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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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