Optimizing Quality of Service in Multi-Service Environments Using Reptile Search Algorithm

Authors

  • Palacharla S V S Sridhar  Research Scholar, Department of Computer Science, University of Technology, Jaipur, India
  • Dr. Bechoo Lal  Associate Professor, Department of Computer Science, University of Technology, Jaipur, India

Keywords:

Quality of Service (QoS), Multi-Service Compositions (MSCs), User Experience, Service Optimization, User-Centric Framework, Service Performance, RSA

Abstract

In the contemporary landscape of multi-service computing, optimizing Quality of Service (QoS) is crucial for ensuring user satisfaction and system efficiency. Multi-Service Compositions (MSCs) integrate diverse services to provide comprehensive functionalities, making QoS optimization complex due to varying user expectations and dynamic service environments. This paper presents a systematic approach to optimizing QoS in multi-service environments with a strong emphasis on enhancing user experience. A significant focus is placed on developing a user-centric QoS optimization framework with Reptile Search Algorithm (RSA) that prioritizes user satisfaction alongside traditional QoS metrics. This framework involves integrating user preference modeling and adaptive service selection, ensuring the most relevant and high-performing services are chosen based on user needs. Additionally, we explore predictive analytics to anticipate potential QoS degradations and proactively reconfigure service compositions to maintain optimal performance.

References

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International Journal of Scientific Research in Science and Technology

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Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Palacharla S V S Sridhar, Dr. Bechoo Lal "Optimizing Quality of Service in Multi-Service Environments Using Reptile Search Algorithm" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 2, pp.1029-1034, March-April-2023.