Data-driven Study of Network Administration in the Evolving Landscape of Software Defined Networking
Magreth Mushi, Rudra Dutta · 2014
In this paper, we make an initial attempt to employ Grounded Theory approach to gather the corpus of common human errors in the current process of network administration and management over a large variety of organizations and working environments; categorize such errors regarding their potential impact on the security of future script-based management of SDN and analyze these impacts to produce a scientific basis for the design of future resilient networks with adaptive automated device management. Our main contribution is to start introducing a more data-driven scientific approach to solving the misconfiguration problem by studying the effect of network administrators' actions and decisions in configuration of network devices.