Measuring the impact of alternative parallel process architecture on communication subsystem performance

Abstract

A communication subsystem consists of protocol functions and operating system mechanisms that support the implementation and execution of protocol stacks. To effectively parallelize a communication subsystem, careful consideration must be given to the process architecture used to structure multiple processing elements. A process architecture binds one or more processing elements with the protocol tasks and messages associated with protocol stacks in a communication subsystem. This paper outlines the two fundamental types of process architectures (task-based and messagebased) and describes performance experiments conducted on three representative examples of these two types of process architectures – Layer Parallelism, which is a task-based process architecture, and Message-Parallelism and Connectional Parallelism, which are message-based process architectures. These experiments measure the impact of the process architecture on connectionless and connection-oriented protocol stacks (based upon UDP and TCP) in a sharedmemory multi-processor operating system. The results from these experiments indicate that the choice of process architecture significantly affects communication subsystem performance.

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Cite this paper

@inproceedings{Schmidt1994MeasuringTI, title={Measuring the impact of alternative parallel process architecture on communication subsystem performance}, author={Douglas C. Schmidt and Tatsuya Suda}, booktitle={Protocols for High-Speed Networks}, year={1994} }