@inproceedings{9419da7e3b4e4c6d84f64a84ba39c8e0,
title = "DiscOF: Balanced flow discovery in openflow",
abstract = "Flexibility and extendibility of Software Defined Networks allows development of diverse network management and flow monitoring techniques. Yet, there are inherent tradeoffs between the quality of flow monitoring and the required network resources. In particular, collecting flow statistics, at the level of specific source-destination addresses (and, moreover, specific protocols and ports), requires too many flow table entries. This problem is emphasized by the difficulty of anticipating the individual flows that need to be monitored. In this paper we propose a method for dynamic flow discovery at any required spatial resolution. In addition, we propose a method for balancing the monitoring effort among the switches. These methods allow increasing the spatial resolution of traffic monitoring with minimal effects of the network performance.",
keywords = "Monitoring, Optimization, Software Defined Networks",
author = "Luiza Nacshon and Rami Puzis and Polina Zilberman",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2017 ; Conference date: 06-11-2017 Through 08-11-2017",
year = "2017",
month = dec,
day = "7",
doi = "10.1109/NFV-SDN.2017.8169823",
language = "English",
series = "2017 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2017",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "1--6",
booktitle = "2017 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2017",
address = "United States",
}