Authors : S. Parameswari and K. Kavitha
Abstract: Fog computing is an extension of cloud computing. As in cloud computing, fog computing also provides data, compute, storage and application services to end-users. The difference is fog provides proximity to its end users through dense geographical distribution and it also supports mobility. Access points or set-up boxes are used as end devices to host services at the network. These end devices are also termed as edge network. Fog computing improves the Quality of Service(QoS) and also reduces latency. A fog computing system is of a three tier Mobile-Fog-Cloud structure, mobile user gets service from fog servers using local wireless connections and fog servers update their contents from cloud using the cellular or wired networks. This, however, may suffer high content update cost when the bandwidth between the fog and cloud servers is expensive, e.g., using the cellular network and is therefore inefficient for non-urgent, high volume contents. In this study, we address the issue by proposing a hybrid data dissemination framework which applies DTN (Delay Tolerable Network) approaches in fog computing. Here, it is decompose the fog computing network architecture with two planes where the cloud is a control plane to process content update queries and organize data flows and the geometrically distributed fog servers form a data plane to disseminate data among fog servers with delay tolerant network technique.
S. Parameswari and K. Kavitha, 2020. Fog Route: Distribution of Data using Delay Tolerant Network. Journal of Engineering and Applied Sciences, 15: 508-515.