Accountability monitoring and reasoning in service-oriented architectures

Service Oriented Computing and Applications

Volumn 1, Issue 1, 2007, Pages 35-50

  Zhang, Yue ^a   Lin, Kwei Jay ^a   Hsu, Jane Y J ^b  

^a University of California at Irvine   (United States)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Accountability; Bayesian networks; Diagnosis; Monitor; SOA

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; CHANNEL STATE INFORMATION; COST EFFECTIVENESS; LEARNING SYSTEMS; PROBLEM SOLVING;

ACCOUNTABILITY; CHANNEL SELECTION; SERVICE-ORIENTED ARCHITECTURE (SOA);

NETWORK ARCHITECTURE;

EID: 34250880362     PISSN: 18632386     EISSN: 18632394     Source Type: Journal    
DOI: 10.1007/s11761-007-0001-4     Document Type: Article

References (31)

1. Bichler M, Lin KJ (2006) Service-oriented computing. IEEE Computer 39(3):99-101
2. Huhns MN, Singh MP (2005) Service-oriented computing: Key concepts and principles. IEEE Internet Computing
3. Curbera F, Goland Y, Klein J, Leymann F, Roller D, Thatte S, Weerawarana S (2003) Business process execution language for web services, version 1.1. http://www-106.ibm.com/developerworks/webservices/library/ws-bpel
4. Ross-Talbot S, Fletcher T (2006) Web services choreography description language: Prime. http://www.w3.org/TR/ws-cdl-10-primer/
5. Neumann PG (2006) Risks relating to system compositions. Commun of ACM 49(7)
6. Yu T, Lin KJ (2005) Service selection algorithms for composing complex services with end-to-end QoS constraints. Proc. 3rd International Conference on Service Oriented Computing (ICSOC2005), The Netherlands Amsterdam
7. Yu T, Lin KJ (2005) Adaptive algorithms for finding replacement services in autonomic distributed business processes. The 7th International Symposium on Autonomous Decentralized Systems, Chengdu, Jiuzhaigou, China
8. Lin K.T, Hsu JY, Zhang Y, Yu T (2006) A distributed reputation broker framework for web service applications. J E-Commerce Res 7(3):164-177
9. Lin KJ, Lu H, Yu T, Tai CE (2005) A reputation and trust management broker framework for web applications. IEEE Conference on e-Technology, e-Commerce and e-Service (EEE'05), 262-269
10. Horsch K (1996) Results-based accountability systems: Opportunities and challenges. The Evaluation Exchange II(1) http://www.gse.harvard.edu/hfrp/eval/ issue3/theory1.html
11. Acharya M, Kulkarni A, Kuppili R, Mani R, More N, Narayanan S, Patel P, Schuelke KW, Subramanian SN (2005) SOA in the real world experiences. Proceedings of the 3rd International Conference on Service-Oriented Computing 437-449
12. Ponnekanti SR, Fox A (2002) SWORD: A developer toolkit for web service composition, 11th World Wide Web Conference, Honolulu, Hawaii
13. Yu T, Lin KJ (2005) A broker-based framework for QoSaware web service composition. In: IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE05), Hong Kong, China
14. Cormen TH, Leiserson CE, Rivest RL, Stein C (2001) The set-covering problem. Introduction to algorithms, second edition, MIT Press, McGraw-Hill, pp 1033-1038
15. Zhang Y, Lin KJ, Klefstad R (2006) DIRECT: arobust distributed broker framework for trust and reputation management. IEEE Conference on e-Technology, e-Commerce and e-Service (EEE'06)
16. Pearl J (1988) Probabilistic reasoning in intelligent systems. Morgan Kaufmann, San Mateo
17. Heckerman D, Breese JS, Rommelse K (1995) Decision-theoretic troubleshooting. Commu ACM 38(3):49-57
18. Lerner U, Parr R, Koller D, Biswas G (2000) Bayesian fault detection and diagnosis in dynamic systems. AAAI/IAAI, pp 531-537
19. Korb KB, Nicholson AE (2004) Bayesian artificial intelligence. Chapman & Hall/CRC, London, UK
20. Jensen FV (2001) Bayesian networks and decision graphs. Springer, Heidelberg
21. Nilsson NJ (1998) Artificial intelligence: a new synthesis. Morgan Kaufmann Publishers, San Francisco
22. DSL (2006) SMILE (structural modeling, inference, and learning engine). Decision Systems Laboratory(DSL), School of Information Sciences, University of Pittsburgh, Pittsburgh, http://genie.sis.pitt.edu/
23. Jensen FV, Liang J (1994) drHugin: a system for value of information in bayesian networks. Proceedings of the 1994 Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp 178-183
24. Jensen FV, Liang J (1992) A system for hypothesis driven myopic data request. Technical Report R-92-2021, Department of Mathematics and computer Science, Aalborg University, Aalborg
25. Arya V, Garg N, Khandekar R, Munagala K, Pandit V (2001) Local search heuristic for k-median and facility location problems. ACM Symposium on Theory of Computing, pp 21-29
26. Charikar M, Guha S, Tardos E, Shmoys DB (1999) A constant-factor approximation algorithm for the k-median problem (extended abstract). ACM Symposium on Theory of Computing, pp 1-10
27. Ide JS, Cozman FG (2002) Generating random bayesian networks. Proceedings on 16th Brazilian Symposium on Artificial Intelligence (SBIA 2002), Advances in Artificial Intelligence, Springer, Berlin, pp 366-375
28. Wang G, Wang C, Chen A, Wang H, Fung C, Uczekaj S, Chen YL, Guthmiller W, Lee J (2005) Service level management using QoS monitoring, diagnostics, and adaptation for networked enterprise systems. EDOC Enterprise Computing Conference, 2005 Ninth IEEE International, pp 239-248
29. Ardissono L, Console L, Goy A, Petrone G, Picardi C, Segnan M (2005) Enhancing web services with diagnostic capabilities. Third IEEE European Conference on Web Services (ECOWS 2005)
30. Lee G (2006) CAPRI: a common architecture for autonomous, distributed diagnosis of internet faults using probabilistic relational models. In: the First Workshop on Hot Topics in Autonomic Computing (HotAC I) in conjunction with the 3rd IEEE International Conference on Autonomie Computing (ICAC-06)
31. Krishnan R, Peters .T, Padman R, Kaplan D (2005) On data reliability assessment in accounting information systems. Inform Systems Res 16:307-326