Abstract
In mission critical applications of distributed information systems, autonomous information resources are coordinated to meet the information demands of client specific decision-support views. A major challenge is handling dynamic changes in QoS constraints of the clients and/or changes in QoS properties of the resources. This paper presents a negotiation-based adaptive view coordination approach to address such run-time changes. The three key ideas are as follows. a) A negotiation-based reasoning model for adapting view maintenance policies to meet changes in QoS needs and context constraints. b) A dynamic software architecture of the collaborating information resources supporting the client task of maintaining a specific view. c) Coordination mechanisms in the architecture that realize negotiated changes in the policies for view maintenance. The paper describes an initial prototype of the support system for the supply-chain task domain.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
D. Agrawal, A. El Abbadi, A Singh, and T. Yurek, “Efficient View Maintenance at Data Warehouses,” In Proceedings of the ACM SIGMOD’ 97, pp. 417–427, 1997.
B. Boehm, P. Bose, E Horowitz and M. J. Lee, “Software Requirements Negotiation and Renegotiation Aids: A Theory-W Based Spiral Approach,” In IEEE Proceedings of the 17th ICSE Conference, 1995.
P. Bose and Z. Xiaoqing, “WinWin Decision Model Based Coordination,” International Joint Conference on Work Activities Coordination and Collaboration,” 1999.
W. R. Collins et. al., “How Good is Good Enough?” Communications of the ACM, pp. 81–91, January 1994.
E. H. Durfee, V. R. Lesser, and D. D. Corkill, “Cooperation Through Communication in a Distributed Problem Solving Network,” In M. N. Huhns ed., Distributed Artificial Intelligence, Chapter 2, 29–58.
J. Farley, “Java Distributed Computing,” O’Reilly Press, 1998.
R. Fisher and W. Ury, “Getting to Yes,” Houghton-Mifflin, 1981. Also Penguin Books, 1983.
R. Hull and G. Zhou, A Framework for Supporting Data Integration Using the Materialized and Virtual Approaches. In Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 481–492, June 1996.
G. Karsai and J. Sztipanovits, “A Model-Based Approach to Self-Adaptive Software,” IEEE Intelligent Systems, volume 14, number 3, May/June 1999.
M. Kokar, K. Baclawski, and Y. Eracar, “Control Theory-Based Foundations of Self-Controlling Software,” IEEE Intelligent Systems, volume 14, number 3, May/June 1999.
R. Laddaga, “Creating Robust Software Through Self-Adaption,” IEEE Intelligent Systems, volume 14, number 3, May/June 1999.
T. W. Malone and K. Crowston, “The Interdisciplinary Study of Coordination,” ACM Computing Surveys, Vol. 26, No. 1, pp. 87–119, Mar. 1994.
D. J. Musliner, R. P. Goldman, M. J. Pelican, and K. D. Krebsbach, “Self-Adaptive Software for Hard Real-Time Environments,” IEEE Intelligent Systems, volume 14, number 4, July/August 1999.
J. F. Nash, “The Bargaining Problem,” Econometrica 28, pp. 155–162, 1950.
J. F. Nunamaker, A. R. Dennis, J. S. Valacich and D. R. Vogel, “Information Technology for Negotiating Groups: Generating Options for Mutual Gain,” Management Science, October 1991.
P. Oreizy, N. Medvidovic, and R. N. Taylor, “Architecture-based Runtime Evolution,” In Proceedings of ICSE 1998.
P. Oreizy et. al., “An Architecture Based Approach to Self-Adaptive Software,” IEEE Intelligent Systems, volume 14, number 3, May/June 1999.
M. J. Osborne and A. Rubinstein, “A Course in Game Theory,” MIT Press, MA, 1994.
M. Porter, “Competitive Strategy: Techniques for Analyzing Industries and Competitors,” Free Press, NY, 1980.
H. Raiffa, “The Art and Science of Negotiation”, Harvard University Press, Cambridge, MA, 1982
P. Robertson and J. M. Brady, “Adaptive Image Analysis for Aerial Surveillance,” IEEE Intelligent Systems, volume 14, number 3, May/June 1999.
R. G. Smith, “The Contract Net Protocol: High-level Communication and Control in a Distributed Problem Solver,” IEEE Transactions on Computers, 29, pp. 1104–1113, 1980.
K. P. Sycara, “Resolving Goal Conflicts Via Negotiation,” In Proceedings of AAAI, pp. 245–250, 1988.
M. P. Wellman, “A General Equilibrium Approach to Distributed Transportation Planning,” In Proceedings of AAAI-92, San Jose, CA 1992.
T. Winograd, “Bringing Design to Software,” Addison Wesley Publishers, 1996.
Y. Zhuge, H. Garcia-Molina, J. Hammer, and J. Widom. View Maintenance in a Warehouse Environment. In Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 316–327, May 1995.
Y. Zhuge, H. Garcia-Molina, and J. Wiener, “The Strobe Algorithms for Multi-Source Warehouse Consistency,” In Proceedings of the International Conference on Parallel and Distributed Information Systems, December 1996.
G. Zlotkin, and J. S. Rosenschein, “Mechanism Design for Automated Negotiation and Its Application to Task Oriented Domains,” Artificial Intelligence, Vol. 86, pp. 195–244, 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bose, P., Matthews, M.G. (2000). Coordination of View Maintenance Policy Adaptation Decisions: A Negotiation-Based Reasoning Approach. In: Robertson, P., Shrobe, H., Laddaga, R. (eds) Self-Adaptive Software. IWSAS 2000. Lecture Notes in Computer Science, vol 1936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44584-6_10
Download citation
DOI: https://doi.org/10.1007/3-540-44584-6_10
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41655-5
Online ISBN: 978-3-540-44584-5
eBook Packages: Springer Book Archive