Abstract
Service-oriented collective intelligence, which creates new value by combining services provided by various organizations via services computing technologies, has been gaining in importance with the development of services computing technologies. Because collective intelligence needs many participants, it is crucial to build a framework where a wide variety of policies of service providers are satisfied. In this paper, we propose an architecture which handles a comprehensive process of service selection, adaptation, and coordination to satisfy policies of service providers. First the system selects services, and then adapts the services to the given policies if any of available services cannot satisfy the policies. To achieve this, we formalized this problem as an extension of constraint satisfaction problem and showed a solution. Moreover, the system often needs to force a composite service to follow protocols given by service providers. Therefore we proposed a method which uses meta-level control functions for composite services in order to change order of service execution.
Original language | English |
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Title of host publication | Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010 |
Pages | 154-161 |
Number of pages | 8 |
DOIs | |
Publication status | Published - 2010 Oct 20 |
Externally published | Yes |
Event | 2010 IEEE 7th International Conference on Services Computing, SCC 2010 - Miami, FL, United States Duration: 2010 Jul 5 → 2010 Jul 10 |
Publication series
Name | Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010 |
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Conference
Conference | 2010 IEEE 7th International Conference on Services Computing, SCC 2010 |
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Country | United States |
City | Miami, FL |
Period | 10/7/5 → 10/7/10 |
Fingerprint
Keywords
- Collective intelligence
- Coordination
- Service supervision
- Web service
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Theoretical Computer Science
Cite this
Service supervision for service-oriented collective intelligence. / Tanaka, Masahiro; Murakami, Yohei; Lin, Donghui; Ishida, Toru.
Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010. 2010. p. 154-161 5557227 (Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Service supervision for service-oriented collective intelligence
AU - Tanaka, Masahiro
AU - Murakami, Yohei
AU - Lin, Donghui
AU - Ishida, Toru
PY - 2010/10/20
Y1 - 2010/10/20
N2 - Service-oriented collective intelligence, which creates new value by combining services provided by various organizations via services computing technologies, has been gaining in importance with the development of services computing technologies. Because collective intelligence needs many participants, it is crucial to build a framework where a wide variety of policies of service providers are satisfied. In this paper, we propose an architecture which handles a comprehensive process of service selection, adaptation, and coordination to satisfy policies of service providers. First the system selects services, and then adapts the services to the given policies if any of available services cannot satisfy the policies. To achieve this, we formalized this problem as an extension of constraint satisfaction problem and showed a solution. Moreover, the system often needs to force a composite service to follow protocols given by service providers. Therefore we proposed a method which uses meta-level control functions for composite services in order to change order of service execution.
AB - Service-oriented collective intelligence, which creates new value by combining services provided by various organizations via services computing technologies, has been gaining in importance with the development of services computing technologies. Because collective intelligence needs many participants, it is crucial to build a framework where a wide variety of policies of service providers are satisfied. In this paper, we propose an architecture which handles a comprehensive process of service selection, adaptation, and coordination to satisfy policies of service providers. First the system selects services, and then adapts the services to the given policies if any of available services cannot satisfy the policies. To achieve this, we formalized this problem as an extension of constraint satisfaction problem and showed a solution. Moreover, the system often needs to force a composite service to follow protocols given by service providers. Therefore we proposed a method which uses meta-level control functions for composite services in order to change order of service execution.
KW - Collective intelligence
KW - Coordination
KW - Service supervision
KW - Web service
UR - http://www.scopus.com/inward/record.url?scp=77957924084&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957924084&partnerID=8YFLogxK
U2 - 10.1109/SCC.2010.64
DO - 10.1109/SCC.2010.64
M3 - Conference contribution
AN - SCOPUS:77957924084
SN - 9780769541266
T3 - Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010
SP - 154
EP - 161
BT - Proceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010
ER -