QoSMon

Community networks have been proposed by networking experts and researchers as a way to bridge the connectivity gaps in rural and remote areas of the world. Many community networks are built with low-capacity computing devices and low-capacity links. Such community networks are examples of low resource networks. The design and implementation of networks using limited hardware and software resources has been studied extensively in the past, but scheduling strategies for conducting measurements on these networks still remains an important area to be explored. In this study, the design of a Quality of Service monitoring system is proposed, focusing on performance of scheduling of network measurement jobs in different topologies of a low-resource network. Our results show that an existing graph colouring algorithm distributes measurement jobs more efficiently than other scheduling algorithms like Round Robin and Earliest Deadline First.