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KnightShift: Scaling the Energy Proportionality Wall ...
Abstract: Server energy proportionality has been improving over the past several years. Many components in a system, such as CPU, memory and disk, have been achieving good energy proportionality behavior. Using a wide range of server power data from the published SPEC power data we show that the overall system energy proportionality has reached 80%....
 Sierra: Practical Power-proportionality for Data Center ...
Keywords Data center, energy, power-proportionality 1. Introduction Server power consumption is a major problem for small and large data centers, since it adds substantially to an or-ganization’s power bills and carbon footprint. Barroso and Holzle have argued for¨ power proportionality: the power used should be proportional to the dynamic ...
The effect of server energy proportionality on data center ...
We develop a theoretical framework to characterize and predict the relationship between server energy proportionality and power oversubscription. We verify our framework through an extensive empirical study using publicly available SPECpower benchmark data for over 500 server models and publicly available Google cluster utilization data.
 Towards Energy-Proportional Computing for Enterprise-Class ...
ity of the servers to exhibit energy proportionality, i.e., pro-vide energy-e cient execution under all levels of utilization, which diminishes the overall energy e ciency of the data center. It is imperative that we realize e ective strategies to control the power consumption of the server and improve the energy e ciency of data centers....
 On the Energy Proportionality of Distributed NoSQL Data Stores
formance of a Cassandra cluster. We then use power and resource provi-sioning techniques to improve the energy proportionality of the cluster and study the feasibility of achieving an energy-proportional data store. Our results show that a hybrid (i.e., power and resource) provisioning technique provides the best power savings | as much as 55%....
Energy proportionality in near-threshold computing servers ...
Cloud Computing aims to efficiently tackle the increasing demand of computing resources, and its popularity has led to a dramatic increase in the number of computing servers and data centers worldwide. However, as effect of post-Dennard scaling, computing servers have become power-limited, and new system-level approaches must be used to improve their energy efficiency.
Blink: managing server clusters on intermittent power: ACM ...
Reducing the energy footprint of data centers continues to receive significant attention due to both its financial and environmental impact. There are numerous methods that limit the impact of both factors, such as expanding the use of renewable energy or participating in automated demand-response programs.
 Efforts Made Towards Achieving Energy Efficiency in Cloud ...
the need of achieving energy efficiency in data centers and survey various techniques used to achieve energy efficiency. 3. ENERGY EFFICIENT TECHNIQUES ... 2005 Managing Server Energy and Operational Costs in Hosting Centers ... traces collected over a 29-day period from a Google cluster containing over 12,500 PMs. Ganesh et al [14] proposed an ......
www.ijsdr.org/papers/IJSDR1603016.pdf
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Metrics, Models and Methodologies for Energy-Proportional ...
Adding to the problem is the inability of the servers to exhibit energy proportionality which diminishes the overall energy efficiency of the data center. Therefore in this dissertation, we investigate whether it is possible to achieve energy proportionality at the server- and cluster-level by efficient power and resource provisioning....
 The E ect of Server Energy Proportionality on Data Center ...
2.3. Server energy proportionality and metrics Energy proportional servers consume power proportional to their utilization. Power consumption of a server at di er-ent utilization levels can be represented as a power-utilization curve. An ideal energy proportional server will have a power-utilization curve as a straight line joining zero to peak ......
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