Managing Energy and Server Resources in Hosting Centers

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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:	553 - 37 self

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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