A Simulation-Based Framework for Autonomic Web Services

A Discrete-Events Simulation Approach for Evaluation of Service-Based Applications

“…Simulating Web processes for performance evaluation is a research area with little previous work. Works in simulation that are the closest to ours are described by [9] [3] [6]. [9] proposes a model-theoretic semantics as well as distributed operational semantics that can be used for simulation, validation, verification, automated composition and enactment of DAML-S-described SBAs.…”

“…In contrast to our approach, both [9] [3] don't consider execution environment information in simulation model. [6] presents a framework, named MAWeS (MetaPL/HeSSE Autonomic Web Services) whose aim is to support the development of self-optimizing predictive autonomic systems for WS architectures. It adopts a simulation-based methodology, which allows predicting system QoS in different status and load conditions.…”

Simulation-based optimization of multiple-task GRID applications

“…In particular, in two previous papers dealing with performance optimization [14,23] we have proposed the use of two new elements, to be inserted in the Mapping section: Parameter and Target. These are used to provide an optimization tool with the parameters that affect the application performance and map the abstract process structure onto the computing system, respectively.…”

Self-optimization of MPI Applications Within an Autonomic Framework

“…They introduce the Autonomic tag, included in Mapping element, which describes the target simulation configurations that can be used for application execution. Further details on MAWeS can be found in [7,8]. Fig.…”

“…We have contributed to this research field with a prototype framework, MAWeS [7,8,9], which allows running applications to self-tune querying an optimization engine using a web services interface. Unlike most autonomic system existing today, MAWeS optimizations are not based on reactive autonomicity, i.e., on feedback control.…”