3. Various techniques of power management
4. Reason for selection of topic
5. Introduction to cluster level servers
6. Power management at Cluster-level servers
7. Issues pertaining to Power Management in
cluster level servers
8. Merits and Demerits of various techniques.
9. Suggested solutions
The number of Electrical and electronic devices running on electricity are increasing at a rapid rate. At the same time the amount of electricity utilized by these devices is also increasing at high rate due to increased complexity in applications which are to be executed, thus overall electric utilization is increasing. Further wastage and over utilization became a concern making power efficiency of a device even more essential. Thus amount of power needed to run an application or execute a command becomes one of the main constraint of the device's efficiency. This is the area which is to be focused because of growing operational costs on servers. In this report we will discuss in brief about various techniques used for power management and our topic of interest along with their merits and demerits. We recommend some of the solutions for existing problems.
Applications which are using the server-client model are increasing, thus making server usage more frequent. As a result number of servers across the world are increasing rapidly. As single server executes instructions for multiple clients, the amount of power consumed by server is more because the server's CPU frequency will be more and server has to be online for as long a...
... middle of paper ...
...ndemir, M., Vijaykrishnan, N., Sivasubramaniam, A., Irwin, M.J.
10.Sleepless in Seattle No Longer
Joshua Reich, Michel Goraczko, Aman Kansal, Jitendra Padhye
11.Power and Energy Management for Server Systems
Ricardo Bianchiniy and Ram Rajamonyz
12.Adaptive Performance and Power Management in Distributed Computing Systems
13.Critical Power Slope: understanding the runtime effects of frequency scaling
Akihiko Miyoshi Charles Lefurgy Eric Van Hensbergen Ram Rajamony Raj Rajkumar
14.Multi-mode Energy Management for Multi-tier Server Clusters
Tibor Horvath Kevin Skadron
15.Managing Server Energy and Operational Costs in Hosting Centers
Yiyu Chen Amitayu Das Wubi Qin Anand Sivasubramaniam Qian Wang Natarajan Gautam
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