Performance Evaluation of Scalable Systems:
What we know and what we do not know
Department of Computer Science
Illinois Institute of Technology
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.
Xian-He Sun receives his Ph.D. degrees in computer science from