Fog Route DTN-Based Data Dissemination Model in Fog Computing

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Fog Route DTN-Based Data Dissemination Model in Fog Computing

Fog Route DTN-Based Data Dissemination Model in Fog Computing

Abstract

Fog Route DTN-Based Data Dissemination Model in Fog Computing,Fog computing, known as “cloud closed to ground”, deploys light-weight compute facility, called Fog servers, at the proximity of mobile users. By pre-catching contents in the Fog servers, an important application of Fog computing is to provide high-quality low-cost data distributions to proximity mobile users, e.g., video/live streaming and ads dissemination, using the single-hop low-latency wireless links. 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 Fog Route DTN-Based Data Dissemination Model in Fog Computing, however, may incur 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. 

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
 
RAM                      : 256 MB(min)
 
Hard Disk              : 20 GB
 
Floppy Drive          : 1.44 MB
 
Key Board             : Standard Windows Keyboard
 
Mouse                  : Two or Three Button Mouse
 
Monitor                : SVGA
 
S/W System Configuration
 
 
Platform                     :  IOT

 
Operating system       : Windows Xp,7,
 
Server                       : WAMP/Apache
 
Working on                : Browser Like Firefox, IE

Conclusion

In this Fog Route DTN-Based Data Dissemination Model in Fog Computing paper, we have proposed a hybrid data dissemination model in Fog computing by utilizing both DTN and Cloud techniques. These contents with higher volume and lower timeliness, such as high definition video, could be disseminated by delay-tolerant technique. While these contents with lower volume and higher timeliness, such as emergency news, could be disseminated with current Cloud technique. The proposed model is central controlled by content provider or Cloud administer and all Fog servers are distributed deployed in local areas. DTN-based data dissemination is based on human (mobile devices) and vehicles. Experiment results demonstrated the proposed model has a higher delivery success ratio and lower end to end delay, which proved it is not only workable, but also reliable and efficient in term of data dissemination in Fog computing.