Modifying your client for performance

Learn about modifying your client for performance.

Improving throughput in high-latency networks
Aggregating messages prior to putting them on the wire can improve throughput in high-latency networks such as WANs. This technique enables a IBM® Spectrum Symphony client to maximize utilization of the network connection between itself and the session manager. This feature is supported on all supported operating systems.
Data compression
Data compression enables a client to improve data throughput in the network by reducing the size of data it sends toIBM Spectrum Symphony. The data size threshold can be specified by the application at runtime. This feature is supported on all supported operating systems.
Direct data transfer
Direct data transfer enables a IBM Spectrum Symphony client to maximize utilization of the network bandwidth between itself and the service. This feature essentially eliminates the session manager from the data flow allowing applications to optimize the use of different network topologies. This feature is supported on operating systems supported by IBM Spectrum Symphony.
Common data: using data in your application
Data issues is a common problem for financial applications: regardless of how much data can be shared and preloaded in the service instances, you still must pass some task-specific data between the IBM Spectrum Symphony client and service through the IBM Spectrum Symphony task message. In many financial applications, a market data set is shared by more than one task. If you send this market data set through task-specific input messages, the same data is sent more than once across the network. To reduce network traffic, maximize the shared (common) data and minimize the task-specific data.

Parent topic: Developing clients