| Document Date: 2010-06-22 18:23:21
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Company Ask.com / IBM / Cluster-Based Systems / Server Resources / Hitachi / HP Labs / AOL / Intel / / Event Reorganization / / Facility University of California / / IndustryTerm cluster-wide memory management / barely-alive power state offer promising energy savings / energy conservation / network interface processor / lower bandwidth per server / host processor / daily energy / Internet services / search services / stack algorithm / communication protocol / distributed stack algorithm / consolidation algorithm / embedded processor / energy savings / daily energy savings / energy / preliminary simulation infrastructure / search engine application / front-end device / energy consumption / Web content changes / re-sizing protocol / low-power embedded processor / stand-alone systems / energy efficiency / search query / Internet service / multi-core hardware / Web data changes / search engine / consolidation and server / / Organization Rutgers University / University of California / Santa Barbara / Department of Computer Science / / Person Alan Savage / Tao Yang / Ricardo Bianchini / Frederic T. Chong / / Position i7 CPU Memory Controller / representative / memory controller / controller / / ProvinceOrState California / / Technology low-power embedded processor / re-sizing protocol / search engine / consolidation algorithm / distributed stack algorithm / operating system / network interface processor / host processor / Load Balancing / DNS / 2.2 Stack Algorithm / Stack algorithm / communication protocol / data caching / caching / simulation / PRESS algorithm / embedded processor / / URL http /
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Energy Conservation in Datacenters through Cluster Memory Management and Barely-Alive Memory Servers Vlasia Anagnostopoulou? , Susmit Biswas? , Alan Savage? , Ricardo Bianchini† , Tao Yang? , Frederic T. Chong? ?