| Title | Simulation of Optimized Load Balancing and User Job Scheduling Using CloudSim |
|---|---|
| ID_Doc | 68274 |
| Authors | Velde, V; Rama, B |
| Title | Simulation of Optimized Load Balancing and User Job Scheduling Using CloudSim |
| Year | 2017 |
| Published | |
| Abstract | Right from the invention of World Wide Web (WWW) by Tim Berners Lee, Internet became a platform that has highest impact on people of all walks of life. In fact the world is shrinking and became a small village and virtual platform without which individuals and businesses cannot be assumed now. Of later based on Internet a new technology known as cloud computing came into existence. Cloud computing is a new model of computing which helps haring pool of resources in pay per use fashion. The services it bestows include software, platform and infrastructure. Cloud data centres play a vital role in providing storage service to users. The huge computing resources provided by cloud service providers are to be utilized optimally in order to provide sustainable services to users. However, it is a challenging problem to be addressed. Load balancing is one of the techniques employed to optimize resource allocation and ensure high availability and performance of cloud computing. In this project cloud partitioning approach is extended for effective load balancing and resource optimization. Besides the ideal refresh period which determines changes in the state of partitions of data centre for optimized resource utilization. CloudSim is the simulation framework used to build a prototype application for demonstrating the proof of concept. Our results showed that the proposed solution improves performance, throughput and utilization of cloud resources. |
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