Dynamic resource allocation of shared data centers supporting multiclass requests

Sai Rajesh Mahabhashyam, Natarajan Gautam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In this paper, we consider a shared data center for web server) with requests from multiple companies: each company with two classes of requests: 1) streaming requests and 2) elastic requests. The processing capacity of the web server is shared by the companies' requests of the two classes. An analytical model is developed and matrix geometric method is used to derive the system performance measures. A cost model is developed to obtain a request admission control policy that utilizes the web server's processing capacity efficiently. The objective is to maximize the revenue of the data center, which is a function of the multiclass request characteristics and the quality of service measures. It is well known that the request characteristics like arrival rates vary dynamically over time. As a consequence, autonomic computing is the only practical way for determining on the fly how to partition the web server processing capacity over time among the companies.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Autonomic Computing
Pages222-229
Number of pages8
StatePublished - 2004
Externally publishedYes
EventProceedings - International Conference on Autonomic Computing - New York, NY, United States
Duration: May 17 2004May 18 2004

Publication series

NameProceedings - International Conference on Autonomic Computing

Conference

ConferenceProceedings - International Conference on Autonomic Computing
Country/TerritoryUnited States
CityNew York, NY
Period5/17/045/18/04

ASJC Scopus subject areas

  • Engineering(all)

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