Technometrics
Difficulties in simulating the internet
IEEE/ACM Transactions on Networking (TON)
IEEE Internet Computing
Realistic and responsive network traffic generation
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
The role of PASTA in network measurement
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Application-oriented network metrology: metrics and active measurement tools
IEEE Communications Surveys & Tutorials
Standardized active measurements on a tier 1 IP backbone
IEEE Communications Magazine
Flexible high performance traffic generation on commodity multi---core platforms
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
Unified architecture for network measurement: The case of available bandwidth
Journal of Network and Computer Applications
A tool for the generation of realistic network workload for emerging networking scenarios
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient Loss Inference Algorithm Using Unicast End-to-End Measurements
Journal of Network and Systems Management
Flexible, extensible, open-source and affordable FPGA-based traffic generator
Proceedings of the first edition workshop on High performance and programmable networking
| Hi-index | 0.25 |
Networking research often relies on synthetic traffic generation in its experimental activities; from generation of realistic workload to active measurements. Often researchers adopt software-based generators because of their flexibility. However, despite the increasing number of features (e.g., replication of complex traffic models), they are still suffering problems that can undermine the correctness of experiments: what is generated is sometimes far from what is requested by the operator. In this article, by analyzing four of the most used packet-level traffic generators in literature, we show how they fail to follow the requested profiles. Moreover, we identify and discuss key concepts affecting their accuracy as well as mechanisms commonly adopted to improve it. This contribution goes toward improving the knowledge researchers and practitioners should have of the tools used in experimental works, and at the same time illustrates some directions for the use and design of software-based traffic generators.