Revisiting Correlations and Scheduling in Web Servers Soumyadip Ghosh School of ORIE Cornell University Ithaca, NY 14853, USA Mark S. Squillante Mathematical Sciences Department IBM Thomas J. Watson Research Center Yorktown Heights, NY 10598, USA mss@watson .ibm .com sdghosh@orie .cornell .edu Mathematical models play an important role in the design, analysis, control, optimization, management andplanning of Web server systems. To be most effective in each of these areas, such models must capture in sufficient detail the key characteristics of Web server workloads, the key characteristics of Web server scheduling policies for executing these workloads, and the impact of these workload and scheduling policy characteristics on Web server performance and related measures . Of particular interest in our study are very efficient mathematical methods that can be exploited online to support an increasingly important range of real-time applications (e .g., dynamic control of quality of service in Web servers to best satisfy service-level agreements), as well as in efficient interactive tools often used offline for many different purposes (e.g., what-ifanalysis and stochastic optimization for capacity planning). A significant body of research has investigated the workloads found in practice at a wide variety of Web server environments ; e.g .,
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Revisiting correlations and scheduling in Web servers
Ghosh, Soumyadip; Squillante, Mark S.
Follow ACM SIGMETRICS Performance Evaluation Review
, Volume 31 (2)
Association for Computing Machinery – Sep 1, 2003
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