WHBO: war honey badger optimisation enabled load balancing in IoT-cloud-fog computing
by M.N. Babitha; M. Siddappa
International Journal of Grid and Utility Computing (IJGUC), Vol. 15, No. 5, 2024

Abstract: Load balancing is a chief aspect in fog and cloud computing, which avoids a condition wherein a few nodes become overloaded when others are inactive or have some work to perform. This paper introduces a novel technique, termed War Honey Badger Optimisation (WHBO) for load balancing. Here, tasks are allocated to Virtual Machine (VM) in a round-robin manner for each region. A workload is evaluated based on memory, CPU, bandwidth and migration time. The resources are predicted using Deep Q-network (DQN). If a workload is greater than the threshold value, then load balancing is performed. A load balancing is done utilising the proposed WHBO, which is presented by incorporating War Strategy Optimisation (WSO) with the Honey Badger Algorithm (HBA). Moreover, devised WHBO achieved better outcomes in terms of minimal cost, load and execution of 76.978, 0.385 and 0.269, respectively.

Online publication date: Thu, 05-Sep-2024

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