A Method for the Joint Analysis of Numerical and Textual IT-System Data to Predict Critical System States

Author:

Kubiak PatrickORCID,Rass StefanORCID,Pinzger MartinORCID,Schneider StephanORCID

Publisher

Springer International Publishing

Reference33 articles.

1. Kubiak, P., Rass, S., Pinzger, M.: IT-Application Behaviour Analysis: Predicting Critical System States on OpenStack using Monitoring Performance Data and Log Files, pp. 589–596. SCITEPRESS - Science and Technology Publications, Lieusaint - Paris (2020)

2. Kubiak, P., Rass, S.: An overview of data-driven techniques for IT-service-management. IEEE Access 6, 63664–63688 (2018)

3. Hochstein, A., Tamm, G., Brenner, W.: Service-oriented IT management: benefit, cost and success factors. In: Proceedings of the 13th European Conference on Information Systems, Information Systems in a Rapidly Changing Economy, Regensburg, Germany (2005)

4. Potgieter, B.C., Botha, J.H., Lew, C.: Evidence that use of the ITIL framework is effective. In: Proceedings of the 8th Annual Conference of the National Advisory Committee on Computing Qualifications, Tauranga, New Zealand, pp. 160–167 (2005)

5. Salfner, F., Lenk, M., Malek, M.: A survey of online failure prediction methods. ACM Comput. Surv. (CSUR), 42, 1–42 (2010)

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