Matching Service Requirements to Empirical Capability Models in Service-Oriented Architectures

The importance of reliably achieving quality of service (QoS) requirements in service-oriented architectures is constantly increasing. This trend has changed the characteristics that are needed from the service architectures, hosting environments and to the methods to create new services. To enable hosting services with strict QoS requirements, abilities to model service requirements, identify the capabilities of the hosting environment, and effectively match those for the wanted service configuration are needed. Many current methods build theoretical models of service requirements and capabilities of the hosting infrastructure. Based on our experience, using these in commercial systems is hard. In this paper, we highlight the key requirements for commercial service oriented architectures with strict latency requirements. We also propose using empirical models of the service infrastructure to provide accurate and reliable service configuration that will match the service requirements.