Abstract
Data center network operators have to continually monitor path latency to quickly detect and re-route traffic away from high-delay path segments. Existing latency monitoring techniques in data centers rely on either (1) actively sending probes from end-hosts, which is restricted in some cases and can only measure end-to-end latencies, or (2) passively capturing and aggregating traffic on network devices, which requires hardware modifications.
In this work, we explore another opportunity for network path latency monitoring, enabled by software-defined networking. We propose SLAM, a latency monitoring framework that dynamically sends specific probe packets to trigger control messages from the first and last switches of a path to a centralized controller. SLAM then estimates the latency distribution along a path based on the arrival timestamps of the control messages at the controller. Our experiments show that the latency distributions estimated by SLAM are sufficiently accurate to enable the detection of latency spikes and the selection of low-latency paths in a data center.
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References
Al-Fares, M., Radhakrishnan, S., Raghavan, B., Huang, N., Vahdat, A.: Hedera: dynamic flow scheduling for data center networks. In: USENIX NSDI (2010)
Benson, T., Akella, A., Maltz, D.: Network traffic characteristics of data centers in the wild. In: ACM IMC (2010)
Chen, Y., Mahajan, R., Sridharan, B., Zhang, Z.-L.: A provider-side view of web search response time. In: Proceedings of ACM SIGCOMM (2013)
Curtis, A.R., Mogul, J.C., Tourrilhes, J., Yalagandula, P., Sharma, P., Banerjee, S.: DevoFlow: scaling flow management for high-performance networks. In: Proceedings of ACM SIGCOMM (2011)
Das, A., Lumezanu, C., Zhang, Y., Singh, V., Jiang, G., Yu, C.: Transparent and efficient network management for big data processing in the cloud. In: HotCloud (2013)
Duffield, N., Grossglauser, M.: Trajectory sampling for direct traffic observation. In: Proceedings of ACM SIGCOMM (2000)
Flach, T., Dukkipati, N., Terzis, A., Raghavan, B., Cardwell, N., Cheong, Y., Jain, A., Hao, S., Katz-Bassett, E., Govindan, R.: Reducing web latency: the virtue of gentle aggression. In: Proceedings of ACM SIGCOMM (2013)
Huang, D.Y., Yocum, K., Snoeren, A.C.: High-fidelity switch models for software-defined network emulation. In: Proceedings of HotSDN (2013)
Kolmogorov, A.N.: Sulla determinazione empirica di una legge di distribuzione. Giornale dellIstituto Italiano degli Attuari 4(1), 83–91 (1933)
Kompella, R.R., Levchenko, K., Snoeren, A.C., Varghese, G.: Every microsecond counts: tracking fine-grain latencies with a lossy difference aggregator. In: Proceedings of ACM SIGCOMM (2009)
Lee, M., Duffield, N., Kompella, R.R.: Not all microseconds are equal: fine-grained per-flow measurements with reference latency interpolation. In: Proceedings of ACM SIGCOMM (2010)
Moshref, M., Yu, M., Sharma, A., Govindan, R.: Scalable rule management for data centers. In: Proceedings of USENIX NSDI (2013)
Rotsos, C., Sarrar, N., Uhlig, S., Sherwood, R., Moore, A.W.: OFLOPS: an open framework for OpenFlow switch evaluation. In: Taft, N., Ricciato, F. (eds.) PAM 2012. LNCS, vol. 7192, pp. 85–95. Springer, Heidelberg (2012)
RagingWire. http://www.ragingwire.com
van Adrichem, N.L.M., Doerr, C., Kuipers, F.A.: OpenNetMon: network monitoring in OpenFlow software-defined networks. In: IEEE NOMS (2014)
Varghese, G.: Network Algorithmics. Elsevier/Morgan Kaufmann, Amsterdam (2005)
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)
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Yu, C., Lumezanu, C., Sharma, A., Xu, Q., Jiang, G., Madhyastha, H.V. (2015). Software-Defined Latency Monitoring in Data Center Networks. In: Mirkovic, J., Liu, Y. (eds) Passive and Active Measurement. PAM 2015. Lecture Notes in Computer Science(), vol 8995. Springer, Cham. https://doi.org/10.1007/978-3-319-15509-8_27
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DOI: https://doi.org/10.1007/978-3-319-15509-8_27
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