A QoS-Oriented Novel Optimization Schemes for Web Service Composition for Improved Healthcare
Vaitheki. K1, N. B. Arune Kumar2, Suresh Joseph. K3
1Vaitheki.K, Assistant Professor, Department of Computer Science, Pondicherry University, Puducherry, India.
2N.B.Arune Kumar, Research Scholar, Department of Computer Science, Pondicherry University, Puducherry, India.
3K.Suresh Joseph*, Associate Professor, Department of Computer Science, Pondicherry University, Puducherry, India.
Manuscript received on September 15, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3442-3447 | Volume-8 Issue-12, October 2019. | Retrieval Number: L25911081219/2019©BEIESP | DOI: 10.35940/ijitee.L2591.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to massive increase in Web service in order to provide users an improved service it is necessary to develop a dynamic approach based on multi constraint Quality-of-Service (QoS) driven web service composition model to recommend suitable services to intended users is a big challenge. QoS plays a prominent role in selecting a Web Service. QoS is mainly determined by several non-functional parameters like availability, reliability, robustness, integrity, accessibility, interoperability, accuracy and security. It is evidenced based on experimentation that the proposed Improved Rider Optimization scheme achieves near optimal solution where group of riders racing towards a target location and attains adaptability and scalability by making a more confident web service selection with QoS prediction.
Keywords: Web Service Recommendation, QoS Prediction, Rider Optimization Algorithm (ROA)
Scope of the Article: Healthcare Informatics