ZOOM is an SDN based approach for elephant detection in SDN enabled networks. The idea is to split the IP address space into sections that are iteratively refined until only the largest flows remain. These are then returned as elephant flows.
A proof-of-concept implementation and basic evaluation has already been performed in the paper ZOOM: Lightweight SDN-based Elephant Detection.
%0 Thesis
%1 info3-master-2016-6
%A Sträßer, Martin
%D 2017
%K i3thesis ngn SDN Monitoring
%T SDN-based Elephant Detection
%X ZOOM is an SDN based approach for elephant detection in SDN enabled networks. The idea is to split the IP address space into sections that are iteratively refined until only the largest flows remain. These are then returned as elephant flows.
A proof-of-concept implementation and basic evaluation has already been performed in the paper ZOOM: Lightweight SDN-based Elephant Detection.
@mastersthesis{info3-master-2016-6,
abstract = {ZOOM is an SDN based approach for elephant detection in SDN enabled networks. The idea is to split the IP address space into sections that are iteratively refined until only the largest flows remain. These are then returned as elephant flows.
A proof-of-concept implementation and basic evaluation has already been performed in the paper \emph{ZOOM: Lightweight SDN-based Elephant Detection}.},
added-at = {2016-06-07T13:40:58.000+0200},
author = {Sträßer, Martin},
biburl = {https://www.bibsonomy.org/bibtex/2f6607d9dcad5a1fae0d2390dd5772592/uniwue_info3},
interhash = {a71f822ff275765f19129842376a44dc},
intrahash = {f6607d9dcad5a1fae0d2390dd5772592},
keywords = {i3thesis ngn SDN Monitoring},
school = {University of Würzburg},
timestamp = {2022-03-14T00:08:43.000+0100},
title = {SDN-based Elephant Detection},
year = 2017
}