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Five resource allocation strategies for the cloud infrastructure

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Five resource allocation strategies for the cloud infrastructure

Content Provider	IEEE Xplore Digital Library
Author	Xue Wang Razo, M. Tacca, M. Ning So Fumagalli, A.
Copyright Year	2013
Description	Author affiliation: OpNeAR Lab., Univ. of Texas at Dallas, Richardson, TX, USA (Xue Wang; Razo, M.; Tacca, M.; Ning So; Fumagalli, A.)
Abstract	As both cloud applications and infrastructure technologies become more advanced, there is a general expectation that cloud based applications are going to experience improved end-to-end performance assurance while maintaining a competitive cost of service. In this paper, the authors continue to explore the potential performance and cost advantages, which may originate when applying joint optimization resource allocation strategies to the cloud infrastructure in the presence of dynamic application requests. Five resource allocation strategies are defined and compared to estimate relative performance gains in a number of resource (network bandwidth, data center CPU, memory and storage) distribution scenarios.
Sponsorship	IEEE ComSoc
Starting Page	13
Ending Page	18
File Size	309468
Page Count	6
File Format	PDF
ISBN	9781479904914
e-ISBN	9783901882524
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-16
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	IFIP
Subject Keyword	Availability Memory management Bandwidth Topology Resource management Joints Optimization
Content Type	Text
Resource Type	Article

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