MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  A study of networks simulation efficiency: Fluid simulation vs. packet-level simulation (2001) [40 citations — 0 self]

Download:
Download as a PDF | Download as a PS
by Benyuan Liu, Daniel R. Figueiredo, Yang Guo, Jim Kurose, Don Towsley
in Proceedings of IEEE Infocom
ftp://gaia.cs.umass.edu/pub/infocom00-fluid.ps.gz
Add To MetaCart

Abstract:

Abstract---Network performance evaluation through traditional packetlevel simulation is becoming increasingly difficult as today's networks grow in scale along many dimensions. As a consequence, fluid simulation has been proposed to cope with the size and complexity of such systems. This study focuses on analyzing and comparing the relative efficiencies of fluid simulation and packet-level simulation for several network scenarios. We use the "simulation event " rate to measure the computational effort of the simulators and show that this measure is both adequate and accurate. For some scenarios, we derive analytical results for the simulation event rate and identify the major factors that contribute to the simulation event rate. Among these factors, the "ripple effect " is very important since it can significantly increase the fluid simulation event rate. For a tandem queueing system, we identify the boundary condition to establish regions where one simulation paradigm is more efficient than the other. Flow aggregation is considered as a technique to reduce the impact of the "ripple effect " in fluid simulation. We also show that WFQ scheduling discipline can limit the "ripple effect", making fluid simulation particularly well suited for WFQ models. Our results show that tradeoffs between parameters of a network model determines the most efficient simulation approach. Keywords---fluid simulation, performance evaluation, traffic model

Citations

1409 A generalized processor sharing approach to flow control in integrated services network – Parekh - 1992
939 Analysis and Simulation of a Fair Queueing Algorithm – Demers, Keshav, et al. - 1989
319 Stochastic theory of a data-handling system with multiple sources – Anick, Mitra, et al. - 1982
79 Broadband Integrated Networks – Schwartz - 1996
75 Modeling the Global Internet – Cowie, Nicol, et al. - 1999
68 E ects of packet losses in waveform coded speech and improvements due to an odd-even sample-interpolation procedure – Jayant - 1981
28 Fluid simulation of large scale networks: issues and tradeoff – Liu, Guo, et al. - 1999
26 Packet network simulation: speedup and accuracy versus timing granularity – Ahn, Danzig - 1996
24 Time-driven fluid simulation for high-speed networks with flow-based routing – Yan, Gong - 1998
21 Fluid-based simulation of communication networks using SSF – Nicol, Goldsby, et al.
18 Restart: A straightforward method for fast simulation of rare events – Vill'en-Altamirano, Vill'enAltamirano - 1994
18 Feasibility of fluid-driven simulation for atm network – Kesidis, Singh, et al. - 1996
7 Estimation of end-to-end delay in high-speed networks by means of fluid model simulations – Ros, Marie - 1999
5 Loss characterization in highspeed networks through simulation of fluid models – Ros, Marie - 1999
1 Scalable simulation framework API reference manual," Documentation Draft – Consortium - 1999
1 On Fluid Modeling of Networks and Queues – Guo - 2000
1 URL http://wwwnrg. ee.lbl.gov/vat – Jacobson, McCanne