A CRITICAL ANALYSIS OF SIMULATORS IN GRID

Authors

  • Omar Dakkak InterNetWorks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darulaman, Malaysia
  • Suki Arif InterNetWorks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darulaman, Malaysia
  • Shahrudin Awang Nor InterNetWorks Research Laboratory, School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah Darulaman, Malaysia

DOI:

https://doi.org/10.11113/jt.v77.6050

Keywords:

Grid, simulation, simulator, evaluation

Abstract

In parallel and distributed computing environment such as "The Grid", anticipating the behavior of the resources and tasks based on certain scheduling algorithm is a great challenging. Thus, studying and improving these types of environments becomes very difficult. Out of this, the developers have spent remarkable efforts to come up with simulators which facilitate the studies in this domain. In addition, these simulators have a significant role in enhancing and proposing many scheduling algorithms, and this in turn has reflected efficiently on the Grid. In this paper, we will present some of these tools, which are: GridSim for large scales distributed computing and parallel environment, Alea for tackling dynamic scheduling problems, Sim-G-Batch grid simulator for simulating the security and energy concept and Balls simulator for evaluation peer-to-peer with integrated load balancing algorithm. Furthermore, this paper aims to guide and assist the researcher to choose the proper tool that can fit the studied research area, by providing functionality analysis for the reviewed simulators..

References

L. F. Perrone, "Modeling And Simulation Best Practices For Wireless Ad Hoc Networks," in Simulation Conference, 2003. Proceedings of the 2003 Winter, 2003. 685-693.

E. Weingärtner, H. Vom Lehn, and K. Wehrle, "A Performance Comparison Of Recent Network Simulators," in Communications, 2009. ICC'09. IEEE International Conference on, 2009. 1-5.

J.-Y. Le Boudec. 2010. Performance Evaluation Of Computer And Communication Systems: EPFL Press

J. Mo, 2010. "Performance Modeling Of Communication Networks With Markov Chains," Synthesis Lectures on Data Management. 3: 1-90

M. R. K. Grace, S. S. Priya, and S. Surya, "A Survey on Grid Simulators."

D. KlusáÄek and H. Rudová. 2010. "Alea 2: Job Scheduling Simulator," in Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques. 61.

Y. Huang, A. Brocco, M. Courant, B. Hirsbrunner, and P. Kuonen. 2009. "Magate Simulator: A Simulation Environment For A Decentralized Grid Scheduler," in Advanced Parallel Processing Technologies, ed: Springer. 273-287.

J. Kołodziej, S. U. Khan, L. Wang, M. Kisiel-Dorohinicki, S. A. Madani, E. 2014. Niewiadomska-Szynkiewicz, et al., "Security, Energy, And Performance-Aware Resource Allocation Mechanisms For Computational Grids," Future Generation Computer Systems. 31: 77-92.

R. S. T. Fahringer, Robert Walter. 2006."Simulating The Grid,"

H. Casanova. 2005."Grid Performance Workshop,"

R. Buyya and M. Murshed. 2002."Gridsim: A Toolkit For The Modeling And Simulation Of Distributed Resource Management And Scheduling For Grid Computing," Concurrency And Computation: Practice And Experience.14: 1175-1220

F. Xhafa, J. Carretero, L. Barolli, and A. Durresi. 2007. "Requirements For An Event-Based Simulation Package For Grid Systems," Journal of Interconnection Networks. 8: 163-178

V.-D. Le, G. Babin, and P. Kropf. 2006. "Balls Simulator: Evaluator Of A Structured Peer-To-Peer System With Integrated Load Balancing,â€" Research, Innovation and Vision for the Future (RIVF’06), Ho Chi Minh City, Vietnam,

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Published

2015-11-01

How to Cite

A CRITICAL ANALYSIS OF SIMULATORS IN GRID. (2015). Jurnal Teknologi (Sciences & Engineering), 77(4). https://doi.org/10.11113/jt.v77.6050