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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lu Liu Masfary, O. Jianxin Li |
| Copyright Year | 2011 |
| Description | Author affiliation: Distributed and Intelligent Systems Research Group, School of Computing and Mathematics, University of Derby, UK (Lu Liu; Masfary, O.) || School of Computing, Beihang University, Beijing, China (Jianxin Li) |
| Abstract | Service oriented computing (SOC) and cloud computing paradigm has emerged as an approach which enables ubiquitous, on-demand network accesses to a shared pool of flexibly reconfigurable computing resources. The increasing trends of electrical consumption within data centres are a growing concern for business owners as they are quickly becoming a large fraction of the total cost of ownership. There are several challenges and opportunities within a data centre to lower the electrical costs and improve the energy efficiency. Since servers and air conditioners represent the top users of electrical power in the data centre, this research sets out to explore methods from each subsystem of the data centre as part of an overall energy efficient solution. In this paper, we investigate the current trends of Green IT awareness and how the deployment of IT equipment and Site Infrastructure equipment optimization techniques which can offer a solution to a global issue by reducing carbon emissions. |
| Starting Page | 79 |
| Ending Page | 84 |
| File Size | 733638 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467304115 |
| e-ISBN | 9781467304122 |
| e-ISBN | 9781467304108 |
| DOI | 10.1109/SOSE.2011.6139095 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power demand Virtual machine monitors Service Oriented Computing Hardware Software Workstations Servers Virtualization Green IT Monitoring |
| Content Type | Text |
| Resource Type | Article |
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