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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2021 - 11

A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation

MIKAVICA, B. See more information about MIKAVICA, B. on SCOPUS See more information about MIKAVICA, B. on IEEExplore See more information about MIKAVICA, B. on Web of Science, KOSTIC-LJUBISAVLJEVIC, A. See more information about KOSTIC-LJUBISAVLJEVIC, A. on SCOPUS See more information about KOSTIC-LJUBISAVLJEVIC, A. on SCOPUS See more information about KOSTIC-LJUBISAVLJEVIC, A. on Web of Science
 
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Download PDF pdficon (2,003 KB) | Citation | Downloads: 799 | Views: 1,845

Author keywords
decision making, energy consumption, security, simulation, virtual machining

References keywords
cloud(29), comput(13), energy(12), computing(10), security(9), resource(9), data(8), auction(8), virtual(6), centers(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-11-30
Volume 21, Issue 4, Year 2021, On page(s): 99 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.04011
Web of Science Accession Number: 000725107100011
SCOPUS ID: 85122259459

Abstract
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Auctions are often recommended as effective cloud resource pricing and allocation mechanism. If adequately set, auctions provide incentives for cloud users truthful bidding and support cloud providers revenue maximization. In such a cloud system, resources are offered via an auction mechanism as Virtual Machines (VMs). Due to the virtualization of the cloud system, VMs security becomes a critical factor. However, security requirements are often in contrast with performance requirements since the operation of security mechanism inevitably consumes a certain amount of Central Processing Time (CPU) and memory. Thus, delays and energy consumption increase. In this paper, we propose a novel simulation model based on a truthful auction mechanism to address revenues, security, and energy consumption in a cloud system. The VMs security modeling is introduced to assess the security level of VMs. A Vickrey-Clarke-Groves (VCG) driven algorithm is established for winner determination. The proposed simulation model is used to observe cloud providers revenues, lost revenues, cloud users' task rejection rate and energy consumption depending on the offered security level. This model supports decision making in terms of investments in security and selection of security scenario that maximizes revenues and minimizes task rejection rate and energy consumption.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 4,592 TCR
SCOPUS® Citations for all references: 6,230 TCR

Web of Science® Average Citations per reference: 148 ACR
SCOPUS® Average Citations per reference: 201 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-12-02 23:03 in 217 seconds.




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