Enhancing Fault Detection in Software Defined Network-based Community Wireless Networks

Network performance management is essential for ensuring that computer networks operate optimally and for proactively identi- fying faults. Several network management
tools, operating both passively and actively, are used to provide operational status to op- erators through various visuals, including text, time series graphs, or network graphs. However, achiev
ing usability with these tools in Community Wireless Networks (CWNs) is challenging because technical skills, infrastructure, and computing resources are often limited. This context requires
network management tools that are specifically usable for CWN operators. Software Defined Networking (SDN) provides a global view of network status through its south-bound interface. This
paper seeks to leverage this global view to co-design a usable network monitoring interface. We are exploring effective visualization of SDN network state metrics and IEEE 802.3 MAC
sublayer performance metrics to improve performance and fault detection in Community Wireless Networks