Data networks
The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Promoting the use of end-to-end congestion control in the Internet
IEEE/ACM Transactions on Networking (TON)
MPI-The Complete Reference, Volume 1: The MPI Core
MPI-The Complete Reference, Volume 1: The MPI Core
Bandwidth sharing: objectives and algorithms
IEEE/ACM Transactions on Networking (TON)
Computing in Science and Engineering
Overview of a Performance Evaluation System for Global Computing Scheduling Algorithms
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Some Observations on Fairness of Bandwidth Sharing
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
The Georgia Tech Network Simulator
MoMeTools '03 Proceedings of the ACM SIGCOMM workshop on Models, methods and tools for reproducible network research
Dynamic scheduling II: fast simulation model for grid scheduling using HyperSim
Proceedings of the 35th conference on Winter simulation: driving innovation
Traffic-based Load Balance for Scalable Network Emulation
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Scalability and accuracy in a large-scale network emulator
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
GangSim: a simulator for grid scheduling studies
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
On incorporating differentiated levels of network service into GridSim
Future Generation Computer Systems
The MicroGrid: A scientific tool for modeling Computational Grids
Scientific Programming
Speed and accuracy of network simulation in the SimGrid framework
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
SimGrid: A Generic Framework for Large-Scale Distributed Experiments
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
Fast and scalable simulation of volunteer computing systems using SimGrid
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Modeling and experimental validation of the data handover API
GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
Parallel Simulation of Peer-to-Peer Systems
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Scalable Multi-purpose Network Representation for Large Scale Distributed System Simulation
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
On the validity of flow-level tcp network models for grid and cloud simulations
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Distributed computing is a very broad and active research area comprising fields such as cluster computing, computational grids, desktop grids and peer-to-peer (P2P) systems. Studies in this area generally resort to simulations, which enable reproducible results and make it possible to explore wide ranges of platform and application scenarios. In this context, network simulation is certainly the most critical part. Many packet-level network simulators are available and enable high-accuracy simulation but they lead to prohibitively long simulation times. Therefore, many simulation frameworks have been developed that simulate networks at higher levels, thus enabling fast simulation but losing accuracy. One such framework, SimGrid, uses a flow-level approach that approximates the behavior of TCP networks, including TCP's bandwidth sharing properties. A preliminary study of the accuracy loss by comparing it to popular packet-level simulators has been proposed in [11] and in which regimes in which SimGrid's accuracy is comparable to that of these packet-level simulators are identified. In this article we come back on this study, reproduce these experiments and provide a deeper analysis that enables us to greatly improve SimGrid's range of validity.