Software Defined Networking (SDN) offers a holistic view of the network
through a centralized control plane. Consequently, routing decisions can be
made based on global knowledge about the network topology as well as its
current state. As long living flows are suitable candidates for rerouting,
their detection is crucial for efficient flow based traffic management.
This work proposes the ZOOM algorithm for elephant detection in SDN
networks. To this end, ZOOM follows a very lightweight approach that only
uses packet counters implemented by OpenFlow switches and thus does not
require any additional hardware. By exploiting this feature of OpenFlow
switches, ZOOM allows lightweight and cost-effective elephant detection.
%0 Conference Paper
%1 Gebert2016b
%A Gebert, Steffen
%A Geissler, Stefan
%A Zinner, Thomas
%A Nguyen-Ngoc, Anh
%A Lange, Stanislav
%A Tran-Gia, Phuoc
%B Programmability for Cloud Networks and Applications 2016 (PROCON 2016)
%C Würzburg, Germany
%D 2016
%K itc itc28
%T ZOOM: Lightweight SDN-based Elephant Detection
%U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Gebert2016b.pdf?inline=true
%X Software Defined Networking (SDN) offers a holistic view of the network
through a centralized control plane. Consequently, routing decisions can be
made based on global knowledge about the network topology as well as its
current state. As long living flows are suitable candidates for rerouting,
their detection is crucial for efficient flow based traffic management.
This work proposes the ZOOM algorithm for elephant detection in SDN
networks. To this end, ZOOM follows a very lightweight approach that only
uses packet counters implemented by OpenFlow switches and thus does not
require any additional hardware. By exploiting this feature of OpenFlow
switches, ZOOM allows lightweight and cost-effective elephant detection.
@inproceedings{Gebert2016b,
abstract = {Software Defined Networking (SDN) offers a holistic view of the network
through a centralized control plane. Consequently, routing decisions can be
made based on global knowledge about the network topology as well as its
current state. As long living flows are suitable candidates for rerouting,
their detection is crucial for efficient flow based traffic management.
This work proposes the ZOOM algorithm for elephant detection in SDN
networks. To this end, ZOOM follows a very lightweight approach that only
uses packet counters implemented by OpenFlow switches and thus does not
require any additional hardware. By exploiting this feature of OpenFlow
switches, ZOOM allows lightweight and cost-effective elephant detection. },
added-at = {2016-08-31T16:30:53.000+0200},
address = {Würzburg, Germany},
author = {Gebert, Steffen and Geissler, Stefan and Zinner, Thomas and Nguyen-Ngoc, Anh and Lange, Stanislav and Tran-Gia, Phuoc},
biburl = {https://www.bibsonomy.org/bibtex/267881ff6a7950c3c83372dcd1c02f93e/itc},
booktitle = {Programmability for Cloud Networks and Applications 2016 (PROCON 2016)},
days = {12},
interhash = {d08f56bed6e3cb979eeb40e8d3b97f87},
intrahash = {67881ff6a7950c3c83372dcd1c02f93e},
keywords = {itc itc28},
month = {Sept},
timestamp = {2020-05-26T16:53:35.000+0200},
title = {ZOOM: Lightweight SDN-based Elephant Detection},
url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Gebert2016b.pdf?inline=true},
year = 2016
}