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Most of the current research work on web service selection has only considered the selection problem from the perspective of one party – service users. The selection model usually tries to find services which can optimize the user requirements. However, a service marketplace serves multiple parties, including both service users and providers. Thus, it is important to consider multiple parties when...
QoS-based service selection has been an active research area in both Service Computing and Cloud Computing communities in recent years. One of the obstacles for many researchers is lack of benchmark QoS datasets, especially for cloud service selection. In this paper, we propose a testbed system which can be used to collect the QoS data for software services hosted in the cloud. We mainly focus on...
In order to choose from a list of functionally similar services, users often need to make their decisions based on multiple QoS criteria they require on the target service. In this process, different users may follow different decision making strategies, some are compensatory in which only an overall value on all the criteria is evaluated, some evaluate one criterion at a time in the order of their...
In order to choose from a list of functionally similar services, users often need to make their decisions based on multiple non-functional criteria they require on the target service. It is a natural fit to apply the Multi-Criteria Decision Making (MCDM) theory to this selection problem. However, the high demand of MCDM approaches on user expertise and user involvement could become an obstacle of...
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