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A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and AllocationMIKAVICA, B.   , KOSTIC-LJUBISAVLJEVIC, A. |
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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
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. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
