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Improved Genetic Algorithm based Approach for QoS Aware Web Service Composition
Date
2014-07-02
Author
Yilmaz, A. Erdinc
Karagöz, Pınar
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Use of web services is one of the most rapidly developing technologies. Since web services are defined by XML-based standards to overcome platform dependency, they are very eligible to integrate with each other in order to establish new services. This composition enables us to reuse existing services, which results in less cost and time consumption. One of the recent problems with web service composition is to maximize the overall Quality of Service (QoS) of the composed service. Most common elements of QoS are response time, availability, reliability, throughput and cost (price). Since the selection of the optimal execution plan that maximizes the composition's overall QoS is a NP-hard problem, applying optimization techniques is very popular. In this work, we propose an improved Genetic Algorithm based approach to optimize the overall QoS of the composed service. Experimental results indicate improvement for QoS of the composition built by the proposed methods.
Subject Keywords
Harmony Search
,
Simulated Annealing;
,
Genetic Algorithm
,
Web Service Composition
,
Web Service
,
QoS
URI
https://hdl.handle.net/11511/47094
DOI
https://doi.org/10.1109/icws.2014.72
Collections
Department of Computer Engineering, Conference / Seminar
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A. E. Yilmaz and P. Karagöz, “Improved Genetic Algorithm based Approach for QoS Aware Web Service Composition,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47094.
