Abstract | ||
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Large-scale data centers consume megawatts in power and cost hundreds of millions of dollars to equip. Reducing the energy and cost footprint of servers can therefore have substantial impact. Web, Grid, and cloud servers in particular can be hard to optimize, since they are expected to operate under a wide range of workloads. For our upcoming data center, we set out to significantly improve its power efficiency, cost, reliability, serviceability, and environmental footprint. To this end, we redesigned many dimensions of the data center and servers in conjunction. This paper focuses on our new server design, combining aspects of power, motherboard, thermal, and mechanical design. We calculate and confirm experimentally that our custom-designed servers can reduce power consumption across the entire load spectrum while at the same time lower acquisition and maintenance costs. Importantly, our design does not reduce the servers' performance or portability, which would otherwise limit its applicability. |
Year | DOI | Venue |
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2011 | 10.1145/2063384.2063420 | High Performance Computing, Networking, Storage and Analysis |
Keywords | Field | DocType |
cost hundred,cost footprint,power efficiency,high-efficiency server design,data center,maintenance cost,upcoming data center,power consumption,large-scale data center,mechanical design,new server design,internet,mechanism design,spectrum,grid computing,software reliability,cloud computing | Electrical efficiency,Motherboard,Server farm,Grid computing,Computer science,Parallel computing,Server,Software portability,Data center,Distributed computing,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-0771-0 | 9 | 1.03 |
References | Authors | |
12 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eitan Frachtenberg | 1 | 1060 | 85.08 |
Ali Heydari | 2 | 9 | 1.03 |
Harry Li | 3 | 9 | 1.03 |
Amir Michael | 4 | 9 | 1.03 |
Jacob Na | 5 | 9 | 1.03 |
Avery Nisbet | 6 | 9 | 1.03 |
Pierluigi Sarti | 7 | 9 | 1.03 |