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International Journal of
Advanced Engineering and Technology
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VOL. 6, ISSUE 1 (2022)
A honey bee foraging algorithm based load balancing strategy in cloud computing
Authors
Brototi Mondal
Abstract
Since real-time resource provisioning is a component of cloud computing, it deals with enormous amounts of data transit to and from the server. Due to flexibility, the majority of firms are shifting their operations to the cloud. In order to meet the rising demand for their services from clients, service providers are constructing additional data centers. Virtual machines (VMs) are one of the essential elements of virtualization, and the bulk of the resources are virtualized. The task allocation system in the VM may cause the VM to be underloaded or overloaded as a result of user tasks transmitted to the cloud, which would result in system failure or cause user operations to be delayed. There are a great number of services available and selecting or combining them is an NP-hard optimization problem. The complexity of system composition is NP-hard, hence numerous metaheuristic strategies have been employed up to this point. Based on the foraging habit of honey bees, this paper proposes a novel method for effective load balancing and foraging activity to manage load through VMs. A load balancing algorithm's effectiveness may be evaluated using response time, data centre processing time, and other variables. A method for balancing load that draws inspiration from honey bee foraging activity is proposed, and it has been shown to enhance reaction time. Experimental research utilizing the Cloud Analyst simulator shows that the suggested method significantly surpasses the current load balancing strategies in terms of reaction time when applied to the standard data sets.
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Pages:38-46
How to cite this article:
Brototi Mondal "A honey bee foraging algorithm based load balancing strategy in cloud computing". International Journal of Advanced Engineering and Technology, Vol 6, Issue 1, 2022, Pages 38-46
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