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June 12, 2026Discover ComputingOpen Access

Hybrid metaheuristic optimization for energy efficient task scheduling in cloud computing environments

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Authors

BSBiswa Mohan SahooASAbadhan Saumya SabyasachiMSMadana Srinivas

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Overview

Randomized trial demonstrates improved task scheduling efficiency in cloud computing, indicating enhanced resource utilization.

Key Points

  • This paper aims to optimize task scheduling in cloud computing environments using a hybrid approach called GSWOA-H.
  • Developed the GSWOA-H method by combining Golden Search Optimization with the Whale Optimization Algorithm (WOA).
  • Conducted performance evaluations comparing GSWOA-H with existing algorithms like GA, GSO, WOA, and QBCSSA.
  • Analyzed convergence speed and resource utilization efficiency in task scheduling experiments.
  • GSWOA-H improved resource utilization by 42.71%, 34.64%, 18.55%, and 12.65% compared to GA, GSO, WOA, and QBCSSA, respectively.
  • Reduced make-span by 14.17%, 9.95%, 4.39%, and 2.74% compared to GA, GSO, WOA, and QBCSSA, respectively.

Cite This Study

Sahoo et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba1ca8101cf8926f01142https://doi.org/10.1007/s10791-026-10201-1
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