Latency monitoring in software-defined networks

Alaa M. Allakany, Koji Okamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Latency in a network is an important parameter that can be utilized by a variety of applications which required QoS policies. Recently, methods for monitoring latency have been introduced. Most of these methods monitor end-To-end path delay (per path) by sending probes requests along the path. These methods led to redundant work and network overhead, which resulting from monitoring multiple paths between each pair of nodes. Moreover, end-To-end probes cannot monitor the delay on path segments (per link) between arbitrary network devices. However, measuring per link delay is challenging. In this paper, we propose a method to measure per link delay in real-Time to efficiently apply QoS policies, our method does not require any complementary support from the switching hardware and can avoid redundant work and network overhead. We validate our method using the popular Mininet network emulation environment with Pox controller.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Future Internet Technologies, CFI 2017
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450353328
DOIs
Publication statusPublished - Jun 14 2017
Event12th International Conference on Future Internet Technologies, CFI 2017 - Fukuoka, Japan
Duration: Jun 14 2017Jun 16 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128772

Other

Other12th International Conference on Future Internet Technologies, CFI 2017
CountryJapan
CityFukuoka
Period6/14/176/16/17

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Allakany, A. M., & Okamura, K. (2017). Latency monitoring in software-defined networks. In Proceedings of the 12th International Conference on Future Internet Technologies, CFI 2017 [3095791] (ACM International Conference Proceeding Series; Vol. Part F128772). Association for Computing Machinery. https://doi.org/10.1145/3095786.3095791