Solution reuse in dynamic constraint satisfaction problems
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Asynchronous Search with Aggregations
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Intelligent Domain Splitting for CSPs with Ordered Domains
CP '99 Proceedings of the 5th International Conference on Principles and Practice of Constraint Programming
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
QoS Aggregation for Web Service Composition using Workflow Patterns
EDOC '04 Proceedings of the Enterprise Distributed Object Computing Conference, Eighth IEEE International
Asynchronous aggregation and consistency in distributed constraint satisfaction
Artificial Intelligence - Special issue: Distributed constraint satisfaction
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There has been recently an increase of interests in Distributed Constraint Satisfaction (DisCSP) algorithms. Most of these algorithms assume that the set of variables and constraints in a DisCSP are completely known and fixed. However, these assumptions do not hold in many open environments where unexpected events and changes can happen. Therefore this issue needs to be addressed in order for a DisCSP algorithm to be practically used in real life applications. Our contribution in this paper is two-fold. Firstly, we present an extended version of the Asynchronous Aggregate Search (AAS), called the Dynamic Asynchronous Aggregate Search (DynAAS) - as a new algorithm for dynamic and uncertain environments. Secondly, we investigate the applicability of DynAAS in the Web service domain and argue that DynAAS is suitable for solving the QoS compositions of Web services. We also carry out the experiments to show the efficiency of our proposed algorithm in solving the QoS composition problem.