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Data traces used for the cnsm 2019 paper

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Data traces for "Efficient learning on high-dimensional operational data" paper, CNSM 2019

Here are traces which we used to obtain our results for our paper:

F. S. Samani, H. Zhang, and R. Stadler, "Efficient learning on high-dimensional operational data," in 2019 15th International Conference on Network and Service Management (CNSM), pp. 1{9, IEEE, 2019.

Traces are colloected from KTH labratory. To collect the traces we run two Video on Demand (VoD) and Key-value (KV) services. You can find more details about these traces in the following pappers:

  1. R. Yanggratoke, J. Ahmed, J. Ardelius, C. Flinta, A. Johnsson, D. Gillblad, and R. Stadler, “Predicting Service Metrics for Cluster-based Services using Real-time Analytics,” in Network and Service Management (CNSM), 2015 11th International Conference on. IEEE, 2015, pp. 135–143.

  2. R. Stadler, R. Pasquini, and V. Fodor, “Learning from network devicestatistics,”Journal of Network and Systems Management, vol. 25, no. 4,pp. 672–698, 2017.

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Data traces used for the cnsm 2019 paper