A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets

Cloud Service Brokers (CSBs) simplify complex resource allocation decisions, efficiently linking up the tenant dynamic requirements in to providers dynamic offers, where several objectives should ideally be considered. Nowadays, both demands and offers should be considered in dynamic environments, r...

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Detalles Bibliográficos
Autor principal: Chamorro, Lino
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Informáticas
cloud computing
cloud brokering
virtual machine placement
multi-objective optimization
evolutive algorithm
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/65438
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/EST/est-13.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-65438
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
cloud computing
cloud brokering
virtual machine placement
multi-objective optimization
evolutive algorithm
spellingShingle Ciencias Informáticas
cloud computing
cloud brokering
virtual machine placement
multi-objective optimization
evolutive algorithm
Chamorro, Lino
A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
topic_facet Ciencias Informáticas
cloud computing
cloud brokering
virtual machine placement
multi-objective optimization
evolutive algorithm
description Cloud Service Brokers (CSBs) simplify complex resource allocation decisions, efficiently linking up the tenant dynamic requirements in to providers dynamic offers, where several objectives should ideally be considered. Nowadays, both demands and offers should be considered in dynamic environments, representing particular challenges in cloud computing markets. This work proposes for the first time a pure multiobjective formulation of a broker-oriented Virtual Machine Placement (VMP) problem for dynamic environments, simultaneously optimizing following objective functions: (1) Total Infrastructure CPU (TICPU), (2) Total Infrastructure Memory (TIMEM) and (3) Total Infrastructure Price (TIP) subject to load balancing across providers. To solve the formulated multi-objective problem, a Multi-Objective Evolutionary Algorithm (MOEA) is proposed. When a change arises in the demands or in the offers, a set of non-dominated solutions is found (usually more than one solution), selection strategies were considered in order to automatically select a solution at each reconfiguration. The proposed MOEA and selection strategies, were compared in different scenarios composed by real data from providers in actual markets. Experimental results demonstrate the good quality of the obtained solutions for the proposed scenarios.
format Objeto de conferencia
Objeto de conferencia
author Chamorro, Lino
author_facet Chamorro, Lino
author_sort Chamorro, Lino
title A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
title_short A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
title_full A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
title_fullStr A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
title_full_unstemmed A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
title_sort multi-objective approach for multi-cloud infrastructure brokering in dynamic markets
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/65438
http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/EST/est-13.pdf
work_keys_str_mv AT chamorrolino amultiobjectiveapproachformulticloudinfrastructurebrokeringindynamicmarkets
AT chamorrolino multiobjectiveapproachformulticloudinfrastructurebrokeringindynamicmarkets
bdutipo_str Repositorios
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