Abstract
Dynamic and heterogeneous service-oriented systems present challenges when developing composite applications that exhibit specified quality properties. Resource heterogeneity, mobility, and a large number of spatially distributed service providers complicate the process of composing complex applications with specified QoS requirements. This PhD project aims at enabling the efficient run-time generation of service compositions that share functionality, but differ in their trade-offs between multiple competing and conflicting quality objectives such as application response time, availability and consumption of resources. In this paper we present a research roadmap towards an approach for flexible service composition in dynamic and heterogeneous environments.
This work has been supported by the European FP7 Marie Curie Initial Training Network “RELATE” (Grant Agreement No. 264840).
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Keywords
- Service Composition
- Abstract Service
- Objective Function Evaluation
- Concrete Service
- Composite Application
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Efstathiou, D., McBurney, P., Zschaler, S., Bourcier, J. (2013). Exploring Optimal Service Compositions in Highly Heterogeneous and Dynamic Service-Based Systems. In: Ruhe, G., Zhang, Y. (eds) Search Based Software Engineering. SSBSE 2013. Lecture Notes in Computer Science, vol 8084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39742-4_30
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DOI: https://doi.org/10.1007/978-3-642-39742-4_30
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