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Title:
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GENERATING ARTIFICIAL LOAD PATTERNS ON MULTI-PROCESSOR PLATFORMS |
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Author(s):
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Turkey Alsalkini, Greg Michaelson |
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ISBN:
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978-989-8533-25-8 |
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Editors:
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Hans Weghorn |
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Year:
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2014 |
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Edition:
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Single |
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Keywords:
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Load, Multi-processor, Multi-core, Evaluation, Balancing, Mobile Computing |
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Type:
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Full Paper |
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First Page:
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77 |
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Last Page:
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84 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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It is desirable to evaluate system performance under repeatable conditions. Typically, parallel systems are evaluated on dedicated platforms with little or no external impact on load. For dynamic systems, however, such as those that adapt to changing conditions, it is necessary to generate both predictable and realistic patterns of load. Furthermore, on shared non-dedicated systems, there is a need to compensate for the unpredictable loads introduced by other users. We have developed a novel load function which may be instantiated to generate predictable patterns of load across multiple processors. Our function can both generate idealised load patterns, and record and playback real load patterns. Furthermore, it can dynamically maintain a required load pattern in the presence of external real-time load changes, which makes it particularly suitable for experimentation on shared systems. We discuss the design of the load function and show that it can generate dynamic, adaptive and precise load, with minimal impact on system load. We then illustrate its use in the experimental evaluation of static/dynamic load balancing, load stealing and mobile skeletons. |
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