A Survey on QoS aware Web Service Selection for Reactive Service Composition

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.

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QoS-Based Web Service Selection for Multiple Users by Genetic Algorithm

2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) ◽

10.1109/fskd.2018.8687209 ◽

2018 ◽

Author(s):

Wenlong Zhu ◽

Hanqin Qin ◽

Jianbo Wang ◽

Kai-Yuan Cai

Keyword(s):

Genetic Algorithm ◽

Web Service ◽

Service Selection ◽

Multiple Users ◽

Web Service Selection ◽

Selection For

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An Evolutionary Algorithmic Approach based Optimal Web Service Selection for Composition with Quality of Service

Journal of Computer Science ◽

10.3844/jcssp.2012.573.578 ◽

2012 ◽

Vol 8 (4) ◽

pp. 573-578 ◽

Cited By ~ 6

Author(s):

Noor

Keyword(s):

Quality Of Service ◽

Web Service ◽

Service Selection ◽

Algorithmic Approach ◽

Web Service Selection ◽

Selection For

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Quality-of-Service Based Web Service Composition and Execution Framework

Network and Communication Technology Innovations for Web and IT Advancement ◽

10.4018/978-1-4666-2157-2.ch005 ◽

2014 ◽

pp. 74-93

Author(s):

Bassam Al Shargabi ◽

Osama Al-haj Hassan ◽

Alia Sabri ◽

Asim El Sheikh

Keyword(s):

Quality Of Service ◽

Web Services ◽

Web Service ◽

Service Composition ◽

Service Selection ◽

Web Service Composition ◽

Web Service Selection ◽

Selection Decisions ◽

Uddi Registry

Software is gradually becoming more built by composing web services to support enterprise applications integration; thus, making the process of composing web services a significant topic. The Quality of Service (QoS) in web service composition plays a crucial role. As such, it is important to guarantee, monitor, and enforce QoS and ability to handle failures during execution. Therefore, an urgent need exists for a dynamic Web Service Composition and Execution (WSCE) framework based on QoS constraints. A WSCE broker is designed to maintain the following function: intelligent web service selection decisions based on local QoS for individual web service or global QoS based selection for composed web services, execution tracking, and adaptation. A QoS certifier controlled by the UDDI registry is proposed to verify the claimed QoS attributes. The authors evaluate the composition plan along with performance time analysis.

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WS-SIM: A Toolkit for Modeling and Simulation of Service Composition

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.1304 ◽

2013 ◽

Vol 756-759 ◽

pp. 1304-1308

Author(s):

Fan Zhang

Keyword(s):

Web Service ◽

Service Composition ◽

Simulation Experiment ◽

Service Selection ◽

Selection Algorithm ◽

Web Service Selection ◽

Composite Services ◽

Selection Algorithms

Web service has been rapidly developed in recent years. Web service selection is an important issue in web service composition and lots of service selection algorithms have been presented. As lots of them select an atomic service during runtime, it is not an easy task to evaluate the quality of the composited service which composed of several atomic services. In this work we introduce WS-SIM, a simulation toolkit, to solve this problem. WS-SIM supports modeling and simulating composite services and atomic services in the real world. This system also provides many common service selection algorithms and researchers can custom their own service selection algorithm for a simulation experiment. The quality of composite services can also be generated by our system. Furthermore, to demonstrate suitability of the WS-SIM, in this paper, functionalities of our system are illustrated by a case study. This confirms the usability and the applicability of WS-SIM.

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