Distributed and Parallel Databases
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Quality driven web services composition
WWW '03 Proceedings of the 12th international conference on World Wide Web
Declarative Composition and Peer-to-Peer Provisioning of Dynamic Web Services
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Improving the QoS of WS Compositions Based on Redundant Services
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
A Failure-Aware Model for Estimating and Analyzing the Efficiency of Web Services Compositions
PRDC '05 Proceedings of the 11th Pacific Rim International Symposium on Dependable Computing
Journal of Systems and Software
A Stochastic Programming Approach for QoS-Aware Service Composition
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Multiobjective Optimization of SLA-Aware Service Composition
SERVICES '08 Proceedings of the 2008 IEEE Congress on Services - Part I
Optimal Web Service Selection based on Multi-Objective Genetic Algorithm
ISCID '08 Proceedings of the 2008 International Symposium on Computational Intelligence and Design - Volume 01
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
Optimizing Causal Link Based Web Service Composition
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
An Efficient Approach for Service Process Reconfiguration in SOA with End-to-End QoS Constraints
CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
A Probabilistic Approach to Service Selection with Conditional Contracts and Usage Patterns
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Selecting skyline services for QoS-based web service composition
Proceedings of the 19th international conference on World wide web
QoS-aware service composition in dynamic service oriented environments
Middleware'09 Proceedings of the ACM/IFIP/USENIX 10th international conference on Middleware
jMetal: A Java framework for multi-objective optimization
Advances in Engineering Software
QoS-Aware Automatic Service Composition by Applying Functional Clustering
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
Bridging the Gap between Semantic Web Service Composition and Common Implementation Architectures
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
Improving PSO-Based multi-objective optimization using crowding, mutation and ∈-dominance
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Applying qos-aware service selection on functionally diverse services
ICSOC'11 Proceedings of the 2011 international conference on Service-Oriented Computing
A flexible approach for considering interdependent security objectives in service composition
Proceedings of the 28th Annual ACM Symposium on Applied Computing
QoS-aware web services composition using GRASP with Path Relinking
Expert Systems with Applications: An International Journal
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Web service composition provides a means of customized and flexible integration of service functionalities. Quality-of-Service (QoS) optimization algorithms select services in order to adapt workflows to the non-functional requirements of the user. With increasing number of services in a workflow, previous approaches fail to achieve a sufficient reliability. Moreover, expensive ad-hoc replanning is required to deal with service failures. The major problem with such sequential application of planning and replanning is that it ignores the potential costs during the initial planning and they consequently are hidden from the decision maker. Our basic idea to overcome this substantial problem is to compute a QoS optimized selection of service clusters that includes a sufficient number of backup services for each service employed. To support the human decision maker in the service selection task, our approach considers the possible repair costs directly in the initial composition. On the basis of a multi-objective approach and using a suitable service selection interface, the decision maker can select compositions in line with his/her personal risk preferences.