SLA-Based Service Composition in Enterprise Computing
Kaiqi Xiong, Harry G. Perros
Abstract
Kaiqi Xiong, Harry G. Perros
Abstract
The composition of services has been a useful approach to integrating business applications within and across organizational boundaries. In this approach, individual services are federated into composite services which are able to execute a given task subject to a service level agreement (SLA). An SLA is a contract agreed between a customer and a service provider who define a set of several quality of services (QoS). An SLA violation penalty is a way to ensure the credibility of an advertised SLA by a service provider. In this paper, we consider a set of computer resources used by a service broker who represents service providers to host enterprise applications for differentiated customer services subject to an SLA and its violation penalty. We present a novel framework for a QoS-constrained resource provisioning problem, and propose a capacity planning approach to optimizing computer resources for all service sites owned by service providers subject to multiple QoS metrics defined in the SLA and their violation penalties. Simulation results show that the proposed approach is efficient for reliable resource planning in service composition.
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The composition of services has been a useful approach to integrating business applications within and across organizational boundaries. In this approach, individual services are federated into composite services which are able to execute a given task subject to a service level agreement (SLA). An SLA is a contract agreed between a customer and a service provider who define a set of several quality of services (QoS). An SLA violation penalty is a way to ensure the credibility of an advertised SLA by a service provider. In this paper, we consider a set of computer resources used by a service broker who represents service providers to host enterprise applications for differentiated customer services subject to an SLA and its violation penalty. We present a novel framework for a QoS-constrained resource provisioning problem, and propose a capacity planning approach to optimizing computer resources for all service sites owned by service providers subject to multiple QoS metrics defined in the SLA and their violation penalties. Simulation results show that the proposed approach is efficient for reliable resource planning in service composition.
Key concepts: Service level objective, Service-level agreement, Computer science, Service provider, Differentiated service, Quality of service, Business service provider, Mobile QoS