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Managing Energy and Server Resources in Hosting Centers (2001)

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by Jeffrey S. Chase , Darrell C. Anderson , Prachi N. Thakar , Amin M. Vahdat
Venue:In Proceedings of the 18th ACM Symposium on Operating System Principles (SOSP
Citations:571 - 37 self
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BibTeX

@INPROCEEDINGS{Chase01managingenergy,
    author = {Jeffrey S. Chase and Darrell C. Anderson and Prachi N. Thakar and Amin M. Vahdat},
    title = {Managing Energy and Server Resources in Hosting Centers},
    booktitle = {In Proceedings of the 18th ACM Symposium on Operating System Principles (SOSP},
    year = {2001},
    pages = {103--116}
}

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Abstract

Interact hosting centers serve multiple service sites from a common hardware base. This paper presents the design and implementation of an architecture for resource management in a hosting center op-erating system, with an emphasis on energy as a driving resource management issue for large server clusters. The goals are to provi-sion server resources for co-hosted services in a way that automati-cally adapts to offered load, improve the energy efficiency of server dusters by dynamically resizing the active server set, and respond to power supply disruptions or thermal events by degrading service in accordance with negotiated Service Level Agreements (SLAs). Our system is based on an economic approach to managing shared server resources, in which services "bid " for resources as a func-tion of delivered performance. The system continuously moni-tors load and plans resource allotments by estimating the value of their effects on service performance. A greedy resource allocation algorithm adjusts resource prices to balance supply and demand, allocating resources to their most efficient use. A reconfigurable server switching infrastructure directs request traffic to the servers assigned to each service. Experimental results from a prototype confirm that the system adapts to offered load and resource avail-ability, and can reduce server energy usage by 29 % or more for a typical Web workload. 1.

Keyphrases

server resource    hosting center    co-hosted service    resource avail-ability    power supply disruption    request traffic    greedy resource allocation algorithm    economic approach    resource price    moni-tors load    server duster    bid quot    reconfigurable server    energy usage    delivered performance    thermal event    service performance    resource management    prototype confirm    hosting center op-erating system    negotiated service level agreement    energy efficiency    common hardware base    typical web workload    large server cluster    provi-sion server resource    multiple service site    resource management issue    experimental result    efficient use    active server   

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