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Browsing by Subject "dynamic load balancing"

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    Item type:Article, Access status: Open Access ,
    Modified honey bee algorithm with random selection of virtual machines for dynamic load balancing
    (Wydawnictwa AGH, 2025) Sharmah, Daisy; Bora, Kanak Chandra; Khakhlari, Junumoni
    Cloud workloads can overwhelm load balancers, leading to inefficiencies and performance issues. To address these challenges, the honey bee load-balancing algorithm is highly effective in enhancing cloud-resource allocation. Inspired by the foraging behavior of honey bees, this algorithm offers a dynamic approach to resource distribution that adapts to changing workloads in real time. This paper delves into the key features and advantages of honey bee load-balancing, focusing on its dynamic resource allocation, overall response time, and data center processing time. Through a comparative study of existing methodologies, we proposed a modified honey bee load-balancing algorithm that incorporated the random selections of virtual machines. Utilizing the CloudAnalyst tool for simulation, we compares traditional and proposed honey bee load-balancing algorithms to evaluate overall response times and data center processing times using user bases, data centers, virtual machine load balancers, time, service broker policies, and regions. The proposed algorithm demonstrates superior performance in these parameters as compared to the traditional approach when using the same metric values for both algorithms.