Finding candidate spots for replica servers based on demand fluctuation

Masato Asahara, Akio Shimada, Hiroshi Yamada, Kenji Kono

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

2 Citations (Scopus)

Abstract

Many service providers distribute various kinds of content over the Internet. They often use replica servers to provide stable service. To position them appropriately, service providers must predict the demands for their services and provide computing capacity sufficient for servicing the demands. Unfortunately, predicting demands is difficult because demand for a service usually fluctuates. Our research group is developing ExaPeer, an infrastructure that apportions computing capacity to services running on hundreds or thousands of trusted machines all over the Internet. In this paper, we describe ExaPeer's approach to dynamically selecting candidate spots for replica servers. The runtime system in ExaPeer detects fluctuations in demand and then dynamically selects candidate spots on which replica servers should be placed to best meet the demand. Experimental results demonstrate that the candidate spots selected by ExaPeer work better than manually selected ones even if the scale of demand changes rapidly.

Original languageEnglish
Title of host publicationThe 13th International Conference on Parallel and Distributed Systems, ICPADS
DOIs
Publication statusPublished - 2007 Dec 1
Event13th International Conference on Parallel and Distributed Systems, ICPADS - Hsinchu, Taiwan, Province of China
Duration: 2007 Dec 52007 Dec 7

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume1
ISSN (Print)1521-9097

Other

Other13th International Conference on Parallel and Distributed Systems, ICPADS
CountryTaiwan, Province of China
CityHsinchu
Period07/12/507/12/7

ASJC Scopus subject areas

  • Hardware and Architecture

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    Asahara, M., Shimada, A., Yamada, H., & Kono, K. (2007). Finding candidate spots for replica servers based on demand fluctuation. In The 13th International Conference on Parallel and Distributed Systems, ICPADS [4447737] (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; Vol. 1). https://doi.org/10.1109/ICPADS.2007.4447737