resource allocation and job scheduling using genetic algorithm in cloud computing environment
K.Deva Prasad,V.Samatha,G.Sambasiva Rao
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:2 Year: 02 January,2015 Pages:375-384
Abstract
Cloud computing is an internet computing, which share resources like software, storage, data and service to computers and other devices on demand. Cloud computing is a new model for distributed computing and it is said to be the product for evolution of calculation. The technology of computing becomes widely used due to more and more researchers and applications on cloud computing. Cloud computing has a vast user group and it also deal with a large number of tasks. The main issue in cloud computation is to make a right decisions when allocating hardware resources to the tasks and also when dispatching the computing tasks to resource pool. This paper is based on the situation arises during resource allocation and job scheduling under cloud circumstance. To improve the performance some methods have been suggested with the help of dynamic resource allocation strategy based on the dynamic resource assignment and law of failure, on the basis of genetic algorithm for resource allocation, improved job scheduling and optimized genetic algorithm with dual fitness.
Kewords
Cloud Computing, Resource Allocation, Job Scheduling, Intrusion Detection, Genetic Algorithm.
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