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:
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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.
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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.