Open AccessResource Allocation Using Particle Swarm Optimization Algorithm in Cloud Computing
Author(s) -
T Ramasree
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37856
Subject(s) - cloudsim , cloud computing , computer science , particle swarm optimization , virtualization , task (project management) , distributed computing , resource allocation , virtual machine , swarm intelligence , resource (disambiguation) , utility computing , algorithm , mathematical optimization , cloud computing security , operating system , computer network , engineering , mathematics , systems engineering
Cloud computing is now widely used in organisations and bussiness firms because of its on-demand accessibility of framework assets, web innovation, and pay-as-you-go principle. Despite of numerous advantages of cloud computing, such as availability and accessibility, it also has few significant drawbacks. The most fundamental issue is the resource management, where Cloud computing provides IT assets such as memory, network, storage, and so on based on a virtualization concept and a pay-as-you-go model. Much research has gone into the administration of these assets. The suggested framework employs the particle swarm optimization algorithm method for assigning and performing the tasks of an application. The proposed algorithm will likely reduce task completion time, cost by utilizing the maximum resources. The proposed system is evaluated using the cloudsim toolkit. Keywords: Particle swarm optimization algorithm, Resource allocation, Cloud computing.