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Reputation mechanism is critical for a distributed service environment. A customer can select the optimal services to compose a value-added composite service based on services' reputation values. After executing (either successfully or unsuccessfully) a composite service, a customer gives a feedback to the composite service. Then the composite service needs to propagate perception of customer's feedback...
Cloud computing often uses a multi-tenant architecture where tenants share application and system software. Request prioritization presents a challenge in this architecture. Tenant may have individual (local) prioritization requirements, and these requirements can be different for different tenants. The shared application must use a global priority scheme for requests from all the tenants. This paper...
We present a service resource selection and scheduling approach capable of maximizing the resource utilization rate (RUT) and the requirement satisfaction degree (RSD) by bundling multiple customer requirements (CRs). In traditional approaches, each CR is optimally satisfied by independently selecting a set of candidate service resources. This possibly leads to a low RUT and low RSD. In our approach,...
Service-Oriented Architecture (SOA) provides a flexible architecture for service composition. Service composition can be integrated by atomic Web services developed independently by their providers. With increasing number of alternative services that implement similar functionality but provide different non-functional (QoS) characteristics, service composition becomes a service selection problem....
A promising way to guarantee dependability of service-based systems (SBSs) is replanning service bindings dynamically with the environment changing. As embedded into system execution, such replanning process will directly affect the overall performance of SBSs. While various replanning techniques have been proposed up to now, it is still challenging that how to provide cost-effective replanning methods...
In service-oriented computing, service consumers invoke services deployed by service providers, and service providers are liable to manage the quality of their services including scalability, availability and performance. Especially, scalability is hard to achieve, mainly due to the unknown nature of service consumers and unpredictable volumes of service invocations. Services with poor scalability...
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