Overview: Installing Your Platform Symphony Cluster

A graphical view on steps to take to install a Platform Symphony cluster in a production environment.

Upgrading Your Platform Symphony 4.1 Cluster

This document supports Symphony customers who want to upgrade their version 4.1 cluster to version 5.0.

Note: To upgrade a Symphony 4.0 cluster, you must upgrade to version 4.1 first, then upgrade to 5.0.

Installing a Platform Symphony Client

How to install the client software on hosts that do not belong to the cluster. Client hosts can submit work to the cluster.

Upgrading Your Platform Symphony 3.x Cluster

This document supports Symphony customers who require a 5.0 cluster with the same cluster settings and configuration as their 3.1 or 3.2 cluster. Direct upgrade of the 3.x cluster is not supported.

Troubleshooting RPM Installations

For installations on Linux only.

Installing Platform Symphony Developer Edition

How to install Symphony Developer Edition for application developers to develop and test applications. You do not need a Symphony cluster.

Installing and Using the Platform Symphony Solaris SDK

How to install the Symphony SDK on the Solaris platform. The Platform Symphony SDK for Solaris contains Symphony API libraries and code samples to enable you to develop and run Symphony clients and services on the Solaris platform.

Cluster and Application Management Guide

Manage and configure your cluster, and deploy and manage Symphony applications.

FAQs

Frequently asked questions on Symphony and developer topics.

Symphony Reference

Detailed information about Symphony commands and configuration files.

Error Message Reference

Detailed information about error messages, what generates them, and actions to take, if any.

Data Schema Tables for Platform Symphony

Reference to the Symphony database schema for cluster and application data.

Getting Started: Developer Overview

A graphical view on steps to take to develop an application, test it in Developer Edition, and running it on the grid.

Application Development Guide

A developer's resource for working with clients, services, data, and running applications in a developer environment and on the grid.

FAQs for Developer Edition

Frequently asked questions on developer topics.

Symphony API References

Comprehensive reference to Symphony APIs.

• C++ API Reference
• Java API Reference
• .NET API Reference
• COM API Reference

WSDL Admin API References

Comprehensive reference to the Symphony WSDL Admin APIs.

• WSDL Admin API Reference
• RegistrationService Admin API Reference
• UsersService Admin API Reference

Web Services XML Schema Reference

The Web Services XML Schema Reference describes the elements and associated data types used in the WSDLs. Schema diagrams support the descriptions.

C++ Tutorials

SampleApp

• Your First Synchronous C++ Client
  
• Developing an Asynchronous Symphony C++ Client
  
• Your First Symphony C++ Service

SharingData

Java Tutorials

SampleApp

• Your First Synchronous Java Client
  
• Developing an Asynchronous Symphony Java Client
  
• Your First Symphony Java Service

SharingData

.NET Tutorials

SampleApp

• Your First Synchronous Symphony C# Client and Service
  
• Developing an Asynchronous Symphony C# Client
  

SharingData

Cross-language Tutorial

Create a client in C++, Java, or .NET that can communicate and submit workload to a service written in a different programming language.

Developing Cross-Language Clients and Services

WSDL Admin API Tutorial

Admin Web Service Client Tutorial

COM Tutorial

Developing a COM API Client

Eclipse Tutorial

Developing a Symphony Application with Eclipse

Data Affinity

Data Affinity reduces network traffic between hosts in the cluster and allows for more flexible scaling of data-intensive applications with improved performance. The Data Affinity add-on product contains the Data-aware Scheduling feature.

Data-aware Scheduling User Guide

Data-aware scheduling allows Platform Symphony to intelligently schedule application tasks and improve performance by taking into account data location when dispatching the tasks. By directing tasks to resources that already contain the required data, application runtimes can be significantly reduced. As well, this feature can help to meet the challenges of latency requirements for real time applications.

Multi-core Optimizer

The Multi-core Optimizer reduces capital and operating expenses by improving utilization of resources in mixed environments. It can also reduce I/O and memory contention in multi-core environments. Dynamic Service and Common Data Optimizer are two features of the multi-core optimizer add-on product.

Dynamic Service User Guide

The Dynamic Service feature allows dynamic control of service-to-slot mapping to optimize core, memory, and I/O use. This enables efficient running of workload made up of multi-threaded, single-threaded, I/O-intensive, and compute-intensive tasks from a single application and/or a mix of applications in a multi-core/heterogeneous environment.

The Common Data Optimizer feature optimizes the distribution of common data and common data updates so that only one copy of the data is sent to each multi-core host serving the same session. The single copy of common data is shared between all SIMs and SIs associated with the same session on the same host. Refer to the Cluster and Application Management Guide for details.

Calypso

Moses

Integrating Platform Symphony with MoSes User Guide

Cell BE

Developing Symphony Applications for Cell BE Tutorial

Connector for Excel

Connector for Excel User Guide