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Reseach Article

How can Periodic Workload Cloud Pattern benefit from Periodically Peaking Utilization?

by Ravi (Ravinder) Prakash G., Kiran M.
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 5
Year of Publication: 2016
Authors: Ravi (Ravinder) Prakash G., Kiran M.
10.5120/ijais2016451505

Ravi (Ravinder) Prakash G., Kiran M. . How can Periodic Workload Cloud Pattern benefit from Periodically Peaking Utilization?. International Journal of Applied Information Systems. 10, 5 ( February 2016), 27-36. DOI=10.5120/ijais2016451505

@article{ 10.5120/ijais2016451505,
author = { Ravi (Ravinder) Prakash G., Kiran M. },
title = { How can Periodic Workload Cloud Pattern benefit from Periodically Peaking Utilization? },
journal = { International Journal of Applied Information Systems },
issue_date = { February 2016 },
volume = { 10 },
number = { 5 },
month = { February },
year = { 2016 },
issn = { 2249-0868 },
pages = { 27-36 },
numpages = {9},
url = { https://www.ijais.org/archives/volume10/number5/863-2016451505/ },
doi = { 10.5120/ijais2016451505 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:02:36.305529+05:30
%A Ravi (Ravinder) Prakash G.
%A Kiran M.
%T How can Periodic Workload Cloud Pattern benefit from Periodically Peaking Utilization?
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 10
%N 5
%P 27-36
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Measurability is a concept in periodically peaking that is based on two assumptions: (1) every cloud service provider is cautious, i.e., does not exclude any cloud consumer’s Periodic Workload resource pooling pattern choice from consideration, and (2) every cloud service provider respects the cloud consumer’s Periodic Workload resource pooling pattern preferences, i.e., deems one cloud consumer’s Periodic Workload resource pooling pattern choice to be infinitely more likely than another whenever it premises the cloud consumer to prefer the one to the other. In this paper we provide a new approach for measurability, by assuming that cloud service providers have asymmetric Periodic Workload resource pooling pattern about the cloud consumer’s Periodic Workload utilities. We show that, if the uncertainty of each cloud service provider about the cloud consumer’s Periodic Workload utilities vanishes gradually in some regular manner, then the Periodic Workload resource pooling pattern choices it can measurably make under common conjecture in measurability are all actually measureable in the original periodically peaking with no uncertainty about the cloud consumer’s utilities.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cloud service provider cloud consumer Periodic Workload asymmetric resource pooling pattern utilities periodically peaking behavioral measurably