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Abstract

Fog computing is a distributed computing model as the middle layer between the cloud data center and the IoT device/sensor. It provides computing, network, and storage devices so that cloud based services can be closer to IOT devices and sensors. Cloud computing requires a lot of bandwidth, and the bandwidth of the wireless network is limited. In contrast, the amount of bandwidth required for “fog computing” is much less. In this paper, we improved a new protocol Peer Assistant UDT-Based Data Transfer Protocol (PaUDT), applied to Iot-Cloud computing. Furthermore, we compared the efficiency of the congestion control algorithm of UDT with the Adobe’s Secure Real-Time Media Flow Protocol (RTMFP), based on UDP completely at the transport layer. At last, we built an evaluation model of UDT in RTT and bit error ratio which describes the performance. The theoretical analysis and experiment result have shown that UDT has good performance in IoT-Cloud computing.

Details

1009240
Title
A Novel UDT-Based Transfer Speed-Up Protocol for Fog Computing
Author
Han, Zhijie 1   VIAFID ORCID Logo  ; Fan, Weibei 2 ; Li, Jie 3 ; Xu, Miaoxin 1 

 Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China 
 School of Computer Science and Technology, Soochow University, Suzhou, China 
 Software College, Henan University, Kaifeng, Henan, China 
Editor
Xuyun Zhang
Volume
2018
Publication year
2018
Publication date
2018
Publisher
John Wiley & Sons, Inc.
Place of publication
Oxford
Country of publication
United States
Publication subject
e-ISSN
15308677
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2018-01-24 (Received); 2018-03-24 (Revised); 2018-04-03 (Accepted); 2018-05-13 (Pub)
ProQuest document ID
2407628109
Document URL
https://www.proquest.com/scholarly-journals/novel-udt-based-transfer-speed-up-protocol-fog/docview/2407628109/se-2?accountid=208611
Copyright
Copyright © 2018 Zhijie Han et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2023-12-06
Database
ProQuest One Academic