TY  - JOUR
T1  - Fog Route: Distribution of Data using Delay Tolerant Network
AU - Parameswari, S. AU - Kavitha, K. 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 2
SP  - 508
EP  - 515
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.508.515
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.508.515
KW  - Fog computing
KW  -delay tolerant network
KW  -data dissemination inefficient
KW  -tolerant
KW  -technique
AB  - 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.
ER  -