Research on smart caching and content sharing for mobile networks

分类号 学校代码 学号 I201222051 密级 10487 博士学位论文 面向移动互联网的智能缓存和 资源共享关键技术研究 学位申请人：翁母勇 学 科 专 业：计算机系统结构 指 导 教 师：陈敏 教授 答 辩 日 期：2015 年 月 12 日 A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Engineering Research on Smart Caching and Content Sharing for Mobile Networks Ph.D Candidate : Ong Mau Dung Major : Computer System Architecture Supervisor : Prof Chen Min Huazhong University of Science and Technology Wuhan 430074, P R China May, 2015 独创性声明  本人声明所呈交的学位论文是我个人在导师指导下进行的研究工作及取得 的研究成果。尽我所知，除文中已经标明引用的内容外，本论文不包含任何其他 个人或集体已经发表或撰写过的研究成果。对本文的研究做出贡献的个人和集 体，均已在文中以明确方式标明。本人完全意识到本声明的法律结果由本人承担。    学位论文作者签名：  日期：        年        月        日    学位论文版权使用授权书  本学位论文作者完全了解学校有关保留、使用学位论文的规定，即：学校有权 保留并向国家有关部门或机构送交论文的复印件和电子版，允许论文被查阅和借阅。 本人授权华中科技大学可以将本学位论文的全部或部分内容编入有关数据库进行检 索，可以采用影印、缩印或扫描等复制手段保存和汇编本学位论文。  保密□，      在            年解密后适用本授权书。  本论文属于  不保密□。  （请在以上方框内打“√”）      学位论文作者签名：                指导教师签名：  日期：        年      月      日                日期：        年      月      日        华  中  科  技  大 学 博 士 学 位 论  文  摘 要 目前的互联网架构设计和建立于上世纪 60 年代末，70 年代初，其主要目的是为 了实现资源共享。它被设计为一个能够使两个终端主机之间进行会话的通讯架构。 因此，如今的互联网已经不仅仅作为一个传统的包传输网络，而且作为一个分发网 络来使用。由于上述原因，需要调整网络架构以便有效地将内容分发给众多用户。 内容中心网络（CCN）提供了满足一种支持上述要求的网络体系结构。CCN 是 一种面向内容名字的方法，它被用来向边缘网关/路由器传播内容，CCN 是一种在不 断发展的分布网络构架。在保证最小的上行带宽需求和最短的下行延迟的前提下， 为了使内容共享的概率达到最大化，CCN 路由器/网关应该尽可能长地缓存交换的内 容。为此，首先提出了两种类型的为 CCN 所设计的智能缓存策略。所提出的新缓存 策略具有较高命中率，能够显著的提高 CCN 的性能。然后介绍了在无线体域网 （WBAN），车辆自组织网络（VANET），数据中心网络（DCN）和多源移动流（MS2） 中的 CCN 的应用和网络架构解决方案，并阐明了 CCN 的有效性和灵活性。 在 WBAN 中，为了在医疗保健系统中提供一个高质量的远程数据传输，提出了 一种新型的混合系统和 WBAN 网络传输结构，保证了系统的服务质量（QoS）。在 医疗保健系统中，长期演进（LTE)可以被作为一个最佳选择，对于动态移动的病人 和医生，CCN 和自适应流是一个合适的选择。 在 VANET 中，对于有效和可靠信息传播和检索需求越来越多，因此，提出一 种解决方案，Vehicular Named Data Networking （VENDNET），将 CCN 的基本原 理转化到 VANET。结果表明，CCN 机制可以显著改善 VANET 的性能。 在云计算和移动社交计算的时代，移动站（MS）的移动特性可能导致 MS 和数 据中心（DC）之间的距离太远而导致包延迟的增加，因此需要将服务随时迁移到不 同的 DC。在当前的网络体系架构中，由于虚拟机的迁移导致的 MS 或者虚拟机 IP 地址的变化会导致两个人之间的 IP 会话释放，服务被中断。基于 CCN 的单一的内 容命名标识，替代 IP 地址，保证了服务的连续性。 最后，本文综合 CCN 提出了移动多媒体流的 MS2 框架用于移动多媒体流。该合 I   华  中  科  技  大 学 博 士 学 位 论  文  成体系进一步改善了 MS2 的性能，因为它将附近的无线接入网络的可用流行内容缓 存提供给移动用户，有助于避免从远程的服务器访问流行内容而导致的拥塞。 关键词：内容中心网络 智能缓存 缓存命中率 无缝服务迁移 II 网络流量卸载   华  中  科  技  大 学 博 士 学 位 论  文  Abstract The current Internet’s architecture was designed and created in the late 1960s and early 1970s primarily to enable resource sharing It was designed as a communication architecture to enable a conversation between two end-hosts Thus, the usage of Internet nowadays is more than a network for traditional packet deliveries, we are now using it as a distribution network For this reason, the network architecture needs to be operated in order to effectively support content distribution to the large number of users Content Centric Networking (CCN) provides a network architecture to support the above requirements CCN is an evolving distribution network architecture since CCN is a content name-oriented approach to disseminate content to edge gateways/routers To maximize the probability of content sharing while ensuring minimal upstream bandwidth demand and lowest downstream latency, CCN routers/gateways should cache exchanged content as long as possible For this reason, novel smart caching policies are firstly proposed and especially designed for CCN The obtained simulation results demonstrated the good performance of the proposed policies in achieving higher hitting rates Then, many CCN applications and network architecture solutions are presented in Wireless Body Area Network (WBAN), Vehicle Ad-hoc Network (VANET), Data Center Network (DCN) and Multi-Source Mobile Streaming (MS2) to illustrate for the efficient and flexible CCN implementation In WBAN, a new type of hybrid system and WBAN transmission network architecture are proposed to provide high Quality of Service (QoS) for remote monitoring in the context of the healthcare system Long-Term Evolution (LTE) has engaged the best choice for healthcare system and CCN with adaptive streaming is a suitable solution for dynamic patients and physicians In VANET, motivated by the increasing demand for efficient and reliable information dissemination and retrieval, Vehicular Named Data Networking (VENDNET) solution is proposed by inheriting the basic principle of the CCN into VANET The obtained results show that CCN mechanism can improve the performance of the VANET significantly III   华  中  科  技  大 学 博 士 学 位 论  文  In the era of cloud and mobile social computing, the mobility characteristic may cause a service on mobile station (MS) to be migrated between different Data Centers (DC); otherwise, a packet delay is increased due to the fact that a considerable geographical distance between MS and serving DC With a current networking architecture, IP address of either MS or Virtual Machine (VM) is changed because of the VM migration, and an IP session between two peers is released and the service is disrupted as a result Based on unique content name identification in CCN, instead of IP address, service migration can be continuous Finally, CCN is integrated in recently proposed MS2 architecture for mobile multimedia streaming The resultant architecture improves further the performance of MS2 as it makes popular content available to mobile users at caches placed nearby Radio Access Networks This helps in avoiding the access to popular content from far away servers along paths that could otherwise get congested Key words: Content centric networking Network traffic offloading Smart caching Cache hit rate Seamless service migration IV   华  中  科  技  大 学 博 士 学 位 论  文  Table of Contents 摘 要 I Abstract III Introduction 1.1 Overview and motivation (1) 1.2 Content Centric Networking (CCN): the Next Generation Network (NGN) for the Future Internet (FI) (3) 1.3 Research on smart caching, content sharing, network architecture and smart services provisioning in mobile network (9) 1.4 Summary (12) 2.1 CCN performance improvement with smart caching Related works and their drawback (14) 2.2 Popularity Prediction and Cooperative Caching (PPCC) (15) 2.3 PPCC algorithm simulation and results (21) 2.4 Fine-Grained Popularity-based Caching (FGPC) (26) 2.5 FGPC algorithm simulation and results (30) 2.6 Summary (35) 3.1 Efficient content sharing over CCN network architecture Current challenges in content sharing for Wireless Body Area Network (WBAN) (37) 3.2 The virtue of sharing: efficient content delivery in WBAN for ubiquitous healthcare (43) 3.3 Performance evaluation for a new hybrid system in WBAN (46) V   华  中  科  技  大 学 博 士 学 位 论  文  3.4 Vehicular Ad Hoc Network (VANET) overview, wireless access Standards and existing issues (52) 3.5 Vehicular Named Data Network (VENDNET): efficient content distribution in VANET (62) 3.6 VENDNET performance evaluation (63) 3.7 Summary (66) Seamless service migration in mobile network 4.1 Virtualization technology and Data Center (DC) overview (68) 4.2 Motivation and problem statement (69) 4.3 Seamless service migration framework (71) 4.4 Simulation and results (73) 4.5 Summary (76) 5.1 Supporting rich media services via Named Data Networking Related works and problem statement (78) 5.2 MS2 : Traditional solution to supporting rich media services in mobile networks (80) 5.3 MM3C: Multi-Source Mobile Streaming in Cache-enabled CCN (85) 5.4 MM3C performance evaluation (88) 5.5 Summary (89) 6.1 Mobile Data Offloading: A Named Data Networking Approach Challenges in mobile traffic (90) 6.2 Integrating NDN with LTE (92) 6.3 Network architecture (93) 6.4 Results Analysis (95) VI   华  中  科  技  大 学 博 士 学 位 论  文  6.5 Summary (97) Conclusions and future works 7.1 Conclusions (98) 7.2 Recommendation for future works (99) Acknowledgements (101) References (102) Appendix Academic papers published during the period of PhD degree directory (111) Appendix OPNET Modeler simulation tool (113)     VII   华  中  科  技  大 学 博 士 学 位 论  文  performance of the proposed policy is expected to be largely improved with an efficient cooperation/ contextual information sharing among neighboring CCN nodes to achieve self-organized networking of the CCN nodes and their caching For WBAN area, we try more effort on system security and large-scale deployment And for the VANET mode, it should be evaluated under various scenarios with a huge number of vehicles, and mobility patterns, and by using prototypes Investigating the impact of smart and cooperative caching on MM3C, supported by accurate assessment of available network resources along the movement path of users, form one of our future research direction in this particular research area Moreover, CDN-based cloud computing and CDN-based CCN are two new effective content delivery attracted many research at this moment [97-102] Similarly, mobile traffic offloading (e.g video mobile traffic) is the alter-solution to provide popular content to the huge of users effectively Such mobile network owned CDN referred as mobile CDN (mCDN) [103-107] For instance, in the mCDN with LTE structure, mCSP centralized deployment is known as content servers, connected to the Evolve Packet Core (EPC) through Proxy-Gateway (P_GW) A number of mCSP distribution deployment is known as replica edge servers, placed closed to eNodeB So, mCSP can be distributed throughput the core, backhaul and access network mCSP distribution must be able to serve the huge number of user's request and appropriate serving mCSP should be located close to the user's location 100   华  中  科  技  大 学 博 士 学 位 论  文  Acknowledgements At first, I would like to thank to China Government and Huazhong University of Science and Technology (HUST) gave me the full scholarship in Ph.D program I would like to thank to my Supervisor in thesis – Prof Chen Min (陈敏) who has been very helpful with his expert professional advices and support throughout the time I worked on my project and thesis I would also like to send my big thank to all my colleagues in the Embedded and Pervasive Computing Lab (EPIC Lab), who co-operate and contribute with me during Ph.D program HUST, Wu Han, 10th May 2015 Ong Mau Dung 101   华  中  科  技  大 学 博 士 学 位 论  文  References [1] T Han, N Ansari, M Wu, et al On accelerating content delivery in mobile networks IEEE Communications Surveys & Tutorials, Jul 2013, 15(3): 1314-1333 [2] Y Sun, Y Guo, Z Li, et al The case for P2P mobile video system over wireless broadband networks: A practical study of challenges for a mobile video provider IEEE Network, Apr 2013, 27(2): 22-27 [3] Z Li, Y Huang, G Liu, et al Designs, and Performances of Large-Scale Open-P2SP Content Distribution IEEE Transactions on Parallel and Distributed Systems, Nov 2013, 24(11): 2181-2191 [4] G Peng CDN: Content Distribution Network Technical Report TR-125 of Experimental Computer Systems Lab in Stony Brook University, Feb 2008 [5] M Elkotob, K Andersson Challenges and opportunities in content distribution networks: A case study in: Globecom Workshops (GC Wkshps), Dec 2012: 1021-1026 [6] B Frank, I Poese, Y Lin, et al Pushing cdn-isp collaboration to the limit ACM SIGCOMM Computer Communication Review, Jul 2013, 43(3): 34-44 [7] B Ahlgren, C Dannewitz, C Imbrenda, et al A survey of information-centric networking Communications Magazine, Jul 2012, 50(7): 26-36 [8] G Xylomenos, C N Ververidis, V A Siris, et al A survey of information-centric networking research Communications Surveys & Tutorials, May 2014, 16(2): 1024-1049 [9] T Koponen, M Chawla, B G Chun, et al A data-oriented (and beyond) network architecture in: ACM SIGCOMM Computer Communication Review, Oct 2007: 181-192 [10] V Jacobson, D Smetters, J Thornton, et al Networking named content in: Proceedings of the 5th international conference on Emerging networking experiments and technologies, Jan 2012: 1-12 [11] http: //named-data net/project/ [12] S Tarkoma, M Ain, K Visala The Publish/Subscribe Internet Routing Paradigm 102   华  中  科  技  大 学 博 士 学 位 论  文  (PSIRP): Designing the Future Internet Architecture in: Future Internet Assembly, 2009: 102-111 [13] http: //www fp7-pursuit eu/PursuitWeb/ [14] C Dannewitz, D Kutscher, B Ohlman, et al Network of Information (NetInf)–An information-centric networking architecture Computer Communications, Apr 2013, 36(7): 721-735 [15] http: //www 4ward-project eu/ [16] http: //www sail-project eu/ [17] http: //ndnsim net/index html/ [18] B Han, X Wang, T Kwon, et al Amvs-ndn: Adaptive mobile video streaming and sharing in wireless named data networking in: Computer Communications Workshops (INFOCOM WKSHPS), Apr 2013: 375-380 [19] M Chen, S Gonzalez, A Vasilakos, et al Body area networks: A survey Mobile networks and applications, Apr 2011, 16(2): 171-193 [20] L Chi, J Wen, Q Yu, et al HealthKiosk: A family-based connected healthcare system for long-term monitoring in: Computer Communications Workshops (INFOCOM WKSHPS), Apr 2011: 241-246 [21] ETSI LTE, Evolved Universal Terrestrial Radio Access Network (EUTRAN), Architecture description 3GPP TS 36.401 version 11.2.0 Release 11, Sep 2013 [22] Alcatel Lucent Introduction to Evolved Packet Core White paper [23] W Quan, C Xu, J Guan, et al Scalable name lookup with adaptive prefix bloom filter for named data networking IEEE Communications Letters, Jan 2014, 18(1): 102-105 [24] S Zeadally, R Hunt, Y S Chen, et al Vehicular ad hoc networks (VANETS): status, results, and challenges Telecommunication Systems, Aug 2012, 50(4): 217-241 [25] W Chen, R K Guha, T J Kwon, et al A survey and challenges in routing and data dissemination in vehicular ad hoc networks Wireless Communications and Mobile Computing, Jul 2011, 11(7): 787-795 [26] http: //www opnet com/ [27] M Chen OPNET network simulation Tsinghua University Pressˈ2004 103   华  中  科  技  大 学 博 士 学 位 论  文  [28] X N Nguyen, D Saucez, T Turletti Efficient caching in content-centric networks using OpenFlow in: IEEE INFOCOM 2013 Workshop, Feb 2013: 1-2 [29] M Xie, I Widjaja, H Wang Enhancing cache robustness for content-centric networking in: INFOCOM, Mar 2012: 2426-2434 [30] Y Li, H Xie, Y Wen, et al Coordinating in-network caching in content-centric networks: model and analysis in: Proceedings of the 33rd International Conference on Distributed Computing Systems (ICDCS), Jul 2013: 62-72 [31] http: //www ccnx org/ [32] C Bernardini, T Silverston, O Festor Mpc: Popularity-based caching strategy for content centric networks in: International Conference on Communications (ICC), Jun 2013: 3619-3623 [33] A Ghodsi, T Koponen, B Raghavan, et al Information-centric networking: seeing the forest for the trees in: Proceedings of the 10th ACM Workshop on Hot Topics in Networks, Nov 2011 [34] M Cha, H Kwak, P Rodriguez, et al Analyzing the video popularity characteristics of large-scale user generated content systems IEEE/ACM Transactions on Networking (TON), Oct 2009, 17(5): 1357-1370 [35] N Eisley, L Peh, L Shang In-network cache coherence in: Proceedings of the 39th Annual IEEE/ACM International Symposium on Micro-architecture, Dec 2006: 321-332 [36] I Psaras, W K Chai, George Pavlou Probabilistic in-network caching for information-centric networks in: Proceedings of the second edition of the ICN workshop on Information-centric networking, Aug 2012: 55-60 [37] G Li, M Wang, J Feng, et al Understanding User Generated Content Characteristics: A Hot-Event Perspective in: Conference on Communications (ICC), Jun 2011: 1-5 [38] G Tyson, S Kauney, S Miles, et al A trace-driven analysis of caching in content-centric networks in: Proceedings of the 21st International Conference on Computer Communications and Networks (ICCCN), Aug 2012: 1-7 [39] W Zhang, J Bi, J Wua, et al Catching popular prefixes at AS border routers with a prediction based method Computer Networks, Mar 2012, 56(4): 1486-1502 104   华  中  科  技  大 学 博 士 学 位 论  文  [40] J Li, H Wu, B Liu, et al Popularity-driven coordinated caching in named data networking in: Proceedings of the eighth ACM/IEEE symposium on Architectures for networking and communications systems, Oct 2012: 15-26 [41] Z Ming, M Xu, D Wangy in: Computer Communications Workshops (INFOCOM WKSHPS), Mar 2012: 268-273 [42] Z Li, G Simon, A Gravey Caching policies for in-network caching in: Proceedings of the 21st International Conference on Computer Communications and Networks (ICCCN), Aug 2012: 1-7 [43] D Rossi, G Rossini Caching performance of content centric networks under multi-path routing (and more) Relatório técnico, Telecom ParisTech, 2011 [44] R Rivest The MD5 message-digest algorithm, 1992 RFC1321, Internet Activities Board, Internet Engineering Task Force [45] R Yu, Y Zhang, G Chen, et al Energy-efficient and reliability-driven cooperative communications in cognitive body area networks Mobile Networks and Applications, Dec 2011, 16(6): 733-744 [46] M Chen, Y Ma, J Wang, et al Enabling Comfortable Sports Therapy for Patient: A Novel Lightweight Durable and Portable ECG Monitoring System in: Proceedings of the 15th International Conference on e-Health Networking, Applications & Services (Healthcom), Oct 2013: 669-673 [47] S Gonzalez, M Chen, V Leung Mobility support for health monitoring at home using wearable sensors IEEE Transactions on Information Technology in Biomedicine, Jul 2011, 15(4): 539-549 [48] X Ge, J Hu, C Wang, et al Energy efficiency analysis of MISO-OFDM communication systems considering power and capacity constraints Mobile Networks and Applications, Feb 2012, 17(1): 29-35 [49] M Chen MM-QoS for BAN: multi-level MAC-layer QoS design in body area networks in: Globecom Workshops (GC Wkshps), Dec 2013: 5012-5016 [50] Y Wang, H Wang, C Wang Graph-Based Authentication Design for Color-Depth-Based 3D Video Transmission over Wireless Networks IEEE Transactions on Network and Service Management, Sep 2013, 10(3): 245-254 [51] M Chen, S Gonzalez, Q Zhang, et al A 2G-RFID-based e-healthcare system 105   华  中  科  技  大 学 博 士 学 位 论  文  Wireless Communications, Feb 2012, 17(1): 37-43 [52] I Humar, X Ge, L Xiang, et al Rethinking energy efficiency models of cellular networks with embodied energy IEEE Network, Apr 2011, 25(2): 40-49 [53] M Chen, G Wei Multi-stages hybrid ARQ with conditional frame skipping and reference frame selecting scheme for real-time video transport over wireless LAN IEEE Transactions on Consumer Electronics, Feb 2004, 50(1): 158-167 [54] M Chen, V Leung, S Mao, et al Cross-layer and path priority scheduling based real-time video communications over wireless sensor networks in: Vehicular Technology Conference, May 2008: 2873-2877 [55] Y Yu, T Punihaole, M Gerla, et al Content routing in the vehicle cloud in: IEEE MILCOM, Nov 2012: 1-6 [56] K Zheng, F Liu, W Xiang, et al Dynamic downlink aggregation carrier scheduling scheme for wireless networks IET Communications, Jan 2014, 8(1): 114-123 [57] H A Omar, W Zhuang, L Li VeMAC: A TDMA-based MAC protocol for reliable broadcast in VANETs IEEE Transactions on Mobile Computing, Jul 2013, 12(9): 1724-1736 [58] A Vinel, E Belyaev, B Bellalta, et al Live video streaming in vehicular networks In: Communication Technologies for Vehicles in: Proceedings of the 6th International Workshop, May 2014: 156-162 Springer International Publishing [59] T H Luan, X Shen, F Bai Integrity-oriented content transmission in highway vehicular ad hoc networks in: INFOCOM, Apr 2013: 2562-2570 [60] P TalebiFard, V C M Leung A content-centric perspective to crowd-sensing in vehicular networking Journal of Systems Architecture, 2013, 59(10): 976-984 [61] http: //www zigbee org/ [62] Y Zhang, R Yu, W Yao, et al Home M2M networks: architectures, standards, and QoS improvement IEEE Communications Magazine, Apr 2011, 49(4): 44-52 [63] M Chen, S Gonzalez, H Cao, et al Enabling low bit-rate and reliable video surveillance over practical wireless sensor network The Journal of Supercomputing, Jul 2013, 65(1): 287-300 [64] X Ge, K Huang, C Wang, et al Capacity analysis of a multi-cell multi-antenna 106   华  中  科  技  大 学 博 士 学 位 论  文  cooperative cellular network with co-channel interference IEEE Transactions on Wireless Communications, Oct 2011, 10(10): 3298-3309 [65] S Ullah, M Chen, K Kwak Throughput and delay analysis of IEEE 802.15 6-based CSMA/CA protocol Journal of medical systems, Dec 2012, 36(6): 3875-3891 [66] S Ullah, K Kwak An Ultra Low-power and Traffic-adaptive MAC Protocol for WBANs Journal of medical systems, Dec 2009, 36(3): 1021-1030 [67] J Huang, F Qian, A Gerber, et al A close examination of performance and power characteristics of 4G LTE networks in: Proceedings of the 10th international conference on Mobile systems, applications, and services, Jun 2012: 225-238 [68] F J Martinez, C K Toh, J Cano, et al A survey and comparative study of simulators for vehicular ad hoc networks (VANETs) Wireless Communications and Mobile Computing, Jul 2011, 11(7): 813-828 [69] V D Khairnar, S N Pradhan Comparative Study of Simulation for Vehicular Ad-hoc Network International Journal of Computer Applications, Apr 2013, 4(10): 15-18 [70] Y T Yu, X Li, M Gerla, et al Scalable VANET content routing using hierarchical bloom filters in: Wireless Communications and Mobile Computing, Jun 2013: 1629-1634 [71] E P Zaw, N L Thein Improved live VM migration using LRU and Splay tree algorithm International Journal of Computer Science and Telecommunications, Mar 2012, 3(3): 1-7 [72] Y Li, W Li, C Jiang A survey of virtual machine system: Current technology and future trends in: Proceedings of the third International Symposium on Electronic Commerce and Security (ISECS), Jun 2010: 332-336 [73] A R Ashok Kumar, S V Rao, D Goswami NS3 Simulator for a Study of Data Center Networks in: Proceedings of the 12th International Symposium on Parallel and Distributed Computing (ISPDC), Jun 2013: 224-231 [74] M R Anala, M Kashyap, G Shobha Application performance analysis during live migration of virtual machines in: Proceedings of the 3rd International Advance Computing Conference (IACC), Feb 2013: 366-372 107   华  中  科  技  大 学 博 士 学 位 论  文  [75] K Li, H Zheng, J Wu Migration-based virtual machine placement in cloud systems in: IEEE 2nd International Conference on Cloud Networking (CloudNet), Nov 2013: 83-90 [76] N Fernando, S W Loke, W Rahayu Mobile cloud computing: A survey Future Generation Computer Systems, Jan 2013, 29(1): 84-106 [77] K Zheng, F Hu, W Wang, et al Radio resource allocation in LTE-advanced cellular networks with M2M communications IEEE Communications Magazine, Jul 2012, 50(7): 184-192 [78] V Mann, A Vishnoi, K Kannan, et al "CrossRoads: Seamless VM mobility across data centers through software denned networking" in: Network Operations and Management Symposium (NOMS), Apr 2012: 88-96 [79] R Ravindran, S Lo, X Zhang, et al Supporting seamless mobility in named data networking in: IEEE International Conference on Communications (ICC), Jun 2012: 5854-5869 [80] X Jiang, J Bi, Y Wang, et al A content provider mobility solution of named data networking in: Proceedings of the 20th IEEE International Conference on Network Protocols (ICNP), Nov 2012: 1-2 [81] T Taleb, P Hasselmeyer, F G Mir Follow-Me Cloud: An OpenFlow-Based Implementation in: Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing, Aug 2013: 240-245 [82] Cisco Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013-2018 White paper [83] N K Chaitanya, Dr S Varadarajan, P Sreenivasulu Adaptive multi-path routing for congestion control in: Advance Computing Conference (IACC), Feb 2014: 189-192 [84] T Taleb, K Hashimoto A New Real-Time Multi-Source Mobile-Streaming Architecture IEEE Transactions on Broadcasting, Aug 2011, 57(3): 662-673 [85] T Taleb, N Kato, Y Nemoto Neighbors-buffering-based video-on-demand architecture Signal Processing: Image Communication, Aug 2003, 18(7): 515-526 [86] D O Mau, M Chen, T Taleb, et al FGPC: fine-grained popularity-based caching 108   华  中  科  技  大 学 博 士 学 位 论  文  design for content centric networking in: Proceedings of the 17th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems, Sep 2014: 295-302 [87] X Wang, M Chen, T Taleb, et al Cache in the air: exploiting content caching and delivery techniques for 5g systems IEEE Communications Magazine, Feb 2014, 52(2): 131-139 [88] J Wu, X Wu, J Chen SPMLD: Sub-packet based multipath load distribution for real-time multimedia traffic Journal of Communications and Networks, Nov 2014, 16(5): 548-558 [89] Z Bai, S Li, Y Wu, et al Experimental demonstration of SVC video streaming using QoS-aware multi-path routing over integrated services routers in: IEEE International Conference on Communications (ICC), Jun 2013: 3683-3687 [90] Y Zhang, J Liu, T Huang, et al Multi-path Interests Routing Scheme for Multi-path Data Transfer in Content Centric Networking In: Information and Communications Technology 2013, Aug 2013: 1-6 [91] A Udugama, S Palipana, C Goerg Analytical characterisation of multi-path content delivery in Content Centric Networks in: Future Internet Communications (CFIC), May 2013: 1-7 [92] J C Fernandez, T Taleb, M Guizani, et al Bandwidth aggregation-aware dynamic QoS negotiation for real-time video streaming in next-generation wireless networks IEEE Transactions on Multimedia, Sep 2009, 11(6): 1082-1093 [93] M Palacin, M Oliver, J Infante, et al The Impact of Content Delivery Networks on the Internet Ecosystem Journal of Information Policy, 2013, 3: 304-330 [94] F Z Yousaf, M Liebsch, A Maeder, et al Mobile CDN Enhancements for QoE-Improved Content Delivery in Mobile Operator Networks IEEE Network, Apr 2013, 27(2): 14-21 [95] Alcatel Lucent Introduction to Evolved Packet Core White paper [96] ETSI LTE, Evolved Universal Terrestrial Radio Access Network (EUTRAN), Architecture description 3GPP TS 36 401 version 11.2.0 Release 11, Sep 2013 [97] L Li, X Ma, Y Huang CDN cloud: A novel scheme for combining CDN and cloud computing in: Measurement, Information and Control (ICMIC), Aug 2013: 109   华  中  科  技  大 学 博 士 学 位 论  文  687-690 [98] P Panchal, N M Ramaswamy, X Su, et al Content Delivery Networks in the Cloud with Distributed Edge Servers in: High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), Nov 2013: 526-532 [99] M Rodrigues, S Fernandes, J Kelner, et al An Analytical View of Multiple CDNs Collaboration in: Advanced Information Networking and Applications (AINA), May 2014: 25-32 [100] S Hasan, S Gorinsky, C Dovrolis, et al Trade-offs in optimizing the cache deployments of cdns in: INFOCOM, Apr 2014: 460-468 [101] W You, B Mathieu, G Simon How to Make Content-Centric Networks Interwork with CDN Networks in: Proceedings of the 4th international conference on Network of the Future, Oct 2013: 1-5 [102] X Jiang, J Bi nCDN: CDN enhanced with NDN in: Computer Communications Workshops (INFOCOM WKSHPS), Apr 2014: 440-445 [103] F Z Yousaf, M Liebsch, A Maeder, et al Mobile CDN enhancements for QoE-improved content delivery in mobile operator networks IEEE Network, Apr 2013, 27(2): 14-21 [104] J H Kamg, K Y Park, K Cho, et al Mobile caching policies for device-to-device (D2D) content delivery networking in: Computer Communications Workshops (INFOCOM WKSHPS), Apr 2014: 299-304 [105] X Wang, M Chen, T "TaekYoung" Kwon, et al Mobile traffic offloading by exploiting social network services and leveraging opportunistic device-to-device sharing IEEE Wireless Communications, Jun 2014, 21(3): 28-36 [106] Y Liu, J Geurts, J Point, et al Dynamic adaptive streaming over CCN: a caching and overhead analysis in: IEEE International Conference on Communications (ICC), Jun 2013: 3629-3633 [107] S Awiphan, T Muto, Y Wang, et al Video streaming over content centric networking: experimental studies on PlanetLab in: Computing, Communications and IT Applications Conference (ComComAp), Apr 2013: 19-24 110   华  中  科  技  大 学 博 士 学 位 论  文  Appendix Academic papers published during the period of PhD degree directory First Author Papers [1] Dung Ong Mau, M Chen, T Taleb, X Wang, V Leung FGPC: Fine-Grained Popularity based Caching Design for Content Centric Networking in: Proceedings of the 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM), Montreal, Canada, Sep 2014: 295-302 [2] Dung Ong Mau, J Wang, L Wang, L Hu, Y Ma, Y Zhang SIMON: Seamless servIce MigratiON in Mobile Network in: Proceedings of the 9th Testbeds and Research Infrastructure: Development of Networks and Communities, Guangzhou, May 2014: 261-270 Springer International Publishing [3] Dung Ong Mau, Y Zhang, T Taleb, M Chen Vehicular Inter-Networking via Named Data-An OPNET Simulation Study in: Proceedings of the 9th Testbeds and Research Infrastructure: Development of Networks and Communities, Guangzhou, May 2014: 116-125 Springer International Publishing Journal Publications [1] M Chen[1], Dung Ong Mau, Y Zhang, T Taleb, V Leung VENDNET: VEhicular Named Data NETwork Vehicular Communications, 2014, 1(4): 208-213 [2] L Hu, Dung Ong Mau, Q Liu, T Han, Y Sun Integration of wireless body area networks (wbans) and wan, wimax and lte KSII Transactions on Internet and Information Systems (TIIS), 2013, 7(5): 980-997 [3] L Hu, Dung Ong Mau, X Zhu, Q Liu, E Song Enabling RFID technology for healthcare: application, architecture, and challenges Telecommunication Systems, Oct 2014, 58(3):259-271 [4] Y Ma, Y Zhang, Dung Ong Mau, R Li, D Zhang Health Internet of Things: Recent Applications and Outlook Journal of Internet Technology, Mar 2015 [1] My Supervisor 111   华  中  科  技  大 学 博 士 学 位 论  文  Conference Papers [1] M Chen, Dung Ong Mau, X Wang, H Wang The Virtue of Sharing: Efficient Content Delivery in Wireless Body Area Networks for Ubiquitous Healthcare in: IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), Lisbon, Portugal, Oct 2013: 669-673 [2] M Chen, Y Ma, J Wang, Dung Ong Mau, E Song Enabling Comfortable Sports Therapy for Patient: A Novel Lightweight Durable and Portable ECG Monitoring System in: IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), Lisbon, Portugal, Oct 2013: 271-273 [3] B Han, X Wang, X Chen, T kwon, Y Choi, Dung Ong Mau, M Chen PPP: Prefix-based Popularity Prediction for Effective Caching in Content-Centric Networking in: Proceedings of the 9th International Conference on Future Internet Technologies (ACM CFI 2014), Tokyo, Japan, Jun 2014 112   华  中  科  技  大 学 博 士 学 位 论  文  Appendix OPNET Modeler simulation tool Network simulation used to be an important tool for researchers and engineers that allows to analyze network’s behavior and performance Network simulator is usually the first place to verify a new idea (a protocol setting, a queuing scheme, etc.) The reasons are various, from lack of hardware (both network devices and appropriate transmission media), through difficulties to modify the equipment (which is often simply impossible), to other problems such as complex configuration of real-world equipment, dependable statistics collection and the requirement to separate simulated process from other activities OPNET Modeler is software tools that model networks using programming language level "objects" From the beginning of building a network model, the workflow centers on the project editor This is used to create network models, collect statistics directly from each network object or from the network, execute a simulation and view results The simulation workflow is illustrated in Fig 2.1 In other to find out the best results or multiple schemes comparison, the simulation is run multi-round rather than only one time execution Figure 2.1 OPNET simulation workflow The main programming language in OPNET is C/C++ development The initial configuration (topology setup, parameter setting) is usually achieved using Graphical User Interface (GUI), a set of XML files or through C library calls Simulation scenarios (e.g., parameter change after some time, topology update, etc.) usually require writing C or C++ code; although in simpler cases one can use special "scenario" parameters The main staging area for creating a network simulation is the project editor Internally, OPNET node models have a modular structure You define a node by connecting various modules with packet streams and statistic wires Process models are 113   华  中  科  技  大 学 博 士 学 位 论  文  represented by Finite State Machines (FSMs) and are created with icons that represent states and lines that represent transitions between states Operations performed in each state or for a transition are described in embedded C or C++ code blocks The link model editor enables for the possibility to create new types of link objects Each new type of link can have different attribute interfaces and representation The path editor is used to create new path objects that define a traffic route Any protocol model that uses logical connections or virtual circuits such as MPLS, ATM, Frame Relay, etc can use paths to route traffic By making use of the packet format editor, it is possible to define the internal structure of a packet as a set of fields A packet format contains one or more fields, represented in the editor as colored rectangular boxes The size of the box is proportional to the number of bits specified as the field’s size The probe editor is used to specify the statistics to be collected By using different probes there are several different types of statistics that can be collected, including global statistics, link statistics, node statistics, attribute statistics, and several types of animation statistics It is mentioned that similar possibilities for collecting statistics are also available under the project editor These are however not as powerful as the probe editor Simulation can be set up to run in sequences which contain a set of attributes that control the simulation’s run-time characteristics The analysis tool has several useful additional features like for instance one can create scalar graphics for parametric studies, define templates for statistical data, create analysis configurations to save and view later Since OPNET’s network equipment models are very detailed, and in fact the simulation process closely reflects the processing that happens in real-world equipment, OPNET’s simulation is relatively slow and requires powerful workstations OPNET is equipped with an advanced GUI interface Although the simulator may be launched from a command line, working with GUI is the default mode On the other hand, the GUI models network elements and protocols in a very nice way; this is really helpful for a user in understanding how the things work Finally, modifications of OPNET behavior are difficult, error-prone and require significant effort and amount of time 114 [...]... copies) 1.3 Research on smart caching, content sharing, network architecture and smart services provisioning in mobile network From the background of CCN protocol introduction, caching decision, replacement policies, and content sharing play crucial roles in CCN’s overall performance We research on smart caching to achieve higher hitting rate and faster convergence speed Moreover, we research on integrated... Introduction This chapter introduces history of Information Centric Networking (ICN), focus on the Content Centric Networking (CCN) and its technology From the motivation behind the CCN architecture project, we introduce our research on smart caching, content sharing, network architecture, and smart services provisioning in mobile networks 1.1 Overview and motivation The network technology for today’s... applications I also give the brief introduction for my research on smart caching, content sharing, network architecture and smart services provisioning in mobile network In the next sections, we are going to describe my research areas one by one in detail 13   华  中  科  技  大 学 博 士 学 位 论  文  2 CCN performance improvement with smart caching Having described the CCN architecture network, operation workflow, and. .. number of requests for each content name, and stores the pair (content name; popularity count) into a content popularity table Once the popularity of a content object reaches a predetermined threshold in a caching node, it is tagged as a popular content and is stored in the cache By storing only popular content, MPC caches less content, saves resources and reduces the number of cache operations, which makes... this section, we propose a solution for Long Term Evolution (LTE) mobile network based on the concept of NDN Furthermore, a novel caching policy dubbed by Fine-Grained Popularity-based Caching (FGPC) is proposed By OPNET Modeler simulation, we carry out the evaluation in realistic mobile network with a huge number of mobility LTE mobile users access to a single serve, where content names and content sizes... is what enables CCN to retrieve content from any CCN node without contacting the content s source Since the name and the content are cryptographically bound together, it is not necessary to trust the nodes or the connection Signature verification provides a means for securely associating a name, a publisher, and content together With appropriate verification only valid content will pass to the client... levels and give suitable lifetime for each content, included new coming content PPCC is PP with periodic exchange prefix information among close by CCN nodes (2) Fine-Grained Popularity-based Caching (FGPC) FGPC maintains a large table to generate three kinds of statistic information, namely i) content names, ii) popularity levels of content by counting the frequency of appearances of a content name, and. .. lifetime of all contents Then, unpopular contents are faster found and deleted before new contents arrive When freq value is low, we increase tu value to keep contents in CS as long as possible For this reason, tu freq is a Constance Fig.2.2 is simulation results about the number of request rate arrival CCN node every 60 seconds and adaptive control lifetime unit 2.2.3 PPCC algorithm Among close-by CCN... was in full state and a new unpopular content arrived Then, one popular content in CS has to be deleted and replaced by arrival unpopular content For this reason, hitting ratio of LRU(LFU) cannot be achieved maximum value From above observation, LRU and LFU ignore the advantage of CCN: ƒ LRU and LFU only base on object name to make replacement decision Since, LRU uses a time stamp on object name while... caching, multiparty communication through replication, and interaction models that decouple senders and receivers The common goal is to achieve efficient and reliable distribution of content by providing a general platform for communication services that are today only available in dedicated systems such as P2P overlays and proprietary content distribution networks The following more recent projects representing