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Guiltiness: A practical approach for quantifying virtual network functions performance., , , , , , , and . Comput. Networks, (2019)A solution for identifying the root cause of problems in IT change management., , , , , , , and . Integrated Network Management, page 586-593. IEEE, (2011)A model for quantifying performance degradation in virtual network function service chains., , , , , , and . NOMS, page 1-9. IEEE, (2018)IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs., , , , , , , , , and . SBES, page 224-232. IEEE Computer Society, (2011)VISION - Interactive and Selective Visualization for Management of NFV-Enabled Networks., , , and . AINA, page 274-281. IEEE Computer Society, (2016)DReAM - a distributed result-aware monitor for Network Functions Virtualization., , , , , , and . ISCC, page 663-668. IEEE Computer Society, (2016)FENDE: Marketplace-Based Distribution, Execution, and Life Cycle Management of VNFs., , , , , , , , , and 3 other author(s). IEEE Commun. Mag., 57 (1): 13-19 (2019)INSpIRE: Integrated NFV-based Intent Refinement Environment., , , , , , and . IM, page 186-194. IEEE, (2017)Affinity measurement for NFV-enabled networks: A criteria-based approach., , , , , and . IM, page 125-133. IEEE, (2017)Artificial neural network model to predict affinity for virtual network functions., , , , , and . NOMS, page 1-9. IEEE, (2018)