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Viewing 1-6 of 6 total results
KnightShift: Achieving Energy Proportionality Through ...
In particular, the energy proportionality of even a highly proportional server suffers significantly at non-zero but low utilizations. In the second part of this talk we tackle the lack of energy proportionality at low utilization by using server-level heterogeneity to provide an active low power mode.
 An Experimental Evaluation of Datacenter Workloads On Low ...
on the approach of achieving energy e ciency. The rst category is to seek energy proportionality with non-energy-proportional servers [53, 32, 31, 27, 35]. The second cate-gory is to build more energy-e cient architecture based on low-power CPU [38, 41, 49, 33, 43, 46, 29]. Improving energy-proportionality allows power draw to...
Managing server clusters on intermittent power [PeerJ]
First, several studies have shown that turning a server off when not in use is the most effective method for saving energy in server clusters (Chase et al., 2001; Pinheiro et al., 2001). Second, blinking extends the PowerNap ( Meisner, Gold & Wenisch, 2009 ) concept, which advocates frequent transitions to a low-power sleep state, as an ...
Reducing Cluster Energy Consumption through Workload ...
Energy consumption is a major and costly problem in data centers. For many workloads, a large fraction of energy goes to powering idle machines that are not doing any useful work. There are two causes of this inefficiency: low server utilization and a lack of power proportionality. We focus on addressing this problem for two workloads: (1) a traditional, front-end web server workload and (2 ......
Reducing Cluster Energy Consumption through Workload ...
Energy consumption is a major and costly problem in data centers. For many workloads, a large fraction of energy goes to powering idle machines that are not doing any useful work. There are two causes of this inefficiency: low server utilization and a lack of power proportionality.
Warehouse-Scale Computing: The Machinery That Runs the ...
WSCs are built of low-end or mid-range server-class computers connected in racks of 40 to 80 units by a first-level networking switch; each switch connects in turn to a cluster-level network fabric that ties together all of the racks. The clusters, which tend to be composed of several thousand servers, constitute the primary units of computing ...
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