Research in network monitoring: Connections with SPM and new directions
Nathaniel T. Stevens, James Wilson, Anne R. Driscoll, Ian McCulloh, George Michailidis, Cécile Paris, Peter A. Parker, Kamran Paynabar, Marcus B. Perry, Mostafa Reisi Gahrooei, Srijan Sengupta, Ross Sparks
Abstract
Traditional statistical process monitoring (SPM) provides a useful starting point for framing and solving network monitoring problems. In this paper the panelists discuss similarities and differences between the two fields and they describe many challenges and open problems in contemporary network monitoring research. The panelists also discuss potential outlets and avenues for disseminating such research.
Topics & Concepts
Framing (construction)Data scienceDisseminationComputer scienceManagement scienceProcess (computing)Operations researchEngineeringTelecommunicationsOperating systemStructural engineeringComplex Network Analysis TechniquesBayesian Modeling and Causal InferenceData Mining Algorithms and Applications