Energy‐efficient sender‐initiated threshold‐based load balancing ( e‐STLB ) in cloud computing environment

Parvaz Ahmad Malla, Sophiya Sheikh, Mohammad Shahid, Sheikh Umar Mushtaq · Concurrency and Computation Practice and Experience · 2023

Summary Cloud computing has transformed service delivery through its pay‐per‐use model, supporting diverse users with multiple heterogeneous Virtual Machines (VMs). However, energy consumption has emerged as a critical concern, necessitating cloud resource optimization for environment‐friendly practices. This research paper presents an innovative energy‐efficient threshold‐based sender‐initiated load‐balancing strategy (e‐STLB) to address this concern. The approach employs threshold values to trigger task migration between VMs, ensuring optimal performance while maximizing energy efficiency. The proposed strategy significantly reduces Makespan and increases Resource Utilization in an energy‐conscious manner. Experimental evaluations using Cloudsim 3.0 demonstrate that the e‐STLB outperforms other state‐of‐the‐art solutions, offering a compelling approach to sustainable cloud computing.

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