Online feedback-based estimation of dynamic page service time

  • Authors:
  • Ashwini Kumar;Kaushik Veeraraghavan;Benjamin Wester;Kang Shin

  • Affiliations:
  • EECS Department, University of Michigan;EECS Department, University of Michigan;EECS Department, University of Michigan;EECS Department, University of Michigan

  • Venue:
  • ACM SIGBED Review
  • Year:
  • 2006

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Abstract

We present a framework for estimating the service time of a dynamic HTTP request by using the service times of past requests to the same URL. Our framework tags incoming requests with a timestamp. As the request is processed, server state relevant to the estimation mechanism, such as the number of threads servicing incoming requests, is stored with each request. When a request is handled, it is timestamped again, allowing us to calculate its service time. This service time is added to the history table and used in the computation of future estimates. The estimators we evaluated do not produce accurate predictions when server resources change, leaving room for further work in estimator design.