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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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An innovative approach for QoS-aware web service composition using whale optimization algorithm.

Fadl Dahan1,2

  • 1Department of Management Information Systems, College of Business Administration - Hawtat Bani Tamim, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia. f.naji@psau.edu.sa.

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|September 30, 2024
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Summary

This study introduces a novel Multi-Agent Whale Optimization Algorithm (MA-WOA) for optimizing web service composition. The MA-WOA approach effectively addresses Quality of Service (QoS) uncertainty, enhancing composition quality and computational efficiency.

Keywords:
Multi-agent whale optimization algorithmService-oriented computingWeb service compositionWhale optimization algorithm

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Service-Oriented Computing

Background:

  • The proliferation of web services presents challenges in selecting optimal services due to varying Quality of Service (QoS) attributes.
  • QoS uncertainty significantly impacts the selection of optimal composite services, as properties like response time and cost are dynamic.

Purpose of the Study:

  • To introduce a novel approach for web service composition that addresses QoS uncertainty.
  • To enhance the selection of suitable composite services by optimizing multiple QoS factors.

Main Methods:

  • Utilized a Multi-Agent Whale Optimization Algorithm (MA-WOA) for web service composition.
  • Employed a multi-agent system for service representation and control.
  • Incorporated a weighted aggregation function to combine multiple QoS properties into a fitness function.

Main Results:

  • The proposed MA-WOA method demonstrated superior performance compared to state-of-the-art methods.
  • Achieved higher composition quality and computational effectiveness in evaluations.
  • Validated using a dataset of 52,000 real and artificial web services.

Conclusions:

  • The MA-WOA strategy offers a feasible and effective solution for the web service composition problem.
  • Represents a significant advancement in optimizing composite services with uncertain QoS.
  • Addresses the challenge of selecting optimal services in a data-rich environment.