST

Daily License Denial cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host
  1. License server

Measure

  1. License denials

The following columns are in the Daily License Denial datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. USERNAME
  1. HOSTNAME
  1. SERVER

Measure

  1. DENIALS

Daily License Denial by Feature cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host

Measure

  1. License denials

The following columns are in the Daily License Denial By Feature datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. USERNAME
  1. HOSTNAME

Measure

  1. DENIALS

Daily License Usage by User cube

Dimension

  1. License vendor
  1. User
  1. Date
  1. Weekday
  1. Business Hour
  1. License server

Measure

  1. Average usage by user
  1. Peak usage by user
  1. Average # of avaiable licenses
  1. # of distinct users

The following columns are in the Daily Licnese Usage By User datamart.

Dimension

  1. VENDOR and FEATURE
  1. USERNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SERVER

Measure

  1. Calculation: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. TOTALAVAIL
  1. Calculation based on "User(category number in the host level)

Daily License Usage By User Group cube

Dimension

  1. License vendor
  1. Usergroup
  1. Date
  1. Weekday
  1. Business Hour
  1. License server

Measure

  1. Average usage by usergroup
  1. Peak usage by usergroup
  1. Average # of available licenses

The following columns are in the Daily License Usage By User Group datamart.

Dimension

  1. VENDOR and FEATURE
  1. USERGROUPNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SERVER

Measure

  1. Calculation: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. TOTALAVAIL

Daily License Utilization cube

Dimension

  1. License vendor
  1. Date
  1. License server

Measure

  1. Average usage by server
  1. Peak usage by server
  1. Average utilization by server (%)
  1. Peak utilization by server (%)
  1. Average # of available licenses
  1. Peak # of available licenses by server
  1. Utilization at peak usage by server (%)
  1. # of reserved licenses by server

The following columns are in the Daily License Utilization datamart

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. SERVER

Measure

  1. Calculation: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. Calculation: SUMUTIL/SAMPLINGCOUNT
  1. MAXUTIL
  1. TOTALAVAIL
  1. MAXTOTALAVAIL
  1. Calculation: WEIGHTEDUTIL - MAXUSAGE
  1. Calculation: SUMRESERVATION/SAMPLINGCOUNT

Daily License Utilization By Feature cube

Dimension

  1. License vendor
  1. Date

Measure

  1. Average usage by feature
  1. Peak usage by feature
  1. Average utilization by feature (%)
  1. Peak utilization by feature (%)
  1. Average # of available licenses
  1. Peak # of available licenses by feature
  1. Utilization at peak usage by feature (%)
  1. # of reserved licenses by feature

The following columns are in the Daily License Utilization By Feature datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE

Measure

  1. Calculation: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. Calculation: SUMUTIL/SAMPLINGCOUNT
  1. MAXUTIL
  1. TOTALAVAIL
  1. MAXTOTALAVAIL
  1. Calculation: WEIGHTEDUTIL - MAXUSAGE
  1. Calculation: SUMRESERVATION/SAMPLINGCOUNT

Daily Shared Resource cube

Dimension

  1. Resource
  1. Cluster
  1. Date
  1. Business Hour

Measure

  1. Average usage
  1. Average utilization (%)
  1. Average total available
  1. Average free

The following columns are in the Daily Shared Resource Usage datamart.

Dimension

  1. RESOURCENAME
  1. CLUSTERNAME
  1. DATE
  1. COREHOUR

Measure

  1. USAGE
  1. Calculation: "USAGE" / "TOTALAVAIL"
  1. TOTALAVAIL
  1. FREE

Daily Workload cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Date/Submit
  1. Weekday/Submit
  1. Date/Start
  1. Weekday/Start
  1. Project
  1. User
  1. Queue
  1. Application Tag
  1. Host Type
  1. Host Model
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. User Group
  1. Hosts/Submit
  1. Job Type
  1. # of CPUs
  1. Job Exit Status
  1. Job Exit Code
  1. Pending Time Rank
  1. Run Time Rank
  1. CPU Time Rank
  1. Memory Usage Rank
  1. Job Group

Measure

  1. # of Jobs
  1. Job run time (min)
  1. Job pend time (min)
  1. Job turnaround time (min)
  1. CPU time (sec)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU time/Job run time (%)
  1. Avg run time/job (min)
  1. Avg pend time/job (min)
  1. Avg turnaround time/job (min)
  1. Job run time/Turnaround time (%)
  1. Avg CPU time/job (sec)
  1. Avg used mem/job (MB)
  1. Avg used swap/job (MB)

The following columns are in the Daily Job Information datamart.

Dimension

  1. CLUSTERNAME
  1. FINISHDATE
  1. FINISHWEEKDAY
  1. FINISHCOREHOUR
  1. SUBMITDATE
  1. SUBMITWEEKDAY
  1. STARTDATE
  1. STARTWEEKDAY
  1. PROJECTNAME
  1. USERNAME
  1. QUEUENAME
  1. APPLICATION_TAG
  1. EXECHOSTTYPENAME and EXECHOSTMAPNAME
  1. EXECHOSTMODELNAME and EXECHOSTMAPNAME
  1. NPROCS and HOSTNAME
  1. NCORES and HOSTNAME
  1. NTHREADS and HOSTNAME
  1. USERGROUPNAME
  1. SUBHOSTMAPNAME
  1. JOBTYPEDESC
  1. NUMEXECPROCS
  1. JOBEXITSTATUS
  1. JOBEXITCODEDESC
  1. PENDINGTIMECATEGORY
  1. RUNTIMECATEGORY
  1. CPUTIMECATEGORY
  1. MEMORYUSAGECATEGORY
  1. JOBGROUP1, JOBGROUP2, JOBGROUP3, and JOBGROUP4

Measure

  1. NUMOFJOBS
  1. RUNTIME
  1. PENDINGTIME
  1. Calculation: "Job run time" + "Job pend time"
  1. CPUTIME
  1. MEMUSAGE
  1. SWAPUSAGE
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation

Daily Workload License cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Date/Submit
  1. Weekday/Submit
  1. Date/Start
  1. Weekday/Start
  1. License Server
  1. Project
  1. User
  1. Queue
  1. Host Type
  1. Host Model
  1. Host Type/Submit
  1. # of CPUs
  1. Job Exit Status
  1. Job Exit Code
  1. Pending Time Rank
  1. Vendor
  1. Event
  1. Event Reason
  2. Job Group

Measure

  1. # of jobs
  1. Job run time (min)
  1. Job pend time (min)
  1. Job turnaround time (min)
  1. CPU time (sec)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU time/Job run time (%)
  1. Avg run time/job (min)
  1. Avg pend time/job (min)
  1. Avg turnaround time/job (min)
  1. Job run time/Turnaround time (%)
  1. Avg CPU time/job (sec)
  1. Avg used mem/job (MB)
  1. Avg used swap/job (MB)
  1. # of checkout's
  1. Max # of checkout's
  1. Total feature time (min)
  1. Avg feature time/job (min)
  1. # of events

The following columns are in the Daily Workload License datamart.

Dimension

  1. CLUSTERNAME
  1. FINISHDATE
  1. FINISHWEEKDAY
  1. FINISHCOREHOUR
  1. SUBMITDATE
  1. SUBMITWEEKDAY
  1. STARTDATE
  1. STARTWEEKDAY
  1. SERVER
  1. PROJECTNAME
  1. USERNAME
  1. QUEUENAME
  1. EXECHOSTTYPENAME and EXECHOSTMAPNAME
  1. EXECHOSTMODELNAME and EXECHOSTMAPNAME
  1. SUBHOSTMAPNAME
  1. NUMEXECPROCS
  1. JOBEXITSTATUS
  1. JOBEXITCODEDESC
  1. PENDINGTIMECATEGORY
  1. VENDOR and FEATURE
  1. EVENT
  1. EVENTREASON
  2. JOBGROUP1, JOBGROUP2, JOBGROUP3, and JOBGROUP4

Measure

  1. NUMOFJOB
  1. RUNTIME
  1. PENDINGTIME
  1. Calculation: "Total Job Run Time" + "Total Pending Time"
  1. CPUTIME
  1. MEMUSAGE
  1. SWAPUSAGE
  1. Calculation: "Total CPU Time" / 60 / "Total Job Run Time"
  1. Calculation: "Total Job Run Time" / "Num of Jobs"
  1. Calculation: "Total Pending Time" / "Num of Jobs"
  1. Calculation: "Total Turnaround Time" / "Num of Jobs"
  1. Calculation: "Total Job Run Time" / "Total Turnaround Time"
  1. Calculation: "Total CPU Time" / "Num of Jobs"
  1. Calculation: "Total Mem Usage" / "Num of Jobs"
  1. Calculation: "Total Swap Usage" / "Num of Jobs"
  1. CHECKOUTNUM
  1. CHECKOUTMAX
  1. Calculation: "DURATION" / 60
  1. Calculation: "Total Feature Min." / "NumofJobUsedLicense"
  1. EVENTCOUNT

Hardware Performance Prediction cube

Dimension

  1. Metric
  1. Weekday
  1. Cluster
  1. Host Type
  1. Host Model
  1. Activity Level
  1. Activity Level After 4 Weeks
  1. Activity Level After 8 Weeks
  1. Activity Level After 12 Weeks

Measure

  1. Average hourly value
  1. Average hourly maximum
  1. Average hourly minimum
  1. Maximum hourly value
  1. Minimum hourly value
  1. Number of systems
  1. Metric critical threshold
  1. Times critical threshold exceeded
  1. Days to critical threshold
  1. 4th week forecasted average
  1. 4th week forecasted maximum
  1. 4th week forecasted minimum
  1. 8th week forecasted average
  1. 8th week forecasted maximum
  1. 8th week forecasted minimum
  1. 12th week forecasted average
  1. 12th week forecasted maximum
  1. 12th week forecasted minimum

The following data columns are from the Hardware Performance Prediction datamart.

Dimension

  1. METRICDESC
  1. WEEKDAYNAME
  1. CLUSTERNAME and HOSTNAME
  1. HOSTTYPE and HOSTNAME
  1. HOSTMODEL and HOSNAME
  1. THISWEEKRAN
  1. 4WEEKRANK
  1. 8WEEKRANK
  1. 12WEEKRANK

Measure

  1. Ad_AVGVAL
  1. Ad_AVGMAX
  1. Ad_AVGMIN
  1. Ad_MAXVALUE
  1. Ad_MINVALUE
  1. Calculation based on "Host Type" (category number in the host level)
  1. Ad_THRESHOLDVALUE
  1. TIMESEXCRITICAL
  1. DAYSTOCRITICAL
  1. Ad_PREDICT4AVG
  1. Ad_PREDICT4MAX
  1. Ad_PREDICT4MIN
  1. Ad_PREDICT8AVG
  1. Ad_PREDICT8MAX
  1. Ad_PREDICT8MIN
  1. Ad_PREDICT12AVG
  1. Ad_PREDICT12MAX
  1. Ad_PREDICT12MIN

Hourly FLEX License cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hours
  1. Shift
  1. Project
  1. License Server
  1. Vendor
  1. Version
  1. LSF/non-LSF
  1. Event
  1. Event Reason

Measure

  1. # of checkouts
  1. Max # of checkouts
  1. Total feature time (min)
  1. Avg feature time (min)
  1. # of events

The following data columns are from the Hour FLEX License datamart.

Dimension

  1. CLUSTERNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT and HOUR
  1. PROJECTNAME
  1. SERVER
  1. VENDOR and FEATURE
  1. VERSION
  1. ISLSF
  1. EVENT
  1. EVENTREASON

Measure

  1. CHECKOUTNUM
  1. CHECKOUTMAX
  1. DURATION
  1. Calculation: "Total feature time"/"# of events"
  1. EVENTCOUNT

Hourly Hardware cube

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Host Model
  1. Host Type
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. # of logins
  1. CPU (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT
  1. HOSTMODEL and HOSTNAME
  1. HOSTTYPE and HOSTNAME
  1. NPROCS and HOSTNAME
  1. NCORES and HOSTNAME
  1. NTHREADS and HOSTNAME
  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. Calculaion: 1 - "Free Tmp"/"Max Tmp"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. Tmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. Calculation: "Max mem" - "Free mem"
  1. Calculation: "Max swap" - "Free swap"
  1. Jobut
  1. Jobmemory
  1. Jobswap

Hourly Hardware by Hostgroup cube

Dimension

  1. Host Group
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift

Measure

  1. # of logins
  1. CPU (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)

The following data columns are in the Hourly Hardware by Hostgroup datamart.

Dimension

  1. HOSTGROUPNAME
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT and HOUR

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. Calculaion: 1 - "Free Tmp"/"Max Tmp"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. Tmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. Calculation: "Max mem" - "Free mem"
  1. Calculation: "Max swap" - "Free swap"
  1. Jobut
  1. Jobmemory
  1. Jobswap

Hourly Hardware (with Boolean Resources) cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Host Model
  1. Host Type
  1. Boolean Resource
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core

Measure

  1. # of logins
  1. CPU (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. CPU factor

The following data columns are in the Hourly Hardware(with Boolean Resources) datamart unless otherwise specified.

Dimension

  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT
  1. HOSTMODEL and HOSTNAME
  1. HOSTTYPE and HOSTNAME
  1. BOOLEAN_RESOURCE
  1. NPROCS and HOSTNAME
  1. NCORES and HOSTNAME
  1. NTHREADS and HOSTNAME

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. Calculaion: 1 - "Free Tmp"/"Max Tmp"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. Tmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. Calculation: "Max mem" - "Free mem"
  1. Calculation: "Max swap" - "Free swap"
  1. Jobut
  1. Jobmemory
  1. Jobswap
  1. LSFCPUFACTOR

Hourly Host Availability cube

Dimension

  1. Cluter
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Host Model
  1. Host Type

Measure

  1. Down hours
  1. # of down times
  1. Down percent

The following data columns are in the Hourly Host Availability datamart unless otherwise specified.

Dimension

  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT and HOUR
  1. HOSTMODEL and HOSTNAME columns in the Host Properties datamart
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart

Measure

  1. DOWNMINUTES
  1. DOWNTIMES
  1. Calculation: "Down hours"/"Period"

Hourly Host Status cube

Dimension

  1. Status
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Host Model
  1. Host Type

Measure

  1. Duration

The following data columns are in the Hourly Host Status datamart unless otherwise specified.

Dimension

  1. STATUS
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT and HOUR
  1. HOSTMODEL and HOSTNAME columns in the Host Properties datamart
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart

Measure

  1. DURATION

Hourly HPC Workload cube

Dimension

  1. Job Types by Execution Host
  1. Date
  1. Jobs by Job Types
  1. Weekday
  1. Business Hour
  1. Shift
  1. Date/Submit
  1. Weekday/Submit
  1. Business Hour/Submit
  1. Date/Start
  1. Weekday/Start
  1. Business Hour/Start
  1. Project
  1. User
  1. Queue
  1. Application Tag
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Processors
  1. Job Type Desc
  1. Job Exit Status
  1. Job Exit Code
  1. Pending Time Rank
  1. User Group

Measure

1. Weighted Num of Jobs

  1. Total Job Run Time
  1. Total Job Pend Time
  1. Total Job Turnaround Time
  1. Total CPU Time
  1. Total Mem Usage
  1. Total Swap Usage
  1. CPU by Run Time
  1. Run Min. per Job
  1. Pend Min. per Job
  1. Turnaround Min. per Job
  1. Run by Turnaround
  1. CPU time per Job
  1. Mem per Job
  1. Swap per Job

The following data columns are in the Hourly HPC Job Information datamart unless specified otherwise.

Dimension

  1. CLUSTERNAME, EXECUTIONHOST and JobExecutionType (calculation)
  1. FINISHDATE
  1. CLUSTERNAME, JobExecutionType (Calculation), JOBID, JOBARRAY, HPCJOBARRAY
  1. FINISHWEEKDA
  1. FINISHCOREHOUR
  1. FINISHSHIFT and FINISHHOUR
  1. SUBMITDATE
  1. SUBMITWEEKDAY
  1. SUBMITCOREHOUR
  1. STARTDATE
  1. STARTWEEKDAY
  1. STARTCOREHOUR
  1. PROJECTNAME
  1. USERNAME
  1. QUEUENAME
  1. APPLICATION_TAG
  1. NPROCS and HOSTNAME
  1. NCORES and HOSTNAME
  1. NTHREADS and HOSTNAME
  1. NUMEXECPROCS
  1. JOBTYPE
  1. JobExecutionType (calculation) and JOBEXITSTATUS
  1. JobExecutionType (calculation) and JOBEXITCODEDESC (calculation)
  1. PENDINGTIMECATEGORY
  1. USERGROUPNAME

Measure

  1. NUMJOB (Calculation: 1 / "NUMEXECPROCS")
  1. RUNTIME
  1. PENDINGTIME
  1. Calculation: "Total Job run time" + "Total Job pend time"
  1. CPUTIME
  1. MEMUSAGE
  1. SWAPUSAGE
  1. Calculation: "Total CPU Time" / 60 / "Total Job Run Time"
  1. Calculation: "Total Job Run Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Pending Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Turnaound Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Job Run Time" / "Total Turnaound Time"
  1. Calculation: "Total CPU Time" / "Weighted Num of Jobs"
  1. Calculation: "Total Mem Usage" / "Weighted Num of Jobs"
  1. Calculation: "Total Swap Usage" / "Weighted Num of Jobs"

Hourly Job Resource Consumption cube

Dimension

  1. Resource
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Project
  1. User

Measure

  1. Usage (minute)
  1. Cost

The following data columns are from the Hourly Job Reserved Resource Usage datamart.

Dimension

  1. RESOURCENAME
  1. CLUSTERNAME and HOSTNAME
  1. FINISHDATE
  1. FINISHWEEKDAY
  1. FINISHCOREHOUR
  1. FINISHSHIFT and FINISHHOUR
  1. PROJECTNAME
  1. USERNAME

Measure

  1. USAGE
  1. COST

Hourly Job Slot Usage cube

Dimension

  1. Group Type
  1. Cluster
  1. Date
  1. Shift
  1. Business Hour
  1. Weekday

Measure

  1. Max Slot Usage
  1. Min Slot Usage
  1. Avg Slot Usage
  1. Max Slot Utilization (%)
  1. Min Slot Utilization (%)
  1. Avg Slot Utilization (%)

The following data columns are in the Hourly Job Slot Usage by Group datamart.

Dimension

  1. GROUP_TYPE and GROUP
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. SHIFT and HOUR
  1. COREHOURE
  1. WEEKDAY

Measure

  1. MAX_VALUE
  1. MIN_VALUE
  1. Calculation: SUM_VALUE/COUNTER
  1. MAX_UTIL
  1. MIN_UTIL
  1. AVG_UTIL

Hourly Job Statistics cube

Dimension

  1. Group
  1. Cluster
  1. Date
  1. Business Hour
  1. Shift
  1. Job Type
  1. Job Status
  1. Weekday

Measure

  1. Avg Job Number
  1. Min Job Number
  1. Max Job Number

The following data columns are in the Hourly Job Statistics datamart.

Dimension

  1. GROUPNAME and DIMENSIONNAME
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. COREHOUR
  1. SHIFT and HOUR
  1. JOBTYPE
  1. JOBSTATUS
  1. WEEKDAY

Measure

  1. Calculation: TOTALJOBNUMBER/COUNTER
  1. MINJOBNUMBER
  1. MAXJOBNUMBER

Hourly Job Throughput cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Queue
  1. Host Type
  1. Host Model
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Project
  1. User

Measure

  1. # of submitted jobs
  1. # of done jobs
  1. # of exited jobs

The following data columns are in the Hourly Jobthroughput datamart unless specified otherwise.

Dimension

  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT and HOUR
  1. QUEUENAME
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart
  1. HOSTMODEL and HOSTNAME columns in the Host Properties datamart
  1. NPROCS and HOSTNAME
  1. NCORES and HOSTNAME
  1. NTHREADS and HOSTNAME
  1. PROJECTNAME
  1. USERNAME

Measure

  1. SUBMIT_NUM
  1. DONE_NUM
  1. EXIT_NUM

Hourly Jobs by Pending Reason cube

Dimension

  1. Group
  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift

Measure

  1. Avg Job Number
  1. Min job Number
  1. Max Job Number

The following data columns are in the Hourly Jobs by Pending Reason datamart.

Dimension

  1. GROUPNAME and DIMENSIONNAME
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SHIFT and HOUR

Measure

  1. Calculation: TOTALJOBNUMBER/COUNTER
  1. MINJOBNUMBER
  1. MAXJOBNUMBER

Hourly License Consumption cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host
  1. License server

Measure

  1. License minutes (number x minutes)
  1. Cost
  1. Average # of used licenses

The following data columns are in the Hourly Licnese Consumption datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. USERNAME
  1. HOSTNAME
  1. SERVER

Measure

  1. USEDMINUTES
  1. LICENSECOST
  1. Calculation: "License minutes"/"# of hours"/60

Hourly License Denial cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host
  1. License server

Measure

  1. License denials

The following data columns are in the Hourly License Denial datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. USERNAME
  1. HOSTNAME
  1. SERVER

Measure

  1. DENIALS

Hourly License Denial By Feature cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host

Measure

  1. License denials

The following data columns are in the Hourly License Denial By Feature datamart.

Dimension

  1. VENDOR and FEATIRE
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. USERNAME
  1. HOSTNAME

Measure

  1. DENIALS

Hourly License Usage By User cube

Dimension

  1. License vendor
  1. User
  1. Date
  1. Weekday
  1. Business Hour
  1. License server

Measure

  1. Average usage by user
  1. Peak usage by user
  1. Average # of available licenses

The following data columns are in the Hourly License Usage By User datamart.

Dimension

  1. VENDOR and FEATURE
  1. USERNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SERVER

Measure

  1. Calculations: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. TOTALAVAIL

Hourly License Usage By User Group cube

Dimension

  1. License vendor
  1. Usergroup
  1. Date
  1. Weekday
  1. Business Hour
  1. License server

Measure

  1. Average usage by usergroup
  1. Peak usage by usergroup
  1. Average # of available licenses

The following data columns are in the Hourly License Usage by User Group datamart.

Dimension

  1. VENDOR and FEATURE
  1. USERGROUPNAME
  1. DATE
  1. WEEKDAY
  1. COREHOUR
  1. SERVER

Measure

  1. Calculation: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. TOTALAVAIL

Hourly License Utilization cube

Dimension

  1. License vendor
  1. Date
  1. License server

Measure

  1. Average usage by server
  1. Peak usage by server
  1. Average utilization by server (%)
  1. Peak utilization by server (%)
  1. Average # of available licenses
  1. Peak # of available licenses by server
  1. Utilization at peak usage by server (%)
  1. # of reserved licenses by server

The following data columns are in the Hourly License Utilization datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. SERVER

Measure

  1. Calculation: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. AVGUTIL
  1. MAXUTIL
  1. TOTALAVAIL
  1. MAXTOTALAVAIL
  1. Calculation: WEIGHTEDUTIL - MAXUSAGE
  1. Calculation: SUMRESERVATION/SAMPLINGCOUNT

Hourly License Utilization By Feature cube

Dimension

  1. License vendor
  1. Date

Measure

  1. Average usage by feature
  1. Peak usage by feature
  1. Average utilization by feature (%)
  1. Peak utilization by feature (%)
  1. Average # of available licenses
  1. Peak # of available licenses by feature
  1. Utilization at peak usage by feature (%)
  1. # of reserved licenses by feature

The following data columns are in the Hourly License Utilization By Feature datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE

Measure

  1. Calculation: SUMUSAGE/SAMPLINGCOUNT
  1. MAXUSAGE
  1. Calculation: SUMUTIL/SAMPLINGCOUNT
  1. MAXUTIL
  1. TOTALAVAIL
  1. MAXTOTALAVAIL
  1. Calculation: WEIGHTEDUTIL - MAXUSAGE
  1. Calculation: SUMRESERVATION/SAMPLINGCOUNT

Hourly Shared Resource cube

Dimension

  1. Resource
  1. Cluster
  1. Date
  1. Business Hour
  1. Shift

Measure

  1. Average usage
  1. Average utilization (%)
  1. Average total available
  1. Average free

The following data columns are in the Hourly Shard Resource Usage datamart.

Dimension

  1. RESOURCENAME
  1. CLUSTERNAME and HOSTNAME
  1. DATE
  1. COREHOUR
  1. SHIFT and HOUR

Measure

  1. USAGE
  1. "Average usage"/"Average total available"
  1. TOTALAVAIL
  1. FREE

Hourly Workload cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Date/Submit
  1. Weekday/Submit
  1. Business Hour/Submit
  1. Date/Start
  1. Weekday/Start
  1. Business Hour/Start
  1. Project
  1. User
  1. Queue
  1. Application Tag
  1. Host Type
  1. Host Model
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Host Type/Submit
  1. User Group
  1. Host Model/Submit
  1. Job Type
  1. # of CPUs
  1. Job Exit Status
  1. Job Exit Code
  1. Pending Time Rank
  1. Run Time Rank
  1. CPU Time Rank
  1. Memory Usage Rank
  1. Job Group

Measure

  1. # of jobs
  1. Job run time (min)
  1. Job pend time (min)
  1. Job turnaround time (min)
  1. CPU time (sec)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU time/Job run time (%)
  1. Avg run time/job (min)
  1. Avg pend time/job (min)
  1. Avg turnaround time/job (min)
  1. Job run time/Turnaround time (%)
  1. Avg CPU time/job (min)
  1. Avg used mem/job (min)
  1. Avg used swap/job (MB)

The following data columns are in the Hourly Job Information datamart unless specified otherwise.

Dimension

  1. CLUSTERNAME and HOSTNAME
  1. FINISHDATE
  1. FINISHWEEKDA
  1. FINISHCOREHOUR
  1. FINISHSHIFT and FINISHHOUR
  1. SUBMITDATE
  1. SUBMITWEEKDAY
  1. SUBMITCOREHOUR
  1. STARTDATE
  1. STARTWEEKDAY
  1. STARTCOREHOUR
  1. PROJECTNAME
  1. USERNAME
  1. QUEUENAME
  1. APPLICATION_TAG
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart
  1. HOSTMODEL and HOSTNAME columns in the Host Properties datamart
  1. # of Host CPU
  1. # of Cores per CPU
  1. # of Threads per Core
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart
  1. USERGROUPNAME
  1. HOSTMODEL and HOSTNAME columns in Host Properties datamart
  1. JOBTYPE
  1. NUMEXECPROCS
  1. JOBEXITSTATUS
  1. JOBEXITCODE
  1. PENDINGTIMECATEGORY
  1. RUNTIMECATEGORY
  1. CPUTIMECATEGORY
  1. MEMORYUSAGECATEGORY
  1. JOBGROUP1, JOBGROUP2, JOBGROUP3, and JOBGROUP4

Measure

  1. "1"
  1. RUNTIME
  1. PENDINGTIME
  1. Calculation: "Job run time" + "Job pend time"
  1. CPUTIME
  1. MEMUSAGE
  1. SWAPUSAGE
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation

Hourly Workload License cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Date/Submit
  1. Weekday/Submit
  1. Business Hour/Submit
  1. Date/Start
  1. Weekday/Start
  1. Business Hour/Start
  1. License Server
  1. Project
  1. User
  1. Queue
  1. Host Type
  1. Host Model
  1. Host Type/Submit
  1. Host Model/Submit
  1. Job Type
  1. # of CPUs
  1. Job Exit Status
  1. Job Exit Code
  1. Pending Time Rank
  1. Vendor
  1. Event
  1. Event Reason
  2. Job Group

Measure

  1. # of jobs
  1. Job run time (min)
  1. Job pend time (min)
  1. Job turnaround time (min)
  1. CPU time (sec)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU time/Job run time (%)
  1. Avg run time/job (min)
  1. Avg pend time/job (min)
  1. Avg turnaround time/job (min)
  1. Job run time/Turnaround time (%)
  1. Avg CPU time/job (min)
  1. Avg used mem/job (MB)
  1. Avg used swap/job (MB)
  1. # of checkouts
  1. Max # of checkouts
  1. Total feature time (min)
  1. Avg feature time (min)
  1. # of events

The following data columns are in the Hourly Workload License datamart unless otherwise specified.

Dimension

  1. CLUSTERNAME
  1. FINISHDATE
  1. FINISHWEEKDAY
  1. FINISHCOREHOUR
  1. FINISHSHIFT and FINISHHOUR
  1. SUBMITDATE
  1. SUBMITWEEKDAY
  1. SUBMITCOREHOUR
  1. STARTDAY
  1. STARTWEEKDAY
  1. STARTCOREHOUR
  1. SERVER
  1. PROJECTNAME
  1. USERNAME
  1. QUEUENAME
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart
  1. HOSTMODEL and HOSTNAME columns in the Host Properties datamart
  1. HOSTTYPE and HOSTNAME columns in the Host Properties datamart
  1. HOSTMODEL and HOSTNAME columns in the Host Properties datamart
  1. JOBTYPE
  1. NUMEXECPROCS
  1. JOBEXITSTATUS
  1. JOBEXITCODE
  1. PENDINGTIMECATEGORY
  1. VENDOR and FEATURE
  1. EVENT
  1. EVENTREASON
  1. JOBGROUP1, JOBGROUP2, JOBGROUP3, and JOBGROUP4

Measure

  1. NUMOFJOB
  1. RUNTIME
  1. PENDINGTIME
  1. Calculation: "Job run time" + "Job pend time"
  1. CPUTIME
  1. MEMUSAGE
  1. SWAPUSAGE
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. Calculation
  1. CHECKOUTNUM
  1. CHECKOUTMAX
  1. DURATION
  1. Calculation
  1. EVENTCOUNT

Job Throughput Prediction cube

Dimension

  1. Weekday
  1. Cluster
  1. Queue

Measure

  1. Average # of submitted jobs
  1. Average # of exited jobs
  1. Average # of done jobs
  1. 4th week forecasted # of submitted jobs
  1. 4th week of forecasted # of exited jobs
  1. 4th week of forecasted # of done jobs
  1. 8th week forecasted # of submitted jobs
  1. 8th week of forecasted # of exited jobs
  1. 8th week of forecasted # of done jobs
  1. 12th week forecasted # of submitted jobs
  1. 12th week of forecasted # of exited jobs
  1. 12th week of forecasted # of done jobs

The following data columns are in the Jobthroughput Prediction datamart

Dimension

  1. WEEKDAY
  1. CLUSTERNAME
  1. QUEUENAME

Measure

  1. AVG_SUBMIT_NUM
  1. AVG_EXIT_NUM
  1. AVG_DONE_NUM
  1. PD4_AVGSUBMIT_NUM
  1. PD4_AVGEXIT_NUM
  1. PD4_AVGDONE_NUM
  1. PD8_AVGSUBMIT_NUM
  1. PD8_AVGEXIT_NUM
  1. PD8_AVGDONE_NUM
  1. PD12_AVGSUBMIT_NUM
  1. PD12_AVGEXIT_NUM
  1. PD12_AVGDONE_NUM

License Utilization Prediction cube

Dimension

  1. License vendor
  1. Weekday
  1. License server

Measure

  1. Average utilization (%)
  1. Peak utilization (%)
  1. 4th week forecasted avg utilization (%)
  1. 4th week forecasted peak utilization (%)
  1. 8th week forecasted avg utilization (%)
  1. 8th week forecasted peak utilization (%)
  1. 12th week forecasted avg utilization (%)
  1. 12th week forecasted peak utilization (%)

The following data columns are in hte License Utilization Prediction datamart.

Dimension

  1. LIC_VENDOR_NAME and LIC_FEATURE_NAME
  1. WEEKDAY
  1. LIC_SERVER_NAME

Measure

  1. AVGVAL
  1. AVGMAX
  1. PREDICT4AVG
  1. PREDICT4MAX
  1. PREDICT8AVG
  1. PREDICT8MAX
  1. PREDICT12AVG
  1. PREDICT12MAX

Hardware Histogram cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Host Model
  1. Host Type
  1. Rank Type

Measure

  1. Occurrence
  1. Duration

The following data columns are in the Hardware Histogram datamart.

Dimension

  1. CLUSTERNAME and HOST_CLUSTER
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. SHIFT and HOUR
  1. HOSTMODEL and HOST_CLUSTER
  1. HOSTTYPE and HOST_CLUSTER
  1. RANKTYPE and RANKNAME

Measure

  1. OCCURRENCE
  1. DURATION

License Usage by Feature Histogram cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. Rank Type

Measure

  1. Occurrence
  1. Duration

The following data columns are in the License Usage by Feature Histogram datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. RANKTYPE and RANKNAME

Measure

  1. OCCURRENCE
  1. DURATION

License Usage by Server Histogram cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. License server
  1. Rank Type

Measure

  1. Occurrence
  1. Duration

The following data columns are in the License Usage by Server Histogram datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. SERVER
  1. RANKTYPE and RANKNAME

Measure

  1. OCCURRENCE
  1. DURATION

Daily Hardware (with Boolean Resources and Core Utilization) cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Host Model
  1. Host Type
  1. Boolean Resource
  1. # of CPUs per Host
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Host-Core ID

Measure

  1. # of logins
  1. CPU ut (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. CPU Factor
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. JobMemory
  1. JobSwap
  1. Weight4CPU%
  1. Core ut (%)
  1. # of hosts

The following data columns are in the Daily Hardware (with Boolean Resources and Core Utilization) and Daily Core Utilization datamart.

Dimension

  1. CLUSTERNAME and HOST_CLUSTER
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. HOSTMODEL and HOST_CLUSTER
  1. HOSTTYPE and HOST_CLUSTER
  1. BOOLEAN_RESOURCE and HOST_CLUSTER
  1. NPROCS and HOST_CLUSTER
  1. NCORES and HOST_CLUSTER
  1. NTHREADS and HOST_CLUSTER
  1. HOST_CLUSTER and Core_ID

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. "Avail. Tmp MB" / "Tmp MB"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. AvailTmp
  1. LSFCPUFACTOR
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. "Memory MB" - "Avail. Mem. MB"
  1. "Swap MB" - "Avail. Swap MB"
  1. Jobut
  1. "JobMemory" / 1024
  1. "JobSwap" / 1024
  1. Jobmemory
  1. Jobswap
  1. Weight4CPU%
  1. CORE_UTIL
  1. Cluster and Host

Daily Hardware (with Core Utilization) cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Host Model
  1. Host Type
  1. # of CPUs per Host
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Host-Core ID

Measure

  1. # of logins
  1. CPU ut (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. JobMemory
  1. JobSwap
  1. Weight4CPU%
  1. Core ut (%)
  1. # of hosts

The following data columns are in the Daily Hardware (with Core Utilization) and Daily Core Utilization datamart.

Dimension

  1. CLUSTERNAME and HOST_CLUSTER
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. HOSTMODEL and HOST_CLUSTER
  1. HOSTTYPE and HOST_CLUSTER
  1. NPROCS and HOST_CLUSTER
  1. NCORES and HOST_CLUSTER
  1. NTHREADS and HOST_CLUSTER
  1. HOST_CLUSTER and Core_ID

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. "Avail. Tmp MB" / "Tmp MB"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. AvailTmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. "Memory MB" - "Avail. Mem. MB"
  1. "Swap MB" - "Avail. Swap MB"
  1. Jobut
  1. "JobMemory" / 1024
  1. "JobSwap" / 1024
  1. Jobmemory
  1. Jobswap
  1. Weight4CPU%
  1. CORE_UTIL
  1. Cluster and Host

Hourly Hardware (with Boolean Resources and Core Utilization) cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Host Model
  1. Host Type
  1. Boolean Resource
  1. # of CPUs per Host
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Host-Core ID

Measure

  1. # of logins
  1. CPU ut (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. JobMemory
  1. CPU Factor
  1. JobSwap
  1. Weight4CPU%
  1. Core ut (%)
  1. # of hosts

The following data columns are in the Hourly Hardware (with Boolean Resources and Core Utilization) and Hourly Core Utilization datamart.

Dimension

  1. CLUSTERNAME and HOST_CLUSTER
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. SHIFT and HOUR
  1. HOSTMODEL and HOST_CLUSTER
  1. HOSTTYPE and HOST_CLUSTER
  1. BOOLEAN_RESOURCE and HOST_CLUSTER
  1. NPROCS and HOST_CLUSTER
  1. NCORES and HOST_CLUSTER
  1. NTHREADS and HOST_CLUSTER
  1. HOST_CLUSTER and Core_ID

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. "Avail. Tmp MB" / "Tmp MB"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. AvailTmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. "Memory MB" - "Avail. Mem. MB"
  1. "Swap MB" - "Avail. Swap MB"
  1. Jobut
  1. "JobMemory" / 1024
  1. "JobSwap" / 1024
  1. Jobmemory
  1. LSFCPUFACTOR
  1. Jobswap
  1. Weight4CPU%
  1. CORE_UTIL
  1. Cluster and Host

Hourly Hardware (with Core Utilization) cube

Dimension

  1. Cluster
  1. Date
  1. Weekday
  1. Business Hour
  1. Shift
  1. Host Model
  1. Host Type
  1. # of CPUs per Host
  1. # of Cores per CPU
  1. # of Threads per Core
  1. Host-Core ID

Measure

  1. # of logins
  1. CPU ut (%)
  1. Used mem (%)
  1. Used swap (%)
  1. Used tmp (%)
  1. 15s run queue
  1. 1min run queue
  1. 15min run queue
  1. Paging (pgs io/s)
  1. Disk IO (KB/second)
  1. Inter. idle time (min)
  1. Free mem (MB)
  1. Free swap (MB)
  1. Free tmp (MB)
  1. Max mem (MB)
  1. Max swap (MB)
  1. Max tmp (MB)
  1. Used mem (MB)
  1. Used swap (MB)
  1. CPU (%) used by jobs
  1. Job used mem (MB)
  1. Job used swap (MB)
  1. JobMemory
  1. JobSwap
  1. Weight4CPU%
  1. Core ut (%)
  1. # of hosts

The following data columns are in the Hourly Hardware (with Core Utilization) and Hourly Core Utilization datamart.

Dimension

  1. CLUSTERNAME and HOST_CLUSTER
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. SHIFT and HOUR
  1. HOSTMODEL and HOST_CLUSTER
  1. HOSTTYPE and HOST_CLUSTER
  1. NPROCS and HOST_CLUSTER
  1. NCORES and HOST_CLUSTER
  1. NTHREADS and HOST_CLUSTER
  1. HOST_CLUSTER and Core_ID

Measure

  1. Ls
  1. CPUutil
  1. Memutil
  1. Swaputil
  1. "Avail. Tmp MB" / "Tmp MB"
  1. R15s
  1. R1m
  1. R15m
  1. Pg
  1. Io
  1. It
  1. Mem
  1. Swap
  1. AvailTmp
  1. Maxmemory
  1. Maxswap
  1. Maxtmp
  1. "Memory MB" - "Avail. Mem. MB"
  1. "Swap MB" - "Avail. Swap MB"
  1. Jobut
  1. "JobMemory" / 1024
  1. "JobSwap" / 1024
  1. Jobmemory
  1. Jobswap
  1. Weight4CPU%
  1. CORE_UTIL
  1. Cluster and Host

Daily License Usage Statistics by Feature cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host

Measure

  1. License denials
  1. Average usage by feature
  1. Peak usage by feature
  1. Average utilization by feature (%)
  1. Average # of available licenses
  1. Peak # of available licenses by feature
  1. Peak utilization by feature (%)
  1. # of reserved licenses by feature
  1. Utilization at peak usage by feature (%)
  1. License available minutes (number x minutes)
  1. License minutes (number x minutes)
  1. Cost

The following data columns are in the Daily License Usage Statistics by Feature - Denial, Daily License Usage Statistics by Feature - Utilization and Daily License Usage Statistics by Feature - Consumption datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. USERNAME
  1. HOSTNAME

Measure

  1. DENIALS
  1. AvgUsage
  1. MAXUSAGE
  1. AvgUtil
  1. AvgTotalAvail
  1. MAXTOTALAVAIL
  1. MAXUTIL
  1. AvgReservation
  1. "WEIGHTEDUTIL" - "MAXUSAGE"
  1. TotalAvailTime
  1. USEDMINUTES
  1. LICENSECOST

Hourly License Usage Statistics by Feature cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host

Measure

  1. License denials
  1. Average usage by feature
  1. Peak usage by feature
  1. Average utilization by feature (%)
  1. Average # of available licenses
  1. Peak # of available licenses by feature
  1. Peak utilization by feature (%)
  1. Utilization at peak usage by feature (%)
  1. # of reserved licenses by feature
  1. License available minutes (number x minutes)
  1. License minutes (number x minutes)
  1. Cost

The following data columns are in the Hourly License Usage Statistics by Feature - Denial, Hourly License Usage Statistics by Feature - Utilization and Hourly License Usage Statistics by Feature - Consumption datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. USERNAME
  1. HOSTNAME

Measure

  1. DENIALS
  1. AvgUsage
  1. MAXUSAGE
  1. AvgUtil
  1. AvgTotalAvail
  1. MAXTOTALAVAIL
  1. MAXUTIL
  1. AvgReservation
  1. "WEIGHTEDUTIL" - "MAXUSAGE"
  1. AvgReservation
  1. TotalAvailTime
  1. USEDMINUTES
  1. LICENSECOST

Daily License Usage Statistics cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host
  1. License server

Measure

  1. License denials
  1. Average usage by server
  1. Peak usage by server
  1. Average utilization by server (%)
  1. Peak utilization by server (%)
  1. Average # of available licenses
  1. Peak # of available licenses by server
  1. Utilization at peak usage by server (%)
  1. # of reserved licenses by server
  1. License available minutes (number x minutes)
  1. License minutes (number x minutes)
  1. Cost

The following data columns are in the Daily License Usage Statistics - Denial, Daily License Usage Statistics - Utilization and Daily License Usage Statistics - Consumption datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. USERNAME
  1. HOSTNAME
  1. SERVER

Measure

  1. DENIALS
  1. AvgUsage
  1. MAXUSAGE
  1. AvgUtil
  1. MAXUTIL
  1. TOTALAVAIL
  1. MAXTOTALAVAIL
  1. "WeightedUtil" - "MAXUSAGE"
  1. LicReservation
  1. TotalAvailTime
  1. USEDMINUTES
  1. LICENSECOST

Hourly License Usage Statistics cube

Dimension

  1. License vendor
  1. Date
  1. Weekday
  1. Business Hour
  1. User
  1. Host
  1. License server

Measure

  1. License denials
  1. Average usage by server
  1. Peak usage by server
  1. Average utilization by server (%)
  1. Peak utilization by server (%)
  1. Average # of available licenses
  1. Utilization at peak usage by server (%)
  1. Peak # of available licenses by server
  1. # of reserved licenses by server
  1. License available minutes (number x minutes)
  1. License minutes (number x minutes)
  1. Cost

The following data columns are in the Hourly License Usage Statistics - Denial, Hourly License Usage Statistics - Utilization and Hourly License Usage Statistics - Consumption datamart.

Dimension

  1. VENDOR and FEATURE
  1. DATE
  1. WEEKDAY
  1. BusinessHour
  1. USERNAME
  1. HOSTNAME
  1. SERVER

Measure

  1. DENIALS
  1. AvgUsage
  1. MAXUSAGE
  1. AvgUtil
  1. MAXUTIL
  1. TOTALAVAIL
  1. "WeightedUtil" - "MAXUSAGE"
  1. MAXTOTALAVAIL
  1. LicReservation
  1. TotalAvailTime
  1. USEDMINUTES
  1. LICENSECOST

Cluster Capacity cube

Dimension

  1. Cluster
  1. Date
  1. Host Type
  1. Host Model
  1. Project
  1. Queue
  1. User
  1. Job Slot Qty
  1. Weekday

Measure

  1. Avg # of slots
  1. Total # of slots

The following data columns are in the Cluster Capacity datamart.

Dimension

  1. CLUSTERNAME
  1. DATE
  1. LSFHOST_TYPE
  1. LSFHOST_MODEL
  1. Project
  1. QUEUENAME
  1. USERNAME
  1. CPUs
  1. WeekDayName

Measure

  1. SLOTS
  1. SLOTS

Jobs vs Slot Utilization cube

Dimension

  1. Category
  1. Cluster
  1. Date
  1. Host Type
  1. Host Model
  1. Job Slot Qty
  1. Project
  1. Queue
  1. User
  1. Weekday

Measure

  1. # of slots
  1. # of jobs

The following data columns are in the Jobs Vs Slot Utilization datamart.

Dimension

  1. CATEGORY
  1. CLUSTERNAME
  1. DATE
  1. LSFHOST_TYPE
  1. LSFHOST_MODEL
  1. CPUQTY
  1. Project
  1. QUEUENAME
  1. USERNAME
  1. WeekDayName

Measure

  1. SLOTS
  1. Jobs

Health Check cube

Dimension

  1. Cluster
  1. Cube Name

Measure

  1. Latency

The following data columns are in the Health Check datamart.

Dimension

  1. CLUSTER_NAME
  1. CUBE_NAME and CLUSTER_NAME

Measure

  1. AGE

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