QoS-driven selection of web service considering group preference

Wang, Hei-Chia; Chiu, Wei-Pin; Wu, Suei-Chih

doi:10.1016/j.comnet.2015.10.014

Cited by 8 publications

(4 citation statements)

References 39 publications

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“…Other methods based on genetic algorithm (GA) were introduced in WSS [4,16,17]. There are still some other-theorybased approaches used for service selection and reuse, for example, QoS ontology [18] and group decision [19]. Some studies integrated multiple methods to improve selection effectiveness.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

Yu¹,

Yan²,

2022

Applied Mathematics and Nonlinear Sciences

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To promote the practical use of web service technologies, it is critical to select a proper web service that will meet users’ preferences from a pool of web services with similar functions. It is usually a core issue during web service selection to describe and evaluate the quality of these web services. Average value can be employed to describe certain service quality and to evaluate the quality with multiple criteria through the Simple Additive Weight Method. Based on an analysis of various deficiencies in existing approaches proposed in some studies, four indicators were used: Price, Response Time, Reliability and Credibility. On top of that, recent sampling data sets were introduced to describe the uncertain quality of service (QoS) criteria; linear physical programming was used to evaluate QoS with comprehensive criteria to meet the need to objectively describe uncertain QoS criteria, and preference regions were set to adapt to interval characteristics of criteria. Finally, a computational example is provided to demonstrate the feasibility and effectiveness of the method.

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Section: Literature Reviewmentioning

confidence: 99%

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

Yu¹,

Yan²,

2022

Applied Mathematics and Nonlinear Sciences

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“…It ranks a limited number of evaluation objects according to their proximity to an idealized goal and evaluates the relative merits of existing objects [12]. The TOPSIS has been successfully applied to evaluation systems in various industries, such as engineer management [29] and online shopping websites [30].…”

Section: Topsismentioning

confidence: 99%

A Manufacturing SCOS Model (MSCOS) Based on the Similarity of Parameter Sequences Between Tasks and Service Composition

Gao

Guo

Yan

2021

Int J Comput Intell Syst

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Service composition and optimal selection (SCOS) is a core issue in cloud manufacturing (CMfg) when integrating distributed manufacturing services for complex manufacturing tasks. Generally, a set of recommended task parameter sequences (Tps) will be given when publishing manufacturing tasks. The similarity between the service composition parameter sequence (SCps) and Tps also reflects the rationality of the service composition. However, various evaluation models based on QoS have been proposed, ignoring the rationality between the Tps and SCps. Considering the similarity of the Tps and SCps in an evaluation model, we propose a manufacturing SCOS framework called MSCOS. The framework includes two parts: an evaluation model and an algorithm for both optimization and selection. In the evaluation model, based on the numerical proximity and geometric similarity between the Tps and SCps, improving the technique for order preference by similarity to an ideal solution (TOPSIS) with the grey correlation degree (GC), we propose the GC&TOPSIS (GTOPSIS). In the optimization and selection algorithm, an improved flower pollination algorithm (IFPA) is proposed to achieve optimization and selection based on polyline characteristics between the fitness values in the population. Experiments show that the MSCOS evaluation effect and optimal selection offer better performance than commonly used algorithms.

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“…Liu et al [ 30 ] proposed a web service composition that sorted global and local optimisations through a cultural genetic algorithm per the QoS of each selected service, including execution time. Additionally, Wang et al [ 31 ] proposed a web service composition evaluated by QoS attributes to suggest the best web service composition. Decision makers generally examine a web service based on its fitness for responding to a service delivery requirement.…”

Section: Related Workmentioning

confidence: 99%

Mutation-Based Harmony Search Algorithm for Hybrid Testing of Web Service Composition

Maythaisong

Songpan

2018

Computational Intelligence and Neuroscience

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Web service composition is a method of developing a new web service from an existing one based on business goals. Web services selected for composition should provide accurate operational results and reliable applications. However, most alternative service providers have not yet fulfilled users' needs in terms of services and processes. Service providers, in fact, have focused on enhancing nonfunctional attributes, such as efficiencies of time, cost, and availability, which still face limitations. Furthermore, it remains advantageous to compose services and suitably plan them around business plans. Thus, this study introduces hybrid testing using a combination of the functional and nonfunctional testing approaches. The former was used to design a test case through the equivalence class partitioning technique, and the latter was used to select suitable services for the test results. We find defects and appropriate solutions for combining services based on business requirements. The mutation-based harmony search (MBHS) algorithm is proposed to select web services and to compose with minimum defects. The results of this study reveal that MBHS can support a combination of various services more efficiently and dramatically than other metaheuristic methodologies. Additionally, it helps find appropriate solutions to compose services based on business plans.

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QoS-driven selection of web service considering group preference

Cited by 8 publications

References 39 publications

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

Study of a linear-physical-programming-based approach for web service selection under uncertain service quality

A Manufacturing SCOS Model (MSCOS) Based on the Similarity of Parameter Sequences Between Tasks and Service Composition

Mutation-Based Harmony Search Algorithm for Hybrid Testing of Web Service Composition

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