Authors : Harvinder Singh and Anshu Bhasin
Abstract: Cloud resource allocation if done efficiently reduce execution cost and improve resource utilization. Resource management policies follow different criteria to discover most turntable resource to fulfill user expectations of minimum cost. Task resource negotiation process improved the probabilities for allocation based on demand by estimation of reasonable cost for current allocation. Such optimization process improves resource availability and facilitates the allocation done based on customer requirements. In this research paper, we present resource allocation problem which further delegates to task resource requirement, resource availability and negotiation process. We proposed efficient resource allocation policy using swarm heuristic approach on simulated cloud environment. The comparison of results with traditional algorithms extemporaneously suggests that proposed algorithm performs better and efficiently allocate resources in terms of QoS.
Harvinder Singh and Anshu Bhasin, 2020. A Novel Approach for Resource Allocation using Swarm on Clouds. Asian Journal of Information Technology, 19: 212-218.