Managing process and service fusion in virtual enterprises
Information Systems - Special issue on information systems support for electronic commerce
Web Services Explained: Solutions and Applications for the Real World
Web Services Explained: Solutions and Applications for the Real World
Dynamic and adaptive composition of e-services
Information Systems - The 12th international conference on advanced information systems engineering (CAiSE 00)
Introduction to Algorithms
Heuristic Solutions for the Multiple-Choice Multi-dimension Knapsack Problem
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Quality adaptation in a multisession multimedia system: model, algorithms, and architecture
Quality adaptation in a multisession multimedia system: model, algorithms, and architecture
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
QoS-Aware Middleware for Web Services Composition - A Qualitative Approach
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Optimal Web Services Selection Using Dynamic Programming
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Fast Quality Driven Selection of Composite Web Services
ECOWS '06 Proceedings of the European Conference on Web Services
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
Solving the Multidimensional Multiple-choice Knapsack Problem by constructing convex hulls
Computers and Operations Research
Global and local qos guarantee in web service selection
BPM'05 Proceedings of the Third international conference on Business Process Management
Memetic algorithm for web service selection
Proceedings of the 3rd workshop on Biologically inspired algorithms for distributed systems
| Hi-index | 0.00 |
Composite Web Service selection is one of the most important issues in Web Service Composition. During the selection process, while the decision making during the selection process is much easy in the term of the functional properties of Web Service, it is very difficult in terms of the non-functional properties. In this paper, we investigate the problem of composite Web Service selection. We propose the utility function to be the evaluation standard as a whole by considering all QoS parameters of each component service based on the definition in [16]. We map the multi-dimensional QoS composite Web Service to the multi-dimensional multi-choice knapsack (MMKP). And we propose a fast heuristic algorithm with O(nlm+nl lgn) complexity for solving the problem.