Introduction to IP and ATM Design and Performance: With Applications Analysis Software
Introduction to IP and ATM Design and Performance: With Applications Analysis Software
On the characteristics and origins of internet flow rates
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Queue Management for QoS Provision Build on Network Processor
FTDCS '03 Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems
Balancing performance and flexibility with hardware support for network architectures
ACM Transactions on Computer Systems (TOCS)
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Evaluating the number of active flows in a scheduler realizing fair statistical bandwidth sharing
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
NetFPGA--An Open Platform for Gigabit-Rate Network Switching and Routing
MSE '07 Proceedings of the 2007 IEEE International Conference on Microelectronic Systems Education
Does the Internet Still Demonstrate Fractal Nature?
ICN '09 Proceedings of the 2009 Eighth International Conference on Networks
A traffic manager for integrated queuing and scheduling of unicast and multicast IP traffic
ICT'09 Proceedings of the 16th international conference on Telecommunications
A Scalable and Programmable Modular Traffic Manager Architecture
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Packet-level traffic measurements from the Sprint IP backbone
IEEE Network: The Magazine of Global Internetworking
Converging the Evolution of Router Architectures and IP Networks
IEEE Network: The Magazine of Global Internetworking
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A queue manager (QM) is a core traffic management (TM) function used to provide per-flow queuing in access and metro networks; however current designs have limited scalability. An on-demand QM (OD-QM) which is part of a new modular field-programmable gate-array (FPGA)-based TM is presented that dynamically maps active flows to the available physical resources; its scalability is derived from exploiting the observation that there are only a few hundred active flows in a high speed network. Simulations with real traffic show that it is a scalable, cost-effective approach that enhances per-flow queuing performance, thereby allowing per-flow QM without the need for extra external memory at speeds up to 10 Gbps. It utilizes 2.3%-16.3% of a Xilinx XC5VSX50t FPGA and works at 111 MHz.