KEYWORDS: Performance modeling, Data modeling, Stochastic processes, Mathematics, Data analysis, Systems modeling, Mathematical modeling, Statistical analysis, Picosecond phenomena, Analytical research
This paper demonstrates the existence of considerable dependencies between Web server arrival and service times, as well as strong dependencies within the arrival process. We derive a heavy-traffic stochastic-process limit for Web server performance, under various control policies, that captures these forms of correlations. This includes an analysis of control policies that provide near-optimal expected response times while also maintaining good response time variance properties.
The optimal control of various performance-based measures in high-volume commercial web sites requires a fundamental understanding of the interactions between the diverse set of Internet services that support customer needs and the different importance levels of these services to both the customer and the e-commerce merchant. We present here a study of the control policy for each server in a multiclass queueing network that maximizes a particular function of profit, or minimizes a particular function of cost, across the different classes of Internet services.
Conference Committee Involvement (2)
Performance, Quality of Service, and Control of Next-Generation Communication Networks II
26 October 2004 | Philadelphia, Pennsylvania, United States
Conference on Performance and Control of Next Generation Communication Networks
9 September 2003 | Orlando, Florida, United States
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