Optimization as an Internet Resource
Interfaces
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Inventory Decisions in Dell's Supply Chain
Interfaces
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
A probabilistic approach to modeling and estimating the QoS of web-services-based workflows
Information Sciences: an International Journal
Probabilistic QoS and Soft Contracts for Transaction-Based Web Services Orchestrations
IEEE Transactions on Services Computing
Combining global optimization with local selection for efficient QoS-aware service composition
Proceedings of the 18th international conference on World wide web
On automated generation of web service level agreements
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Assessing Software Service Quality and Trustworthiness at Selection Time
IEEE Transactions on Software Engineering
Optimization Services: A Framework for Distributed Optimization
Operations Research
Best web service selection based on the decision making between qos criteria of service
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
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Web services orchestrations conventionally employ exhaustive comparison of runtime quality of service (QoS) metrics for decision making. The ability to incorporate more complex mathematical packages are needed, especially in case of workflows for resource allocation and queuing systems. By modeling such optimization routines as service calls within orchestration specifications, techniques such as linear programming can be conveniently invoked by non-specialist workflow designers. Leveraging on previously developed QoS theory, we propose the use of a high-level flexible query procedure for embedding optimizations in languages such as Orc. The Optima site provides an extension to the sorting and pruning operations currently employed in Orc. Further, the lack of an objective technique for consolidating QoS metrics is a problem in identifying suitable cost functions. We employ the analytical hierarchy process (AHP) to generate a total ordering of QoS metrics across various domains. With constructs for ensuring consistency over subjective judgements, the AHP provides a suitable technique for producing objective cost functions. Using the Dell Supply Chain example, we demonstrate the feasibility of decision making through optimization routines, specially when the control flow is QoS dependent.