DocumentCode :
3460328
Title :
Using the Multiple Knapsack Problem to Model the Problem of Virtual Machine Allocation in Cloud Computing
Author :
Amarante, Silvio Roberto Martins ; Maciel Roberto, Filipe ; Ribeiro Cardoso, Andre ; Celestino, J.
Author_Institution :
Comput. Network & Security Lab. (LARCES), State Univ. of Ceara (UECE), Fortaleza, Brazil
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
476
Lastpage :
483
Abstract :
Cloud computing is a new computing paradigm which has the provision of computational resources like services accessed over the internet. In this paradigm, computing resources are pooled and allocated according to customer demand. The growing demand for this new type of service has led to increased use of energy on the part of service providers, due to the need to maintain the computing infrastructure, becoming one of the leading providers of cost factors. In this context, solutions have been trying whatever possible to meet the customers requirements for resources consuming minimum power required. Thus, this work consists of an improvement, using the modeling of the multiple knapsack problem, with a mechanism for allocating resources called Lago Allocator [5], which addresses the issue of energy saving. Furthermore, a comparative analysis of the proposed solution with the original mechanism to evaluate the performance modification is made.
Keywords :
cloud computing; knapsack problems; power aware computing; virtual machines; Internet; cloud computing; computational resources; computing paradigm; customer demand; energy saving; lago allocator; multiple knapsack problem; performance modification; service providers; virtual machine allocation; Cloud computing; Energy consumption; Equations; Mathematical model; Resource management; Servers; Virtual machining; cloud computing; multiple knapsack problem; resource allocation; virtualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/CSE.2013.77
Filename :
6755257
Link To Document :
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