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Penalty Based Mathematical Models for Web Service Composition in a Geo-Distributed Cloud Environment
Published in Institute of Electrical and Electronics Engineers Inc.
2017
Pages: 886 - 889
Abstract
In service oriented architecture, workflow discovery and web service composition (WSC) are two major challenges and many works have been carried out in the recent years. In this work, we address the problem of WSC in a multi-cloud environment. All existing methods assume that a feasible solution exists and solves the WSC problem, however when user constraints are hard, a feasible solution might not exist and models fail to return an optimal solution. To address this problem, we propose an Integer Linear programming model where violations in global constraints are permitted but with an associated penalty. The results show that our method performs significantly better than the standard method when user constraints are hard. © 2017 IEEE.
About the journal
JournalData powered by TypesetProceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
Open AccessNo
Concepts (15)
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    Information services
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    Integer programming
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    Mathematical models
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    Quality of service
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    Service oriented architecture (soa)
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    Websites
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    DISTRIBUTED CLOUDS
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    Feasible solution
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    GLOBAL CONSTRAINTS
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    INTEGER LINEAR PROGRAMMING MODELS
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    Optimal solutions
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    Qos attributes
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    USER CONSTRAINTS
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    WEB SERVICE COMPOSITION
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    Web services