Name
Title | ||
|---|---|---|
Towards Inter-cloud Simulation Performance Analysis: Exploring Service-Oriented Benchmarks of Clouds in SimIC |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WAINA.2013.196 | AINA Workshops |
Keywords | Field | DocType |
increased performance tendency,real-time decision making,heterogeneous intercloud topology,meta-broker,inter-cloud,simulation framework,inter-cloud service formation,service distribution,scheduling,execution phase,simic,intercloud meta-scheduling frmework,innovative discrete event driven solution,user submission,meta-inspired characteristics,distributed management node,icms,cloudsim,cloud benchmarks,resource allocation,simic simulation toolkit,meta-brokering resource management,grid,different heterogeneous inter-cloud topology,large-scale distributed system,service-oriented benchmark,inter-cloud performance evaluation,intercloud service formation,intercloud simulation performance analysis,massive user request,decentralized computing environment,different user submission,dynamic computing environment,dynamic decision making,service-oriented benchmarks,user requirement,service elasticity figure,computational requirement,dissemination phase,cloud computing,different performance metrics,towards inter-cloud simulation performance,performance metrics,icms framework,inter-cloud meta-scheduling,computational modeling,real time systems,market research,dynamic scheduling,benchmark testing,resource management | Computer science,Resource allocation,Dynamic priority scheduling,User requirements document,Distributed management,Benchmark (computing),CloudSim,Distributed computing,Cloud computing,Scalability | Conference |
ISBN | Citations | PageRank |
978-0-7695-4952-1 | 7 | 0.48 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stelios Sotiriadis | 1 | 429 | 41.85 |
| Bessis, N. | 2 | 806 | 88.01 |
| Nick Antonopoulos | 3 | 531 | 48.72 |