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Research Area: Cloud Computing
In cloud there is different set of servers that provide utility to users based on demand. Cloud has many powerful servers to allocate huge request of users. Load balancing is a technique to distribute load on many VMs on Server to achieve Resource utilization, lower Response time and avoid burden. In this paper Particle Swarm Optimizations is presented for Resource Utilization. A PSO has been presented to find the better solution for the problem of Allocation Resources and load balancing in Cloud computing. This work was experimented on Xen Server and result of the Proposed Algorithm was really very encouraging. Significantly the result of PSO is compared with Compare and Balance Algorithm.
Keywords:
Cloud Computing
Load balancing
Particle Swarm Optimization
Xen Server
Author(s) Name: Akash Dave; Bhargesh Patel; Gopi Bhatt; Yash Vora
Journal name:
Conferrence name: 2017 Nirma University International Conference on Engineering (NUiCONE)
Publisher name: IEEE
DOI: 10.1109/NUICONE.2017.8325618
Volume Information:
