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September 10, 2025SensorsOpen Access

An Effective QoS-Aware Hybrid Optimization Approach for Workflow Scheduling in Cloud Computing

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Authors

MCMin CuiYWYipeng Wang

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Overview

This algorithm minimizes completion time and execution costs in cloud computing workflows, suggesting improved scheduling strategies.

Key Points

  • HLWOA significantly reduces task completion time and execution cost compared to traditional methods.
  • The algorithm employs a hybrid approach, integrating HEFT and a Lévy flight-enhanced Whale Optimization Algorithm.
  • Evaluation on real-world workflows shows HLWOA consistently outperforms HEFT, HEPGA, and standard WOA in both makespan and cost.
  • Findings indicate that QoS-aware scheduling is vital for optimizing resource allocation in cloud computing environments.

Cite This Study

Cui et al. (2025) studied this question.

synapsesocial.com/papers/68c19fa854b1d3bfb60db817https://doi.org/10.3390/s25154705
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