Performance Evaluation of Scalable
Systems:
What
we know and what we do not know
Xian-He
Sun
Department
of Computer Science
Illinois
Institute of Technology
http://www.cs.iit.edu/~sun/
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Although
rapid advances in grid computing are bringing true scalable systems within
grasp, developing scalable software seems to be more elusive now than that of
ten years ago. The most significant question of computing is the same today as
it has been for many decades: How can software application take advantage of
hardware computing power. In this talk, we will study the issues of performance
evaluation, measurement, and optimization of scalable system. Existing metrics
and methods will be summarized, and new challenges will be discussed. Our
recent results in solving two such new challenges will be introduced. They are
the memory-LogP model for performance evaluation of
advanced hierarchical memory system and the GHS system for performance
measurement and prediction in an enterprise grid-computing environment.
Experimental results will be presented to illustrate what we know and what we
do not know in the area of scalable performance and what are the implications
of current findings.
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Professor
Xian-He Sun receives his Ph.D. degrees in computer science from