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

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 provider’s revenue maximization. In such a cloud system, resources are offered via an auction mechanism as...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	MIKAVICA, B., KOSTIC-LJUBISAVLJEVIC, A.
Formato:	article
Lenguaje:	EN
Publicado:	Stefan cel Mare University of Suceava 2021
Materias:	decision making energy consumption security simulation virtual machining Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/e5d2118454834388bc087d5194370ab6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e5d2118454834388bc087d5194370ab6
record_format	dspace
spelling	oai:doaj.org-article:e5d2118454834388bc087d5194370ab62021-12-05T17:03:49ZA Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation1582-74451844-760010.4316/AECE.2021.04011https://doaj.org/article/e5d2118454834388bc087d5194370ab62021-11-01T00:00:00Zhttp://dx.doi.org/10.4316/AECE.2021.04011https://doaj.org/toc/1582-7445https://doaj.org/toc/1844-7600Auctions 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 provider’s 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 provider’s 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.MIKAVICA, B.KOSTIC-LJUBISAVLJEVIC, A.Stefan cel Mare University of Suceavaarticledecision makingenergy consumptionsecuritysimulationvirtual machiningElectrical engineering. Electronics. Nuclear engineeringTK1-9971Computer engineering. Computer hardwareTK7885-7895ENAdvances in Electrical and Computer Engineering, Vol 21, Iss 4, Pp 99-106 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	decision making energy consumption security simulation virtual machining Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer engineering. Computer hardware TK7885-7895
spellingShingle	decision making energy consumption security simulation virtual machining Electrical engineering. Electronics. Nuclear engineering TK1-9971 Computer engineering. Computer hardware TK7885-7895 MIKAVICA, B. KOSTIC-LJUBISAVLJEVIC, A. A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation
description	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 provider’s 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 provider’s 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.
format	article
author	MIKAVICA, B. KOSTIC-LJUBISAVLJEVIC, A.
author_facet	MIKAVICA, B. KOSTIC-LJUBISAVLJEVIC, A.
author_sort	MIKAVICA, B.
title	A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation
title_short	A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation
title_full	A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation
title_fullStr	A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation
title_full_unstemmed	A Security-Driven Approach for Energy-Aware Cloud Resource Pricing and Allocation
title_sort	security-driven approach for energy-aware cloud resource pricing and allocation
publisher	Stefan cel Mare University of Suceava
publishDate	2021
url	https://doaj.org/article/e5d2118454834388bc087d5194370ab6
work_keys_str_mv	AT mikavicab asecuritydrivenapproachforenergyawarecloudresourcepricingandallocation AT kosticljubisavljevica asecuritydrivenapproachforenergyawarecloudresourcepricingandallocation AT mikavicab securitydrivenapproachforenergyawarecloudresourcepricingandallocation AT kosticljubisavljevica securitydrivenapproachforenergyawarecloudresourcepricingandallocation
_version_	1718371271011467264

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

Ejemplares similares