Efficient skyline-based web service composition with QoS-awareness and budget constraint

Permadi, Vynska Amalia; Santoso, Bagus Jati

doi:10.1109/icoiact.2018.8350806

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…In Reference 47, the authors present a service composition method that takes into account the different QoS users preferences with reference to the budget constraints. This method consists of computing of dynamic skylines using sort and limit skyline algorithm.…”

Section: State‐of‐the‐artmentioning

confidence: 99%

Web service selection and composition based on uncertain quality of service

Yasmina

Fethallah

Fadoua

2021

Concurrency and Computation

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Web services are becoming a major utility for accomplishing complex tasks over the Internet. In practice, the end‐users usually search for Web service compositions that best meet the quality of service (QoS) requirements (i.e., QoS global constraints). Since the number of services is constantly increasing and their respective QoS is inherently uncertain (due to environmental conditions), the task of selecting optimal compositions becomes more challenging. To tackle this problem, we propose a heuristic based on majority judgment that allows for reducing the search space. In addition, we perform a constraint programming search to select the Top K compositions that fulfill the QoS global constraints. The experimental results demonstrate the high performance of our approach.

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Section: State‐of‐the‐artmentioning

confidence: 99%