A correlation-driven optimal service selection approach for virtual enterprise establishment
A virtual enterprise is an emerging business cooperation model which allows rapid response to the unpredictable market behavior and opportunity. For service oriented enterprises, where computing resources are encapsulated as services and published online, establishing a virtual enterprise can be reg...
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| Veröffentlicht in: | Journal of intelligent manufacturing 2014-12, Vol.25 (6), p.1441-1453 |
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| container_title | Journal of intelligent manufacturing |
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| creator | Wu, Quanwang Zhu, Qingsheng Zhou, Mingqiang |
| description | A virtual enterprise is an emerging business cooperation model which allows rapid response to the unpredictable market behavior and opportunity. For service oriented enterprises, where computing resources are encapsulated as services and published online, establishing a virtual enterprise can be regarded as a process of service composition. As there are increasing numbers of available services providing similar functionalities but with different quality values, and with potential business correlations among them, it is not trivial to orchestrate a composite service with optimal overall quality of service (QoS). In this paper, we formally propose a business correlation model including both quality correlations and selection correlations, and then present an efficient approach for correlation-driven QoS-aware optimal service selection based on a genetic algorithm. The genetic algorithm is tailored with niching technology, a repair operator and a penalty mechanism. The effectiveness and efficiency of the approach are demonstrated via empirical studies at last. |
| doi_str_mv | 10.1007/s10845-013-0751-0 |
| format | Article |
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The effectiveness and efficiency of the approach are demonstrated via empirical studies at last.</description><identifier>ISSN: 0956-5515</identifier><identifier>EISSN: 1572-8145</identifier><identifier>DOI: 10.1007/s10845-013-0751-0</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Algorithms ; Business ; Business and Management ; Consumers ; Control ; Cooperation ; Correlation ; Encapsulation ; Experiments ; Genetic algorithms ; Integer programming ; Literature reviews ; Machines ; Manufacturing ; Markets ; Mechatronics ; Operators ; Optimization ; Processes ; Production ; Quality of service ; Response time ; Robotics ; Services ; Simulation ; Statistical analysis ; Virtual corporations</subject><ispartof>Journal of intelligent manufacturing, 2014-12, Vol.25 (6), p.1441-1453</ispartof><rights>Springer Science+Business Media New York 2013</rights><rights>Springer Science+Business Media New York 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-e6d2d75460e692423025b0492ed833eb5b64ec615341c26af6f0bf543172e2fd3</citedby><cites>FETCH-LOGICAL-c382t-e6d2d75460e692423025b0492ed833eb5b64ec615341c26af6f0bf543172e2fd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10845-013-0751-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10845-013-0751-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Wu, Quanwang</creatorcontrib><creatorcontrib>Zhu, Qingsheng</creatorcontrib><creatorcontrib>Zhou, Mingqiang</creatorcontrib><title>A correlation-driven optimal service selection approach for virtual enterprise establishment</title><title>Journal of intelligent manufacturing</title><addtitle>J Intell Manuf</addtitle><description>A virtual enterprise is an emerging business cooperation model which allows rapid response to the unpredictable market behavior and opportunity. For service oriented enterprises, where computing resources are encapsulated as services and published online, establishing a virtual enterprise can be regarded as a process of service composition. As there are increasing numbers of available services providing similar functionalities but with different quality values, and with potential business correlations among them, it is not trivial to orchestrate a composite service with optimal overall quality of service (QoS). In this paper, we formally propose a business correlation model including both quality correlations and selection correlations, and then present an efficient approach for correlation-driven QoS-aware optimal service selection based on a genetic algorithm. The genetic algorithm is tailored with niching technology, a repair operator and a penalty mechanism. The effectiveness and efficiency of the approach are demonstrated via empirical studies at last.</description><subject>Algorithms</subject><subject>Business</subject><subject>Business and Management</subject><subject>Consumers</subject><subject>Control</subject><subject>Cooperation</subject><subject>Correlation</subject><subject>Encapsulation</subject><subject>Experiments</subject><subject>Genetic algorithms</subject><subject>Integer programming</subject><subject>Literature reviews</subject><subject>Machines</subject><subject>Manufacturing</subject><subject>Markets</subject><subject>Mechatronics</subject><subject>Operators</subject><subject>Optimization</subject><subject>Processes</subject><subject>Production</subject><subject>Quality of service</subject><subject>Response time</subject><subject>Robotics</subject><subject>Services</subject><subject>Simulation</subject><subject>Statistical analysis</subject><subject>Virtual 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correlation-driven optimal service selection approach for virtual enterprise establishment</title><author>Wu, Quanwang ; Zhu, Qingsheng ; Zhou, Mingqiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-e6d2d75460e692423025b0492ed833eb5b64ec615341c26af6f0bf543172e2fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Business</topic><topic>Business and Management</topic><topic>Consumers</topic><topic>Control</topic><topic>Cooperation</topic><topic>Correlation</topic><topic>Encapsulation</topic><topic>Experiments</topic><topic>Genetic algorithms</topic><topic>Integer programming</topic><topic>Literature reviews</topic><topic>Machines</topic><topic>Manufacturing</topic><topic>Markets</topic><topic>Mechatronics</topic><topic>Operators</topic><topic>Optimization</topic><topic>Processes</topic><topic>Production</topic><topic>Quality of 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For service oriented enterprises, where computing resources are encapsulated as services and published online, establishing a virtual enterprise can be regarded as a process of service composition. As there are increasing numbers of available services providing similar functionalities but with different quality values, and with potential business correlations among them, it is not trivial to orchestrate a composite service with optimal overall quality of service (QoS). In this paper, we formally propose a business correlation model including both quality correlations and selection correlations, and then present an efficient approach for correlation-driven QoS-aware optimal service selection based on a genetic algorithm. The genetic algorithm is tailored with niching technology, a repair operator and a penalty mechanism. The effectiveness and efficiency of the approach are demonstrated via empirical studies at last.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s10845-013-0751-0</doi><tpages>13</tpages></addata></record> |
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| subjects | Algorithms Business Business and Management Consumers Control Cooperation Correlation Encapsulation Experiments Genetic algorithms Integer programming Literature reviews Machines Manufacturing Markets Mechatronics Operators Optimization Processes Production Quality of service Response time Robotics Services Simulation Statistical analysis Virtual corporations |
| title | A correlation-driven optimal service selection approach for virtual enterprise establishment |
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