A Novel UDT-Based Transfer Speed-Up Protocol for Fog Computing
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| Udgivet i: | Wireless Communications & Mobile Computing (Online) vol. 2018 (2018) |
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| Andre forfattere: | , , |
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John Wiley & Sons, Inc.
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| Online adgang: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 2407628109 | ||
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| 022 | |a 1530-8677 | ||
| 022 | |a 1530-8669 | ||
| 024 | 7 | |a 10.1155/2018/3681270 |2 doi | |
| 035 | |a 2407628109 | ||
| 045 | 2 | |b d20180101 |b d20181231 | |
| 084 | |a 239331 |2 nlm | ||
| 100 | 1 | |a Han, Zhijie |u Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China | |
| 245 | 1 | |a A Novel UDT-Based Transfer Speed-Up Protocol for Fog Computing | |
| 260 | |b John Wiley & Sons, Inc. |c 2018 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Computer centers | ||
| 653 | |a Research | ||
| 653 | |a Data centers | ||
| 653 | |a Data transfer (computers) | ||
| 653 | |a Control theory | ||
| 653 | |a Control algorithms | ||
| 653 | |a Quality of service | ||
| 653 | |a Computer storage devices | ||
| 653 | |a Bandwidths | ||
| 653 | |a Electronic devices | ||
| 653 | |a Cloud computing | ||
| 653 | |a Internet of Things | ||
| 653 | |a Data processing | ||
| 653 | |a Algorithms | ||
| 653 | |a Servers | ||
| 653 | |a Peer to peer computing | ||
| 653 | |a Data transmission | ||
| 653 | |a Distributed processing | ||
| 653 | |a Computer networks | ||
| 700 | 1 | |a Fan, Weibei |u School of Computer Science and Technology, Soochow University, Suzhou, China | |
| 700 | 1 | |a Li, Jie |u Software College, Henan University, Kaifeng, Henan, China | |
| 700 | 1 | |a Xu, Miaoxin |u Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China | |
| 773 | 0 | |t Wireless Communications & Mobile Computing (Online) |g vol. 2018 (2018) | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2407628109/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2407628109/fulltext/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2407628109/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |