Benchmark Framework for a Load Balancing Single System Image

IJCSNS International Journal of Computer Science and Network Security 01/2008; 8:320-333.


Recent developments in the load balancing single system image
(SSI) clusters enabled workstations to provide a cost effective
and high performance environment which has become
increasingly attractive to many users. However, in practice,
clusters of workstation failed to exploit their performance
potential advantages. This paper presents and propose a
framework for benchmarking and performance evaluation of a
load balancing SSI and shows how this framework used as a
methodology for a comprehensive examination of load balancing
SSI clusters performance and behavior.

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Available from: Bestoun S. Ahmed
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    ABSTRACT: Problem statement: With the growing popularity of clustering application combined with apparent usability, the single system image is in the limelight and actively studied as an alternativesolution for computational intensive applications as well as the platform for next evolutionary grid computing era. Approach: Existing researches in this field concentrated on various features of SingleSystem Images like file system and memory management. However, an important design consideration for this environment is load allocation and balancing that is usually handled by an automatic process migration daemon. Literature shows that the design concepts and factors that affect the load balancing feature in an SSI system are not clear. Result: This study will review some of the most populararchitecture and algorithms used in load balancing single system image. Various implementations from the past to present will be presented while focusing on the factors that affect the performance of such system. Conclusion: The study showed that although there are some successful open source systems, the wide range of implemented systems investigated that research activity should concentrate on thesystems that have already been proposed and proved effectiveness to achieve a high quality load balancing system.
    Full-text · Article · Sep 2008 · Journal of Computer Science