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Content Provider | IEEE Xplore Digital Library |
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Author | Cheng-Jen Tang Miau-Ru Dai |
Copyright Year | 2011 |
Description | Author affiliation: The Graduate Institute of Communication Engineering, Tatung University, Taipei, Taiwan (Cheng-Jen Tang; Miau-Ru Dai) |
Abstract | Cloud computing refers to clusters of distributed computers that provide applications as services and on-demand resources over Internet. Theoretically, such consolidated resource enhances the energy efficiency of both clients and servers. However, this paper presents that cloud computing is a panacea for enhancing energy efficiency only under some certain conditions. The computing resources of cloud computing are located at remote machines. With current technologies, a quick way to construct cloud computing architecture is to use web pages as service interface via HTTP protocol. Pioneers in exploring cloud computing, such as Google, AmazonWeb, Microsoft Azure, Yahoo, and IBM all take this approach. Through appropriated designs, sorting, one of the most frequently used algorithms, required by a web page is able to be executed and succeed by either clients or servers. This paper constructs and validates a generalized model that suggests an energy-efficient sorting process for a web page. |
Starting Page | 643 |
Ending Page | 646 |
File Size | 116766 |
Page Count | 4 |
File Format | |
ISBN | 9781612848433 |
ISSN | 21591423 |
e-ISBN | 9781612848426 |
DOI | 10.1109/ISCE.2011.5973910 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-14 |
Publisher Place | Singapore |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Servers Generators Cloud computing Sorting Phase frequency detector Power generation Mathematical model |
Content Type | Text |
Resource Type | Article |
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