Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Understanding SOA with Web Services (Independent Technology Guides)
Understanding SOA with Web Services (Independent Technology Guides)
Business processes for web services: principles and applications
IBM Systems Journal
A statistical service composition approach based on hidden hierarchy Markov model
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
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Traditional web service orchestration is always implemented by business process work flow or I/O matching, just takingWhat services provide and How to provide. But this method will invoke some problems including too many composite results, inefficiency, and useless service composition without taking account of When and Where services are provided. Based on divide-and-conquer rule, this paper provides a clustering algorithm based on spatial & temporal aspects which are used to describe spatial and temporal attributes of services, so When and Where are provided for service composition. After composite services cluster by cluster, the whole complex service is created and is sure to satisfy the time and space constraints. Testing cases illustrate that complex traveling services can be created and is optimized to meet users' requests.