Abstract
In order to meet QoS demands from customers, currently, ISPs over-provision capacity. Networks need to continuously monitor performance metrics, such as bandwidth, packet loss etc., in order to quickly adapt forwarding rules in response to changes in the workload. The packet loss metric is also required by network administrators and ISPs to identify clusters in network that are vulnerable to congestion. However, the existing solutions either require special instrumentation of the network or impose significant measurement overhead.
Software-Defined Networking (SDN), an emerging paradigm in networking advocates separation of the data plane and the control plane, separating the network’s control logic from the underlying routers and switches, leaving a logically centralized software program to control the behavior of the entire network, and introducing network programmability. Further, OpenFlow allows to implement fine-grained Traffic Engineering (TE) and provides flexibility to determine and enforce end-to-end QoS parameters.
In this paper, we present an approach for monitoring and measuring online per-flow as well as per-port packet loss statistics in SDN. The controller polls all the switches of the network periodically for port and flow statistics via OpenFlow 1.3 multipart messages. The OpenFlow compliant switches send cumulative statistics of sent and received packets to the controller that includes raw packets (control, non-user generated packets responsible for network management); which, although not being part of the end-to-end data traffic, get counted and act as noise in the statistics. The proposed method takes into account the effect of raw packets and thus, hamper the accuracy of methods.
Other implementations propose approaches for per-flow packet loss only. We also take into account the effect of raw packets (control, non-user generated packets) which makes our packet loss estimation more accurate than other implementations. We also present a study of extrapolation techniques for predicting packet loss within poll interval.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
McKeown, N., et al.: OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)
Yu, C., Lumezanu, C., Zhang, Y., Singh, V., Jiang, G., Madhyastha, H.V.: FlowSense: monitoring network utilization with zero measurement cost. In: Roughan, M., Chang, R. (eds.) PAM 2013. LNCS, vol. 7799, pp. 31–41. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36516-4_4
Van Adrichem, N.L.M., Doerr, C., Kuipers, F.: Opennetmon: network monitoring in openflow software-defined networks. In: 2014 IEEE Network Operations and Management Symposium (NOMS), pp. 1–8, 5 May 2014
Tootoonchian, A., Ghobadi, M., Ganjali, Y.: OpenTM: traffic matrix estimator for OpenFlow networks. In: Krishnamurthy, A., Plattner, B. (eds.) PAM 2010. LNCS, vol. 6032, pp. 201–210. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12334-4_21
Wellem, T., Lai, Y.-K., Chung, W.-Y.: A software defined sketch system for traffic monitoring. In: Proceedings of the Eleventh ACM/IEEE Symposium on Architectures for Networking and Communications Systems, pp. 197–198, 7 May 2015
Chowdhury, S.R., et al.: Payless: a low cost network monitoring framework for software defined networks. In: 2014 IEEE Network Operations and Management Symposium (NOMS), pp. 1–9, 5 May 2014
Lantz, B., Heller, B., McKeown, N.: A network in a laptop: rapid prototyping for software-defined networks. In: Proceedings of the 9th ACM SIGCOMM Workshop on Hot Topics in Networks, p. 19, 20 October 2010
Open vSwitch (2015). http://openvswitch.org/download/. Accessed 15 Dec 2015
Ryu SDN Framework (2015). http://osrg.github.io/ryu. Accessed 15 Dec 2015
Tirumala, A., et al.: iPerf: the TCP/UDP bandwidth measurement tool. https://iperf.fr/
Avallone, S., et al.: D-ITG distributed internet traffic generator. In: Proceedings First International Conference on the Quantitative Evaluation of Systems, QEST 2004. IEEE (2004)
Sinha, Y., Vashishth, S., Haribabu, K.: Meticulous measurement of control packets in SDN. In: Proceedings of the Symposium on SDN Research. ACM (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Sinha, Y., Vashishth, S., Haribabu, K. (2018). Real Time Monitoring of Packet Loss in Software Defined Networks. In: Kumar, N., Thakre, A. (eds) Ubiquitous Communications and Network Computing. UBICNET 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 218. Springer, Cham. https://doi.org/10.1007/978-3-319-73423-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-73423-1_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73422-4
Online ISBN: 978-3-319-73423-1
eBook Packages: Computer ScienceComputer Science (R0)