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A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and AllocationMIKAVICA, B. , KOSTIC-LJUBISAVLJEVIC, A.
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decision making, energy consumption, security, simulation, virtual machining
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
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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 Deadline-Aware Task Offloading and Resource Allocation in a Secure Fog-Cloud Environment, Mikavica, Branka, Kostic-Ljubisavljevic, Aleksandra, Perakovic, Dragan, Cvitic, Ivan, Mobile Networks and Applications, ISSN 1383-469X, 2023.
Digital Object Identifier: 10.1007/s11036-023-02120-y [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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