QoS-aware web service selection with negative selection algorithm
Abstract Web service selection, as an important part of web service composition, has direct influence on the quality of composite service. Many works have been carried out to find the efficient algorithms for quality of service (QoS)-aware service selection problem in recent years. In this paper, a...
Ausführliche Beschreibung
Autor*in: |
Zhao, Xinchao [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2013 |
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Anmerkung: |
© Springer-Verlag London 2013 |
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Übergeordnetes Werk: |
Enthalten in: Knowledge and information systems - Springer London, 2000, 40(2013), 2 vom: 16. Apr., Seite 349-373 |
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Übergeordnetes Werk: |
volume:40 ; year:2013 ; number:2 ; day:16 ; month:04 ; pages:349-373 |
Links: |
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DOI / URN: |
10.1007/s10115-013-0642-x |
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Katalog-ID: |
OLC206337824X |
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520 | |a Abstract Web service selection, as an important part of web service composition, has direct influence on the quality of composite service. Many works have been carried out to find the efficient algorithms for quality of service (QoS)-aware service selection problem in recent years. In this paper, a negative selection immune algorithm (NSA) is proposed, and as far as we know, this is the first time that NSA is introduced into web service selection problem. Domain terms and operations of NSA are firstly redefined in this paper aiming at QoS-aware service selection problem. NSA is then constructed to demonstrate how to use negative selection principle to solve this question. Thirdly, an inconsistent analysis between local exploitation and global planning is presented, through which a local alteration of a composite service scheme can transfer to the global exploration correctly. It is a general adjusting method and independent to algorithms. Finally, extensive experimental results illustrate that NSA, especially for NSA with consistency weights adjusting strategy (NSA+), significantly outperforms particle swarm optimization and clonal selection algorithm for QoS-aware service selection problem. The superiority of NSA+ over others is more and more evident with the increase of component tasks and related candidate services. | ||
650 | 4 | |a Negative selection | |
650 | 4 | |a Web service | |
650 | 4 | |a QoS | |
650 | 4 | |a Quality of composite service | |
650 | 4 | |a Immune optimization | |
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700 | 1 | |a Li, Xingmei |4 aut | |
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10.1007/s10115-013-0642-x doi (DE-627)OLC206337824X (DE-He213)s10115-013-0642-x-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 06.74$jInformationssysteme bkl 54.64$jDatenbanken bkl Zhao, Xinchao verfasserin aut QoS-aware web service selection with negative selection algorithm 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2013 Abstract Web service selection, as an important part of web service composition, has direct influence on the quality of composite service. Many works have been carried out to find the efficient algorithms for quality of service (QoS)-aware service selection problem in recent years. In this paper, a negative selection immune algorithm (NSA) is proposed, and as far as we know, this is the first time that NSA is introduced into web service selection problem. Domain terms and operations of NSA are firstly redefined in this paper aiming at QoS-aware service selection problem. NSA is then constructed to demonstrate how to use negative selection principle to solve this question. Thirdly, an inconsistent analysis between local exploitation and global planning is presented, through which a local alteration of a composite service scheme can transfer to the global exploration correctly. It is a general adjusting method and independent to algorithms. Finally, extensive experimental results illustrate that NSA, especially for NSA with consistency weights adjusting strategy (NSA+), significantly outperforms particle swarm optimization and clonal selection algorithm for QoS-aware service selection problem. The superiority of NSA+ over others is more and more evident with the increase of component tasks and related candidate services. Negative selection Web service QoS Quality of composite service Immune optimization Wen, Zichao aut Li, Xingmei aut Enthalten in Knowledge and information systems Springer London, 2000 40(2013), 2 vom: 16. Apr., Seite 349-373 (DE-627)323971725 (DE-600)2036569-X (DE-576)9323971723 0219-1377 nnns volume:40 year:2013 number:2 day:16 month:04 pages:349-373 https://doi.org/10.1007/s10115-013-0642-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB GBV_ILN_70 GBV_ILN_4277 06.74$jInformationssysteme VZ 106415212 (DE-625)106415212 54.64$jDatenbanken VZ 106410865 (DE-625)106410865 AR 40 2013 2 16 04 349-373 |
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qos-aware web service selection with negative selection algorithm |
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QoS-aware web service selection with negative selection algorithm |
abstract |
Abstract Web service selection, as an important part of web service composition, has direct influence on the quality of composite service. Many works have been carried out to find the efficient algorithms for quality of service (QoS)-aware service selection problem in recent years. In this paper, a negative selection immune algorithm (NSA) is proposed, and as far as we know, this is the first time that NSA is introduced into web service selection problem. Domain terms and operations of NSA are firstly redefined in this paper aiming at QoS-aware service selection problem. NSA is then constructed to demonstrate how to use negative selection principle to solve this question. Thirdly, an inconsistent analysis between local exploitation and global planning is presented, through which a local alteration of a composite service scheme can transfer to the global exploration correctly. It is a general adjusting method and independent to algorithms. Finally, extensive experimental results illustrate that NSA, especially for NSA with consistency weights adjusting strategy (NSA+), significantly outperforms particle swarm optimization and clonal selection algorithm for QoS-aware service selection problem. The superiority of NSA+ over others is more and more evident with the increase of component tasks and related candidate services. © Springer-Verlag London 2013 |
abstractGer |
Abstract Web service selection, as an important part of web service composition, has direct influence on the quality of composite service. Many works have been carried out to find the efficient algorithms for quality of service (QoS)-aware service selection problem in recent years. In this paper, a negative selection immune algorithm (NSA) is proposed, and as far as we know, this is the first time that NSA is introduced into web service selection problem. Domain terms and operations of NSA are firstly redefined in this paper aiming at QoS-aware service selection problem. NSA is then constructed to demonstrate how to use negative selection principle to solve this question. Thirdly, an inconsistent analysis between local exploitation and global planning is presented, through which a local alteration of a composite service scheme can transfer to the global exploration correctly. It is a general adjusting method and independent to algorithms. Finally, extensive experimental results illustrate that NSA, especially for NSA with consistency weights adjusting strategy (NSA+), significantly outperforms particle swarm optimization and clonal selection algorithm for QoS-aware service selection problem. The superiority of NSA+ over others is more and more evident with the increase of component tasks and related candidate services. © Springer-Verlag London 2013 |
abstract_unstemmed |
Abstract Web service selection, as an important part of web service composition, has direct influence on the quality of composite service. Many works have been carried out to find the efficient algorithms for quality of service (QoS)-aware service selection problem in recent years. In this paper, a negative selection immune algorithm (NSA) is proposed, and as far as we know, this is the first time that NSA is introduced into web service selection problem. Domain terms and operations of NSA are firstly redefined in this paper aiming at QoS-aware service selection problem. NSA is then constructed to demonstrate how to use negative selection principle to solve this question. Thirdly, an inconsistent analysis between local exploitation and global planning is presented, through which a local alteration of a composite service scheme can transfer to the global exploration correctly. It is a general adjusting method and independent to algorithms. Finally, extensive experimental results illustrate that NSA, especially for NSA with consistency weights adjusting strategy (NSA+), significantly outperforms particle swarm optimization and clonal selection algorithm for QoS-aware service selection problem. The superiority of NSA+ over others is more and more evident with the increase of component tasks and related candidate services. © Springer-Verlag London 2013 |
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QoS-aware web service selection with negative selection algorithm |
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