Web Service Composition Optimization Based on Improved Artificial Bee Colony Algorithm

He, Jun; Chen, Liang; Wang, Xiaolong; Li, Yonggang

doi:10.4304/jnw.8.9.2143-2149

Cited by 15 publications

(7 citation statements)

References 27 publications

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“…Early research illuminates web benefit determinations as straight programming problems [5][6]. At the show, the determination issue is formalized by the methods for improvement algorithms [7][8]. Hereditary Algorithm (GA) and Particle Swarm Optimization (PSO) calculation are the most utilized methodologies for upgrading web services choice.…”

Section: Related Workmentioning

confidence: 99%

An efficient scheduling framework for improving QoS in web service composition

Aruna¹,

Vijivinod²

2018

IJET

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Proficient QoS-based web service determination from the various number of practically substitutable web service to convey complex undertakings are a present call from the business world. QoS-based web service's determination is a multi-target improvement issue. Current methodologies like FCFS, Priority and Multi-queue to explain it. Be that as it may, the execution time of QoS-based web services choice to accomplish the most extreme wellness esteem is as yet a worry for handy circulated applications. This paper proposes a productive method to take care of this issue utilizing the Social Spider Algorithm (SSA).

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Section: Related Workmentioning

confidence: 99%

An efficient scheduling framework for improving QoS in web service composition

Aruna¹,

Vijivinod²

2018

IJET

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“…Jun He et al [20] expressed a web service composition optimization based on improved Artificial Bee Colony (ABC) Algorithm in order to achieve the high quality composite services. However, this model is incomplete and needs improvement.…”

Section: Service Optimization-based Algorithmmentioning

confidence: 99%

“…Web Service Composition Optimization based on improved ABC Algorithm [20] The model is incomplete and needs improvement.…”

mentioning

confidence: 99%

An empirical study on QoS-based web services selection and composition

Deepa¹,

Sathiaseelan²

2015

2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

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The selection of an appropriate web service from the Internet is a great challenge for the web clients. It plays a vital role to choose the best, from different service providers offering the services with same functionalities. Mostly the web users may need certain service that needs to be combined with existing atomic services, termed as composite service. Many researchers have carried out their work on the optimal selection and composition of web services. One of the major issues is to find out the appropriate web service from service registries that satisfies the client's need. The most promising and important advantage of web service technology is the possibility of linking and combining the existing services to construct a newly composed web service that satisfies the client's requirements. QoS parameters like reliability, execution time, cost concludes a comprehensive selection of processes that are comparable to the needs of web clients. In this paper, a comparative study has been made on QoS-based web service selection and composition.

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“…In recent years, with the development of Service-Oriented Architecture (SOA) [1], more and more researches have proposed automatic or semi-automatic approaches to end users to construct their own applications [2] [3] [4]. In these researches, the end-users are able to take the advantage of the SOA to design a variety of applications.…”

Section: Introductionmentioning

confidence: 99%

Customized Interface Generation Model Based on Knowledge and Template for Web Service

Zhou

Wang

et al. 2014

JNW

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With the development of Service-Oriented Architecture, more and more researches have provided automatic and semi-automatic approaches to end-user. Users can construct their own applications with web services. However, it is hard for most end-users to customize the interfaces of applications with current service composition methods. To address this issue, an interface generation model was proposed to provide customized user interface and interaction workflow. In this model, knowledge was involved to instruct the workflow of interaction. Templates were adopted to describe the user interface. Some significant points, such as user definition, data profile, user interaction workflow, interface description, were discussed in detail. A prototype system was implemented. Some demos have been shown to verify the customized interface generation model. With this model, end-users can define the interfaces and interaction workflows of web services with rules and templates. It supplies the gap of user interface in service composition. Compared with the current interface generation in service composition, the proposed model is more flexible and more effective for end-users.

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Web Service Composition Optimization Based on Improved Artificial Bee Colony Algorithm

Cited by 15 publications

References 27 publications

An efficient scheduling framework for improving QoS in web service composition

An efficient scheduling framework for improving QoS in web service composition

An empirical study on QoS-based web services selection and composition

Customized Interface Generation Model Based on Knowledge and Template for Web Service

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