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Enhancing Selection of Load Balancing Algorithms Dynamically in Cloud Computing


Satvik Khara , Silver Oak College of Engineering and Technology; Umang Thakkar, Silver Oak College of Engineering and Technology;


Cloud Computing, Deployment Models, Service Models, Challenges, Load Balancing and its Algorithms


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 in load balancing. It gives locality for each size of task i.e. for small and large applicable differently for different algorithms suitable.

Other Details

Published in: Conference 10 : NCACSET 2017
Publication Date: 01/05/2017
Page(s): 78-82

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