Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
High performance TCP in ANSNET
ACM SIGCOMM Computer Communication Review
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Large Deviations for Small Buffers: An Insensitivity Result
Queueing Systems: Theory and Applications
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Fluid models and solutions for large-scale IP networks
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Distributed Network Simulations Using the Dynamic Simulation Backplane
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Rate-based versus queue-based models of congestion control
Proceedings of the joint international conference on Measurement and modeling of computer systems
Discrete event fluid modeling of background TCP traffic
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Why is the internet traffic bursty in short time scales?
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Part III: routers with very small buffers
ACM SIGCOMM Computer Communication Review
On the efficiency of fluid simulation of networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Network modelling and simulation
Time-scale decomposition and equivalent rate-based marking
IEEE/ACM Transactions on Networking (TON)
Mean FDE models for Internet congestion control under a many-flows regime
IEEE Transactions on Information Theory
IEEE Network: The Magazine of Global Internetworking
How to model a TCP/IP network using only 20 parameters
Proceedings of the Winter Simulation Conference
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Motivated by the scale and complexity of simulating large-scale networks, recent research has focused on hybrid fluid/packet simulators, where fluid models are combined with packet models in order to reduce simulation complexity as well as to track dynamics of end-sources accurately. However, these simulators still need to track the queuing dynamics of network routers, leading to considerable simulation complexity in a large-scale network model. In this paper, we propose a new hybrid simulator - FluNet - where queueing dynamics are not tracked, but instead, an equivalent rate-based model is used. The FluNet simulator is predicated on a fast-queueing regime at bottleneck routers, where the queue length fluctuates on a faster time-scale than end systems. This allows us to simulate large-scale systems, where the simulation ''time step-size'' is governed only by the time-scale of the end-systems, and not by that of the intermediate routers; whereas a queue-tracking based fluid simulator would require decreasingly smaller step-sizes as the system scale size increases. We validate our model using a ns-2 based implementation. Our results indicate a good match between packet systems and the associated FluNet system.