Title :
Improving the efficiency of genetic algorithm approach to virtual machine allocation
Author :
Joseph, Christina Terese ; Chandrasekaran, K. ; Cyriac, Robin
Author_Institution :
Dept. of CSE, Rajagiri Sch. of Eng. & Technol., Kochi, India
Abstract :
Virtual machine (VM) allocation is the process of allocating virtual machines to suitable hosts. This problem is an NP-Hard problem. It can be considered as a variation of the bin-packing problem. Among various solutions that attempt to solve this problem, several approaches that apply Genetic Algorithm have been proposed. This paper proposes a method to improve the efficiency of such approaches. Implementation of the proposed approach shows significant improvements in the runtime, memory used, energy efficiency and SLA violations.
Keywords :
bin packing; cloud computing; genetic algorithms; virtual machines; NP-hard problem; SLA violations; VM allocation; bin-packing problem; energy efficiency; genetic algorithm approach; virtual machine allocation; Biological cells; Encoding; Genetic algorithms; Resource management; Sociology; Statistics; Virtual machining; Cloud Computing; Genetic Algorithm; NSGA-II; Virtual Machine Allocation;
Conference_Titel :
Computer and Communication Technology (ICCCT), 2014 International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4799-6757-5
DOI :
10.1109/ICCCT.2014.7001477