A NOVEL APPROACH FOR DYNAMIC SELECTION OF LOAD BALANCING ALGORITHMS IN CLOUD COMPUTING

A NOVEL APPROACH FOR DYNAMIC SELECTION OF LOAD BALANCING ALGORITHMS IN CLOUD COMPUTING
Author(s):
Umang Thakkar, Indrjeet Rajput
Keywords:
Cloud Computing, Deployment Models, Service Models, Challenges, Load Balancing and its algorithms
Abstract
Cloud computing is the most recent advanced emerging technology that provides every kind of service to its users. It generally based on “pay per usage” terminology that provides Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) model that altogether form a cloud. However it also has some issues that is to be resolved. One of the major issue for cloud computing is Load Balancing. Load Balancing is the technique to divide the load among different available resources and equalize with virtual machines to achieve efficiency and increases throughput. This paper first of all shows the theoretical study of load balancing and then shows different types of load balancing algorithms used to balance load. Further it also demonstrates and compares algorithms that gives an idea to merge them and have a choice to select dynamically based on some parameters and situation in which they are better for enhancing efficiency.
Article Details
Unique Paper ID: 143367 Publication Volume & Issue: Volume 2, Issue 11 Page(s): 5 - 9
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