FPGEN: A fast, scalable and programmable traffic generator for the performance evaluation of high-speed computer networks

Sanli, Mustafa
Schmidt, Şenan Ece
Guran, Hasan Cengiz
Testing today's high-speed network equipment requires the generation of network traffic which is similar to the real Internet traffic at Gbps line rates. There are many software-based traffic generators which can generate packets according to different stochastic distributions. However, they are not suitable for high-speed hardware test platforms. This paper describes FPGEN (Fast Packet GENerator), a programmable random traffic generator which is entirely implemented on FPGA (Field Programmable Gate Array). FPGEN can generate variable packet sizes and traffic with Poisson and Markov-modulated on-off statistics at OC-48 rate per interface. Our work that is presented in this paper includes the theoretical design of FPGEN, the hardware design of the FPGA-based traffic generator board (printed circuit board design and construction) and the implementation of FPGEN on FPGA. Our experimental study demonstrates that FPGEN can achieve both the desired rate and statistical properties for the generated traffic.


Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison
Soysal, Murat; Schmidt, Şenan Ece (Elsevier BV, 2010-06-01)
The task of network management and monitoring relies on an accurate characterization of network traffic generated by different applications and network protocols. We employ three supervised machine learning (ML) algorithms, Bayesian Networks, Decision Trees and Multilayer Perceptrons for the flow-based classification of six different types of Internet traffic including peer-to-peer (P2P) and content delivery (Akamai) traffic. The dependency of the traffic classification performance on the amount and composi...
IoT-enabled smart grid via SM: An overview
Al-Turjman, Fadi; Abujubbeh, Mohammad (Elsevier BV, 2019-07-01)
Power quality and reliability issues are big challenges to both service provider and consumers in conventional power grids. The ongoing technological advancements in the Internet of Things (IoT) era provide better solutions to enhance the management of these challenges and enforce the measures of a Smart Grid (SG). Advanced Metering Infrastructure (AMI) and Smart Metering (SM) technologies are enabler technologies that can modernize the conventional power grid through exposing the hidden details of electric...
Frame-counter scheduler: A novel QoS scheduler for real-time traffic
Schmidt, Şenan Ece (Elsevier BV, 2006-08-04)
Real-time traffic communication has Quality of Service (QoS) requirements such as end-to-end bandwidth and delay guarantees.
Path planning for mobile-anchor based wireless sensor network localization: Static and dynamic schemes
Erdemir, Ecenaz; Tuncer, Temel Engin (Elsevier BV, 2018-08-01)
In wireless sensor networks, node locations are required for many applications. Usually, anchors with known positions are employed for localization. Sensor positions can be estimated more efficiently by using mobile anchors (MAs). Finding the best MA trajectory is an important problem in this context. Various path planning algorithms are proposed to localize as many sensors as possible by following the shortest path with minimum number of anchors. In this paper, path planning algorithms for MA assisted loca...
Parallel and pipelined architectures for high speed ip packet forwarding
Erdem, Oğuzhan; Bazlamaçcı, Cüneyt Fehmi; Department of Electrical and Electronics Engineering (2011)
A substantial increase in the number of internet users and the traffic volume bring new challenges for network router design. The current routers need to support higher link data rates and large number of line cards to accommodate the growth of the internet traffic, which necessitate an increase in physical space, power and memory use. Packet forwarding, which is one of the major tasks of a router, has been a performance bottleneck in internet infrastructure. In general, most of the packet forwarding algori...
Citation Formats
M. Sanli, Ş. E. Schmidt, and H. C. Guran, “FPGEN: A fast, scalable and programmable traffic generator for the performance evaluation of high-speed computer networks,” PERFORMANCE EVALUATION, pp. 1276–1290, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38553.