博碩士論文 104521032 詳細資訊




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姓名 王弘毅(Hong-Yi Wang)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 GAP:基於軟體定義霧端輔助的車載網路即時內容傳輸方法
(GAP: Seamless Real-time Content Delivery in SDFog Assisted VANET)
檔案 [Endnote RIS 格式]    [Bibtex 格式]    至系統瀏覽論文 (2022-9-28以後開放)
摘要(中) 建置一支援各種即時串流服務的無線網路是近年來熱門的議題。本論文基於SDFog提出一個無縫內容資料傳輸方法GAP,來讓車子內的使用者在移動的過程中,能夠平順無?持續享有優質的資訊服務,特別是即時視訊串流服務。
摘要(英) To efficiently support real-time streaming is still a critical topic with the development of mobile technologies. To achieve this goal, we propose a seamless real-time content delivery method called GAP, based on the SDFog framework in this thesis. With GAP, mobile users in the moving vehicle can obtain better streaming quality.
關鍵字(中) ★ 軟體定義網路
★ 車載網路
★ 霧端運算
★ 內容傳輸
★ 移動性
★ 低延遲
關鍵字(英) ★ SDN
★ VANET
★ Fog Computing
★ Content Delivery
★ Mobility
★ Low latency
論文目次 摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vii
表目錄 xi
第一章、緒論 1
1-1 研究背景 1
1-2 研究動機 2
第二章、文獻探討 7
2-1 雲端運算 7
2-2 霧端運算 9
2-3 車載網路 11
2-4 軟體定義網路 12
2-5 伺服器負載平衡 13
2-5-1 依序循環演算法(Round-Robin Algorithm) 14
2-5-2最少連線數演算法(Least Connections Algorithm) 14
2-5-3最小-最小演算法(Min-Min Algorithm)與最大-最小演算法(Max-
Min Algorithm) 15
2-6傳播延遲的計算 15
2-7 移動管理 17
第三章、系統設計與假設 19
3-1 系統架構 19
3-2 系統的運作行為與流程 22
3-2-1系統的運作行為 22
3-2-2 系統的流程 23
3-3 系統環境設置與假設 25
第四章、GAP方法與系統整合實現 27
4-1 符號說明 27
4-2 控制器運作流程 28
4-3 控制器處理訊息方法 30
4-3-1 Greedy based Packet Scheduling Algorithm 30
4-3-2 ARP Broadcast Reduction Mechanism 35
4-3-3 Prediction based Handoff Support Mechanism 39
4-4 系統實現 42
4-4-1系統環境介紹 42
4-4-2系統場景介紹與模擬參數的設定 44
4-4-3系統實現成果 46
4-4-4 系統實現細節 57
第五章、實驗模擬結果與討論 59
5-1 實驗參數計算 59
5-2 實驗模擬環境與參數設定 60
5-3 模擬成果 62
5-3-1 控制器處理時間 62
5-3-2 移動性 63
5-3-3 霧端伺服器的負載 69
5-3-4 ABR機制的效能 82
5-3-5 PHS機制的效能 84
5-3-6綜合效能的評估 92
第六章、結論與未來目標 110
第七章、參考文獻 112
附錄一 117
參考文獻

[1]F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog computing and its role in the internet of things,” Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pp. 13-16, Aug. 2012
[2]S. Kitanov, and T. Janevski, ”State of the art: Fog computing for 5G networks,” 2016 24th Telecommunications Forum (TELFOR), pp. 1-4, Nov. 2016.
[3]Y. Xiao, and Z. Chao, ”Vehicular fog computing: Vision and challenges,” 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 6-9, Mar. 2017.
[4]M. Chiang, and T. Zhang, “Fog and IoT: An Overview of Research Opportunities,” IEEE Internet of Things Journal, vol. 3, no. 6, pp. 854-864, Jun. 2016.
[5]L. Huang, G. Li, J. Wu, L. Li, J. Li, and R. Morello, ”Software-defined QoS provisioning for fog computing advanced wireless sensor networks,” 2016 IEEE SENSORS, pp. 1-3, Nov. 2016.
[6]I. Foster, Y. Zhao, I. Raicu, and S. Lu, ”Cloud Computing and Grid Computing 360-Degree Compared,” 2008 Grid Computing Environments Workshop, pp. 1-10, Nov. 2008.
[7]N. B. Truong, G. M. Lee, and Y. Ghamri-Doudane, ”Software defined networking-based vehicular Adhoc Network with Fog Computing,” 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 1202-1207, May 2015.
[8]L. M. Vaquero, and L. Rodero-Merino, “Finding your Way in the Fog: Towards a Comprehensive Definition of Fog Computing,” SIGCOMM Comput. Commun. Rev., vol. 44, no. 5, pp. 27-32, 2014.
[9]S. Kitanov, E. Monteiro, and T. Janevski, ”5G and the Fog - Survey of related technologies and research directions,” 2016 18th Mediterranean Electrotechnical Conference (MELECON), pp. 1-6, Apr. 2016.
[10]X. Hou, Y. Li, M. Chen, D. Wu, D. Jin, and S. Chen, “Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures,” IEEE Transactions on Vehicular Technology, vol. 65, no. 6, pp. 3860-3873, 2016.
[11]”Technology and requirement for self-driving cars,” https://www.intel.com.tw/content/www/tw/zh/internet-of-things/offers/driving-safety-advanced-driver-assistance-systems-self-driving-technology-paper.html.
[12]CISCO. ”Fog computing and the internet of things: Extend the cloud to where the things are,” http://www.cisco.com/c/dam/en_us/solutions/trends/iot/docs/computing-overview.pdf.
[13]M. C. J. Manyika et al., B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A. H. Byers, “Big data: The next frontier for innovation, competition, and productivity. 2011,” vol. 5, no. 33, pp. 222, 2014.
[14]I. A. T. Hashem, I. Yaqoob, N. B. Anuar, S. Mokhtar, A. Gani, and S. Ullah Khan, “The rise of “big data” on cloud computing: Review and open research issues,” Information Systems, vol. 47, pp. 98-115, 2015.
[15]M. Hermann, T. Pentek, and B. Otto, ”Design principles for industrie 4.0 scenarios,” System Sciences (HICSS), 2016 49th Hawaii International Conference on. pp. 3928-3937, 2016.
[16]G. Peralta, M. Iglesias-Urkia, M. Barcelo, R. Gomez, A. Moran, and J. Bilbao, ”Fog computing based efficient IoT scheme for the Industry 4.0,” 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM), pp. 1-6, May 2017.
[17] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks, vol. 38, no. 4, pp. 393-422, Mar. 2002.
[18]H. Wang, N. Agoulmine, M. Ma, and Y. Jin, “Network lifetime optimization in wireless sensor networks,” IEEE Journal on Selected Areas in Communications, vol. 28, no. 7, pp. 1127-1137, 2010.
[19]S. A. Lazar, and C. E. Stefan, ”Future Vehicular networks: What control technologies?,” 2016 International Conference on Communications (COMM), pp. 337-340, Jun. 2016.
[20]V. Vijayalakshmi, M. Sathya, S. Saranya, and C. Selvaroopini, ”Survey on various mechanisms for secure and efficient VANET communication,” International Conference on Information Communication and Embedded Systems (ICICES2014), pp. 1-5, Feb. 2014.
[21]M. Dixit, R. Kumar, and A. K. Sagar, ”VANET: Architectures, research issues, routing protocols, and its applications,” 2016 International Conference on Computing, Communication and Automation (ICCCA), pp. 555-561, Apr. 2016.
[22]W. Liang, Z. Li, H. Zhang, S. Wang, and R. Bie, “Vehicular Ad Hoc Networks: Architectures, Research Issues, Methodologies, Challenges, and Trends,” International Journal of Distributed Sensor Networks, vol. 11, no. 8, 2015.
[23]J. Harri, F. Filali, and C. Bonnet, “Mobility models for vehicular ad hoc networks: a survey and taxonomy,” IEEE Communications Surveys & Tutorials, vol. 11, no. 4, pp. 19-41, 2009.
[24]O.N.F., “Openflow switch specification - version 1.3.0,” June 2012.
[25]K. Yang, X. Song, and X. Li, ”Parallel Web server load balancing technology of cloud computing environments,” Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference, pp. 968-971, Aug. 2014.
[26]H. Bryhni, E. Klovning, and O. Kure, “A comparison of load balancing techniques for scalable Web servers,” IEEE Network, vol. 14, no. 4, pp. 58-64, 2000.
[27]S. Jain, and A. K. Saxena, ”A survey of load balancing challenges in cloud environment,” 2016 International Conference System Modeling & Advancement in Research Trends (SMART), pp. 291-293, 25-27 Nov. 2016.
[28]Z. Xu, and X. Wang, ”A modified round-robin load-balancing algorithm for cluster-based web servers,” Proceedings of the 33rd Chinese Control Conference, pp. 3580-3584, July 2014.
[29]S. R. a. A. D. Sarkar, “Execution Analysis of Load Balancing Algorithms in Cloud Computing Environment” International Journal on Cloud Computing: Services and Architecture (IJCCSA), vol. 2, No.5, Oct. 2012
[30]M. Yang, H. Wang, and J. Zhao, ”Research on Load Balancing Algorithm Based on the Unused Rate of the CPU and Memory,” 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC), pp. 542-545, Sept. 2015.
[31]S. S. Chauhan, and R. C. Joshi, ”A weighted mean time Min-Min Max-Min selective scheduling strategy for independent tasks on Grid,” 2010 IEEE 2nd International Advance Computing Conference (IACC), pp. 4-9, Feb. 2010.
[32]B. Santhosh, and D. H. Manjaiah, ”A hybrid AvgTask-Min and Max-Min algorithm for scheduling tasks in cloud computing,” 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), pp. 325-328, 18-19 Dec. 2015.
[33]K. Phemius, and M. Bouet, ”Monitoring latency with OpenFlow,” Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013), pp. 122-125, Oct. 2013.
[34]M. Azizi, R. Benaini, and M. B. Mamoun, ”The Programmable Cloud Network: Delay Measurement Application,” 2014 Tenth International Conference on Signal-Image Technology and Internet-Based System, pp. 687-693, Nov. 2014.
[35]N. D. Dao, H. Zhang, H. Farmanbar, and X. Li, ”Solutions to Support Mobility in SDN-Based Dense Wireless Networks,” 2015 IEEE Globecom Workshops (GC Wkshps), pp. 1-6, Dec. 2015.
[36]T. T. Nguyen, C. Bonnet, and J. Harri, ”SDN-based distributed mobility management for 5G networks,” 2016 IEEE Wireless Communications and Networking Conference, pp. 1-7, Apr. 2016.
[37]K. L. S. Gundavelli, V. Devarapalli, K. Chowdhury, and B. Patil, “Proxy Mobile IPv6,” RFC 5213, Aug. 2008.
[38]C. Chen, Y. T. Lin, L. H. Yen, M. C. Chan, and C. C. Tseng, ”Mobility management for low-latency handover in SDN-based enterprise networks,” 2016 IEEE Wireless Communications and Networking Conference. pp. 1-6, Apr. 2016.
[39]G. Karagiannis, O. Altintas, E. Ekici, G. Heijenk, B. Jarupan, K. Lin, and T. Weil, “Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions,” IEEE Communications Surveys & Tutorials, vol. 13, no. 4, pp. 584-616, 2011.
指導教授 黃琴雅(Chin-Ya Huang) 審核日期 2017-9-28
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