Web servers under overload

Author:

Schroeder Bianca1,Harchol-Balter Mor1

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA

Abstract

This article provides a detailed implementation study on the behavior of web serves that serve static requests where the load fluctuates over time (transient overload). Various external factors are considered, including WAN delays and losses and different client behavior models. We find that performance can be dramatically improved via a kernel-level modification to the web server to change the scheduling policy at the server from the standard FAIR (processor-sharing) scheduling to SRPT (shortest-remaining-processing-time) scheduling. We find that SRPT scheduling induces no penalties. In particular, throughput is not sacrificed and requests for long files experience only negligibly higher response times under SRPT than they did under the original FAIR scheduling.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference64 articles.

1. Web content adaptation to improve server overload behavior

2. Almesberger W. Linux network traffic control---implementation overview. Available at http://lrcwww.epfl.ch/linux-diffserv/.]] Almesberger W. Linux network traffic control---implementation overview. Available at http://lrcwww.epfl.ch/linux-diffserv/.]]

3. Workload characterization of the 1998 world cup Web site;Arlitt M.;IEEE Network,2000

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