Title :
OpenSample: A Low-Latency, Sampling-Based Measurement Platform for Commodity SDN
Author :
Junho Suh ; Kwon, Ted Taekyoung ; Dixon, Colin ; Felter, Wes ; Carter, Jenny
Author_Institution :
Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea
fDate :
June 30 2014-July 3 2014
Abstract :
In this paper we propose, implement and evaluate OpenSample: a low-latency, sampling-based network measurement platform targeted at building faster control loops for software-defined networks. OpenSample leverages sFlow packet sampling to provide near-real-time measurements of both network load and individual flows. While OpenSample is useful in any context, it is particularly useful in an SDN environment where a network controller can quickly take action based on the data it provides. Using sampling for network monitoring allows OpenSample to have a 100 millisecond control loop rather than the 1-5 second control loop of prior polling-based approaches. We implement OpenSample in the Floodlight Open Flow controller and evaluate it both in simulation and on a test bed comprised of commodity switches. When used to inform traffic engineering, OpenSample provides up to a 150% throughput improvement over both static equal-cost multi-path routing and a polling-based solution with a one second control loop.
Keywords :
computer networks; program control structures; telecommunication network routing; telecommunication traffic; Floodlight open flow controller; OpenSample; SDN environment; commodity SDN; commodity switches; control loops; low-latency sampling-based network measurement platform; near-real-time measurements; network controller; network load; network monitoring; polling-based approaches; sFlow packet sampling; software-defined networks; static equal-cost multipath routing; throughput improvement; traffic engineering; Control systems; Maximum likelihood estimation; Monitoring; Network topology; Ports (Computers); Radiation detectors; Throughput; Data Center; Measurement; Packet Sampling; Software Defined Networking; Traffic Engineering; sFlow;
Conference_Titel :
Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4799-5168-0
DOI :
10.1109/ICDCS.2014.31