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The size of cloud is scaling up so it is very difficult for cloud computing service providers to handle massive requests. In cloud computing, load balancing is an open key challenge which distributes dynamic workload among multiple nodes to ensure that no single resource is either overburdened or under used (idle). Therefore, several load balancing algorithms have been designed, which reduces the response time of different tasks and also improve the resource utilization.A "Dynamic Threshold based load balancing algorithm" has been implemented in this book. This algorithm distributes the load…mehr

Produktbeschreibung
The size of cloud is scaling up so it is very difficult for cloud computing service providers to handle massive requests. In cloud computing, load balancing is an open key challenge which distributes dynamic workload among multiple nodes to ensure that no single resource is either overburdened or under used (idle). Therefore, several load balancing algorithms have been designed, which reduces the response time of different tasks and also improve the resource utilization.A "Dynamic Threshold based load balancing algorithm" has been implemented in this book. This algorithm distributes the load among different virtual machine and also improves the response time. The proposed algorithm improves the precision of load prediction. Cloud Analyst tool is used to simulate this work and then compared with AMLB (Active Monitoring) and Throttled load balancing algorithms. Results demonstrate that performance of proposed algorithm-SJU is better than AMLB and Throttled load balancing algorithm in terms of load and response time.
Autorenporträt
Ms. Shalini Joshi has completed her M.Tech and MCA from Mody University of Science and Technology. She has published many papers in reputed Journals.Her Area of Interest includes Cloud Computing, Software Engineering and Database Management Systems. Dr. Uma Kumari is currently working at Mody University of Science and Technology,Lakshmangarh, India