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Institution-governed cross-domain agent service cooperation: a model for trusted and autonomic service cooperation

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Abstract

Constructing Virtual Organizations (VOs) by creating service cooperation (i.e. service-oriented cooperation) has become a mainstream approach for reforming the development of application software systems in Web environments. However, the inherent non-controllability of business services across different management domains has brought on the so-called “trust” crisis that the success and benefit of cooperation cannot be ensured. It is this crisis that cumbers the achievement of autonomic cooperation and thereby the large-scale deployment of VOs. Therefore, this paper proposes a model, called IGTASC, to conquer this crisis and make service cooperation both trusted and autonomic by developing three closely-coupled technologies: institution-governed cooperation, policy-driven self-management, and community facilitation management.

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References

  1. Papazoglou MP et al (2007) Service-oriented computing: state of the art and research challenges. IEEE Comput 40(11):38–45

    Article  Google Scholar 

  2. Stal M (2006) Using architectural patterns and blueprints for service-oriented architecture. IEEE Softw 23(2):54–61

    Article  Google Scholar 

  3. Boella G, van der Torre L, Verhagen H (2008) Introduction to the special issue on normative multiagent systems. Auton Agents Multi-Agent Syst 17(1):1–10

    Article  Google Scholar 

  4. da Silva VT (2008) From the specification to the implementation of norms: an automatic approach to generate rules from norms to govern the behavior of agents. Auton Agents Multi-Agent Syst 17(1):117–155

    Article  Google Scholar 

  5. Aldewereld H, Dignum F, Meyer JJC (2007) Designing protocols for agent institutions. In: Proceedings of AAMAS’07, Honolulu, Hawaii, US, May, pp 138–140

    Google Scholar 

  6. Dignum V, Vázquez-Salceda J, Dignum F (2005) OMNI: Introducing social structure, norms and ontologies into agent organizations. In: Proceedings of the second international workshop on programming multi-agent systems (ProMAS 2004), Selected Revised and Invited Papers. LNAI, vol 3346, pp 181–198

    Google Scholar 

  7. Kaiser M (2007) Toward the realization of policy-oriented enterprise management. IEEE Comput 40(11):57–63

    Article  Google Scholar 

  8. Strassner J, Raymer D (2006) Implementing next generation services using policy-based management and autonomic computing principles. In: Network operations and management symposium, NOMS 2006, 10th IEEE/IFIP, pp 1–15

    Chapter  Google Scholar 

  9. Rubio-Loyola J et al (2006) A functional solution for goal-oriented policy refinement. In: Proceedings of the seventh IEEE international workshop on policies for distributed systems and networks (POLICY’06), pp 133–144

    Chapter  Google Scholar 

  10. Charalambides M et al (2005) Policy conflict analysis for quality of service management. In: Proceedings of the sixth IEEE international workshop on policies for distributed systems and networks (POLICY’05), pp 99–108

    Chapter  Google Scholar 

  11. De Roure D et al (2005) The semantic grid: past, present and future. Proc IEEE 93(3):669–681

    Article  Google Scholar 

  12. Li C, Li L (2006) Multi economic agent interaction for optimizing the aggregate utility of grid users in computational grid. Appl Intell 25(2):147–158

    Article  MATH  Google Scholar 

  13. Ozturk P, Rossland K, Gundersen O (2010) A multiagent framework for coordinated parallel problem solving. Appl Intell 33(2):132–143

    Article  Google Scholar 

  14. Van der Torre L (2003) Contextual deontic logic: normative agents, violations and independence. Ann Math Artif Intell 37(1–2):33–63. Special Issue on Computational Logic in Multi-Agent Systems

    Article  MathSciNet  MATH  Google Scholar 

  15. Gao J, Yuan C, Wang J (2005) SASA5: a method system for supporting agent social activities. Chin J Comput 28(5):38–848

    Google Scholar 

  16. See http://docs.oasis-open.org/ebxml-bp/2.0.4/ebxmlbp-v2.0.4-Spec-os-en.pdf (2006)

  17. Gao J, Ye S (2010) Institution-governed and contract-ensured hierarchical self-organization of service cooperation and VOs. In: Lecture notes in engineering and computer science: proceedings of the World Congress on Engineering 2010 (WCE 2010), London, UK, 30 June–2 July, 2010, pp 88–95

    Google Scholar 

  18. Gao J, Lv H (2011) Contract-performing circumstance-driven self-adaptation and self-evolution for service cooperation. In: Proceedings of the sixth international conference on internet and Web applications and services (ICIW2011), Sint Marrten, March 20–25, 2011, pp 43–50

    Google Scholar 

  19. W3C Submission, November 2004, http://www.w3.org/Submission/OWL-S/

  20. Foster I, Kesselman C, Nick J et al (2002) The physiology of the grid: an open grid services architecture for distributed systems integration. Open grid service infrastructure WG, global grid forum, June 22

  21. W3CWorking Draft, April 2007, http://www.w3.org/TR/sawsdl/

  22. MacKie-Mason J, Wellman M (2006) Automated markets and trading agents. In: Tesfatsion L, Judd KL (eds) Handbook of computational economics, vol 2. Amsterdam, Elsevier, pp 1381–1431. Chapter 28

    Chapter  Google Scholar 

  23. Lamparter S (2007) Policy-based contracting in semantic Web service markets. Phd Thesis, University of Karlsruhe, Germany, http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/5057

  24. OASIS (2006) Web services business process execution language (WS-BPEL), http://www.oasis-open.org/apps/org/workgroup/wsbpel/

  25. W3C (2002) Web service choreography interface (WSCI) 1.0, http://www.w3.org/TR/2002/NOTE-wsci-20020808

  26. Dignum V (2003) A model for organizational interaction: based on agents, founded in logic. PhD Thesis Dissertation, Utrecht University, ISBN 90-393-3568-0

  27. Boella G, van der Torre L (2007) Norm negotiation in multiagent systems. Int J Cooper Inf Syst 16:87–122

    Google Scholar 

  28. Wooldridge M, Van der Hoek W (2005) On obligations and normative ability: towards a logical analysis of the social contract. J Appl Log 3:396–420

    MathSciNet  MATH  Google Scholar 

  29. Dragon N, Gaspari M, Guidi D (2006) An infrastructure to support cooperation of knowledge-level agents on the semantic grid. Appl Intell 25(2):159–180

    Article  Google Scholar 

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Authors and Affiliations

  1. College of Information Science & Technology, Zhejiang Shuren University, Hangzhou, 310015, China

    Ji Gao & Hexin Lv

  2. College of Computer Science & Technology, Zhejiang University, Hangzhou, 310027, China

    Ji Gao

Authors
  1. Ji Gao
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  2. Hexin Lv
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Correspondence to Ji Gao.

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Gao, J., Lv, H. Institution-governed cross-domain agent service cooperation: a model for trusted and autonomic service cooperation. Appl Intell 37, 223–238 (2012). https://doi.org/10.1007/s10489-011-0323-y

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