OpenNetMon: Network monitoring in OpenFlow Software-Defined Networks

By Niels L. M. van Adrichem, C. Doerr, F. Kuipers. IEEE/IFIP Network Operations and Management Symposium, 2014

457 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/d47bca3f9f8c86506ba842533990c2d6f2b91658

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Martin Reisslein
2. Nadir Shah
3. Rashid Amin

In Computer Networks and Communications

1. Martin Reisslein
2. Andreas Blenk
3. Nadir Shah
4. Arsany Basta
5. Rashid Amin
6. Wolfgang Kellerer

Citations in the corpus

• Survey on Network Virtualization Hypervisors for Software Defined Networking (2015, background): “The current statistics can serve as basis for network traffic estimation and monitoring [215]–[217] as well as dynamic adoptions by SDN applications and traffic engineering [218],”
• Security in Software Defined Networks: A Survey (2015, unknown): “The OpenNetMon [105] framework is proposed to monitor per-flow metrics, such as throughput, delay and packet loss, however, it can be used to provide flow statistics to security applications such as IDS and IPS etc.”
• Hybrid SDN Networks: A Survey of Existing Approaches (2018, methodology): “Different types of network measurement and monitoring tools, such as OpenSketch [378], Payless [379], planck [380], and Opennetmon [381], are available for pure SDN networks.”