DocumentCode :
2320677
Title :
Scalable Multi-purpose Network Representation for Large Scale Distributed System Simulation
Author :
Bobelin, Laurent ; Legrand, Arnaud ; Marquez, David A. Gonzalez ; Navarro, Pierre ; Quinson, Martin ; Suter, Frédéric ; Thiery, C.
Author_Institution :
LIG, Grenoble Univ., Grenoble, France
fYear :
2012
fDate :
13-16 May 2012
Firstpage :
220
Lastpage :
227
Abstract :
Conducting experiments in large-scale distributed systems is usually time-consuming and labor-intensive. Uncontrolled external load variation prevents to reproduce experiments and such systems are often not available to the purpose of research experiments, e.g. production or yet to deploy systems. Hence, many researchers in the area of distributed computing rely on simulation to perform their studies. However, the simulation of large-scale computing systems raises several scalability issues, in terms of speed and memory. Indeed, such systems now comprise millions of hosts interconnected through a complex network and run billions of processes. Most simulators thus trade accuracy for speed and rely on very simple and easy to implement models. However, the assumptions underlying these models are often questionable, especially when it comes to network modeling. In this paper, we show that, despite a widespread belief in the community, achieving high scalability does not necessarily require to resort to overly simple models and ignore important phenomena. We show that relying on a modular and hierarchical platform representation, while taking advantage of regularity when possible, allows us to model systems such as data and computing centers, peer-to-peer networks, grids, or clouds in a scalable way. This approach has been integrated into the open-source SimGrid simulation toolkit. We show that our solution allows us to model such systems much more accurately than other state-of-the-art simulators without trading for simulation speed. SimGrid is even sometimes orders of magnitude faster.
Keywords :
digital simulation; distributed processing; large-scale systems; public domain software; computing centers; data centers; distributed computing; hierarchical platform representation; large scale distributed system simulation; modular platform representation; network modeling; open source SIMGRID simulation toolkit; peer-to-peer networks; scalability; scalable multipurpose network representation; Bandwidth; Computational modeling; Data models; Peer to peer computing; Protocols; Routing; Scalability; Grid computing; High-performance computing; Large-scale distributed systems; Peer-to-Peer; Simulation; Volunteer Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4673-1395-7
Type :
conf
DOI :
10.1109/CCGrid.2012.31
Filename :
6217425
Link To Document :
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