Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item A tree structure for Web service compositions(2009) D’Mello, D.A.; Ananthanarayana, V.S.The composition of Web services is gaining a considerable momentum as an approach to the effective integration of distributed, heterogeneous and autonomous applications to build more sophisticated and value added services. Algorithms are needed to select the best services for the individual tasks of the composition. QoS is an important criterion to select the best service for the tasks of composition. The objective of selection algorithm is to maximize the QoS of the composition based on the composite service provider's (CSP) QoS requirements. In this paper, we define the various business offers (service offers) of Web services. We classify the CSP's requirements defined on the QoS and service offers based on its structure. We propose a tree structure to represent the CSP's requirements defined on the multiple QoS properties and service offers involving AND and OR operators with varied preferences. © 2009 ACM.Item A review of QoS driven optimal selection of web services for compositions(2012) D’Mello, D.A.; Ananthanarayana, V.S.Web services technology promises to enable rich, flexible and dynamic interoperation of highly distributed and heterogeneous applications using Web standards. The providers of composite Web services involving composition plan with different flow patterns need to discover and select suitable candidate Web services for each task of the composition plan at runtime. The dynamic nature of Web services prompts a need for the mechanism to enable the frequent editing of QoS offers of composite Web services by the Composite Service Providers (CSP). In this paper, the authors present a detailed survey of literature in QoS based selection for Web service compositions. The paper also presents different architectures for QoS aware Web service compositions and evaluates various QoS aware selection techniques. The authors classify QoS aware selection techniques for composition based on the nature of composition plan, complexity of QoS requirements and nature of techniques/methodology used in the selection and QoS aggregation. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2012.