DocumentCode
707230
Title
Non-homogeneous cloud computing environment by statistical analysis
Author
Priya, V. ; Kumar, P. Dinesh ; Sreeram, Y. Chaitanya ; Naeem, Shaik Abdul
Author_Institution
VIT Univ., Vellore, India
fYear
2015
fDate
11-13 March 2015
Firstpage
60
Lastpage
63
Abstract
Cloud computing environment is modernizing the entire IT industries, good-performance computing (GPC), private data storage and managing by providing high privacy. Computing power will be provided to the cloud as a valuable aspect, similar as power resources. Service providers like Amazon Google etc would be preserving, revising and overseeing the resources. For little businesses or the businesses which have financial issues or which don´t have particular abilities to handle the radical changes in computing technology. Use of cloud for GPC could mostly minimize the charge of possession by dismissing the requisites to maintain full-size parallel machines and its cooling system and its power sources. From the cost-effectiveness point of view, there are interactions of process in conditions of stipulation of resources for an objective job can be parallelized. We are going to use statistical analysis, that to achieve better performance in a different cloud infrastructures, and also to formulate the node´s least response time must not be more than three times that of the node´s highest response time.
Keywords
cloud computing; data privacy; parallel machines; power aware computing; statistical analysis; storage management; GPC; IT industries; cloud infrastructures; cooling system; good-performance computing; node highest response time; node least response time; nonhomogeneous cloud computing environment; parallel machines; power sources; private data storage; statistical analysis; Cloud computing; Computers; Presses; Servers; Time factors; Virtual machining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location
New Delhi
Print_ISBN
978-9-3805-4415-1
Type
conf
Filename
7100220
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