Title :
A novel approach towards improving performance of load balancing using Genetic Algorithm in cloud computing
Author :
Pilavare, Mayur S. ; Desai, Amish
Author_Institution :
Comput. Sci. & Eng. Dept., Parul Inst. Of Technol., Vadodara, India
Abstract :
As cloud computing is having connected via network with servers so there are so many issues are there to be solved. Load balancing is the main issue over the cloud to be resolved. Various techniques are used to improve the load balancing in cloud computing. Among them various techniques are outperformed by the Genetic Algorithm. The GA uses random selection of processors as the input to it and then processes. Previously it is taken as the processors and jobs are having same priority but that is not actual case. So to improve the efficiency of GA the input processors are given first to the priority algorithm that is Logarithmic Least Square Matrix that is proposed here. The problem of being idle and starvation is taken under observation to resolve them by the proposed algorithm.
Keywords :
cloud computing; genetic algorithms; least squares approximations; matrix algebra; resource allocation; software performance evaluation; GA; cloud computing; genetic algorithm; load balancing; logarithmic least square matrix; performance improvement; processor random selection; Algorithm design and analysis; Cloud computing; Conferences; Genetic algorithms; Load management; Program processors; Time factors; Cloud Computing; Genetic Algorithm; Load Balancing; Logarithmic Least Square Matrix;
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
DOI :
10.1109/ICIIECS.2015.7193124
