Adaptive power management for server farm
In 2007 there were approximately 44 million servers worldwide consuming 0.5% of all electricity. The growing concerns for ever increasing energy cost burden for supporting growing business critical computing needs that outpaced the infrastructure growth, people started to shift the focus fr...
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sg-ntu-dr.10356-362582023-03-03T20:52:17Z Adaptive power management for server farm Zhuo, Ling. Ong Yew Soon School of Computer Engineering Centre for Multimedia and Network Technology Dusit Niyato DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems In 2007 there were approximately 44 million servers worldwide consuming 0.5% of all electricity. The growing concerns for ever increasing energy cost burden for supporting growing business critical computing needs that outpaced the infrastructure growth, people started to shift the focus from performance alone to power efficiency. Aside from the direct cost of electricity, the environmental impact of excessive power usage is a growing concern for governments, businesses, and organizations seeking to reduce the production of greenhouse gases that contribute to global warming. The objective for this project would be building an adaptive power management system to improve energy efficiency in the server farm. The system consist of server and client agent. The server agent manage the system and device power state of the client agent by means of power management policy. It has build in Wake-On-LAN (WOL) feature for remote wakeup of client agent. Client agent performs automatic discovery and connection to server and executes power management plan defined by administrator. Automatic device power state management was incorporated into client agent for achieving better power efficiency in the server farm. The author used C# programming language to implement the server and client agent. The system used remote procedure call for the communication between client and server. Finally, the MySQL database is used on the server and client agent to store data. Bachelor of Engineering (Computer Science) 2010-04-29T07:13:08Z 2010-04-29T07:13:08Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/36258 en Nanyang Technological University 89 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer systems organization::Performance of systems Zhuo, Ling. Adaptive power management for server farm |
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In 2007 there were approximately 44 million servers worldwide consuming 0.5% of all
electricity. The growing concerns for ever increasing energy cost burden for supporting
growing business critical computing needs that outpaced the infrastructure growth,
people started to shift the focus from performance alone to power efficiency. Aside
from the direct cost of electricity, the environmental impact of excessive power usage
is a growing concern for governments, businesses, and organizations seeking to
reduce the production of greenhouse gases that contribute to global warming.
The objective for this project would be building an adaptive power management
system to improve energy efficiency in the server farm. The system consist of server
and client agent. The server agent manage the system and device power state of the
client agent by means of power management policy. It has build in Wake-On-LAN
(WOL) feature for remote wakeup of client agent. Client agent performs automatic
discovery and connection to server and executes power management plan defined by
administrator. Automatic device power state management was incorporated into client
agent for achieving better power efficiency in the server farm.
The author used C# programming language to implement the server and client agent.
The system used remote procedure call for the communication between client and
server. Finally, the MySQL database is used on the server and client agent to store data. |
author2 |
Ong Yew Soon |
author_facet |
Ong Yew Soon Zhuo, Ling. |
format |
Final Year Project |
author |
Zhuo, Ling. |
author_sort |
Zhuo, Ling. |
title |
Adaptive power management for server farm |
title_short |
Adaptive power management for server farm |
title_full |
Adaptive power management for server farm |
title_fullStr |
Adaptive power management for server farm |
title_full_unstemmed |
Adaptive power management for server farm |
title_sort |
adaptive power management for server farm |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/36258 |
_version_ |
1759854404908875776 |