Building Dynamic Models of Service Compositions with Simulation of Provision Resources

Abstract

Abstract. Efficient and competitive provision of service compositions depends both on the composition structure, and on planning and management of computational resources necessary for provision. Resource constraints on the service provider side have impact on the provision of composite services and can cause violations of predefined SLA criteria. We propose a methodology for modeling dynamic behavior of provider-side orchestration provision systems, based on the structure of orchestrations that are provided, their interaction, statistically estimated run-time parameters (such as running time) based on log traces, and the model of resources necessary for orchestration provision. We illustrate the application of our proposed methodology on a non-trivial real world example, and validate the approach using a simulation experiment.

Research challenges on online service quality prediction for proactive adaptation

“…They use the service composition structure of the system as a basis to forecast QoS deviations by mapping it to a constraint satisfaction problem (CSP) [20] • Simulation-based approaches, as presented in [21], [22], execute dynamic models of the service-oriented systems to simulate their future behavior. Those approaches mostly resort to discrete event simulation tools [23].…”

Analysis of service-oriented computing systems

“…While not described in this thesis, our work [ITCD10] has explored the QoS analysis from the point of view of a service provider, and not one, but potentially many concurrently executing service (composition) instances, that use the common pro-155 vision infrastructure, and are thus constrained by its capacity. This aspect of QoS planning from the point of the provider naturally complements the instance-based (i.e., user-centric) perspective on QoS prediction and adaptation.…”