Improved Throttling Load Balancing Algorithm With Respect To Computing Cost and Throughput For Cloud Based Requests
Nandkishore H Patel, Jasmine Jha · International journal of advance research and innovative ideas in education · 2016
Cloud computing is a developing computing paradigm that has inclined every other entity in the digital industry, it may be government sector or the personal sector. Taking into account the mounting significance of cloud, finding new ways to advance cloud services is an area of concern and research center. Usually clouds have powerful data centers to handle large number of users. Cloud is a platform providing dynamic pool of resources and virtualization. To properly manage the resources of the service contributor, load balancing is required for the jobs that are submitted to the service contributor. Load balancing is a tactic to share out workload across many virtual machines in a Server over the network to achieve optimal resource consumption, least data processing time, least average response time, and avoid overload. In the present work, a local throttling load balancing approach is proposed for distributing of incoming jobs uniformly among the servers or virtual machines. Further, the performance is analyzed using CloudAnalyst simulator and compared with existing Throttled algorithms.