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• W3109173871 abstract "Load balancing of tasks on virtual machines based on Nature-inspired algorithm has turned into a field of greater research interest. Algorithm for load balancing based on honey bee behavior (LBA_HB) was presented to decrease the processing time and overall response time. However, it considers only the number of tasks handled by VMs for balancing the load, which might not be well enough effective. This research proposes an Improved Algorithm Based on Honey Bee behavior (ILBA_HB) by considering the various QoS parameters including service response time, reliability, cost, and estimate the power consumption of VMs on a host to enhance load balancing. As the situation remains uncertain, fuzzy logic can be applied at various levels of input to achieve the desired tradeoff between power consumption and QoS. The main goal of the proposed study calculates the power consumption of VMs and considers the important QoS factors to choose the appropriate host and virtual machine to receive the task. The ILBA_HB algorithm has been simulated with the use of CloudSim. The performance of ILBA_HB algorithm is compared with that of LBA_HB in terms of makespan, response time, degree of imbalance." @default.
• W3109173871 created "2020-12-07" @default.
• W3109173871 creator A5048191081 @default.
• W3109173871 creator A5069130280 @default.
• W3109173871 date "2020-09-09" @default.
• W3109173871 modified "2023-10-16" @default.
• W3109173871 title "Toward Efficient Cloud Services: An Energy-Aware Hybrid Load Balancing Approach" @default.
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• W3109173871 doi "https://doi.org/10.1109/iccit-144147971.2020.9213777" @default.
• W3109173871 hasPublicationYear "2020" @default.
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