Towards inter-cloud simulation performance analysis: Exploring service-oriented benchmarks of clouds in simic

On recent years, much effort has been put in analyzing the performance of large-scale distributed systems like grids, clouds and inter-clouds with respect to a diversity of resources and user requirements. A common way to achieve this is by using simulation frameworks for evaluating novel models prior to the development of solutions in highly cost settings. In this work we focus on the SimIC simulation toolkit as an innovative discrete event driven solution to mimic the inter-cloud service formation, dissemination, and execution phases, processes that are bundled in the inter-cloud meta-scheduling (ICMS) framework. Our work has meta-inspired characteristics as we determine the inter-cloud as a decentralized and dynamic computing environment where meta-brokers actas distributed management nodes for dynamic and real-time decision making in an identical manner. To this extend, we study the performance of service distributions among clouds based on a variety of metrics (e.g. execution time and turnaround) when different heterogeneous inter-cloud topologies are taking place. We also explore the behavior of the ICMS for different user submissions in terms of their computational requirements. The aim is to produce the results for a benchmark analysis of clouds in order to serve future research efforts on cloud and inter-cloud performance evaluation as benchmarks. The results are diverse in terms of different performance metrics. Especially for the ICMS, an increased performance tendency is observed when the system scales to massive user requests. This implies the improvement on scalability and service elasticity figures.