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Статті в журналах з теми "ICN Information Centric Networking":
Fotiou, Nikos. "Information-Centric Networking (ICN)." Future Internet 12, no. 2 (February 13, 2020): 35. http://dx.doi.org/10.3390/fi12020035.
Trossen, Dirk, and Alexandros Kostopoulos. "Techno-Economic Aspects of Information-Centric Networking." Journal of Information Policy 2, no. 1 (January 1, 2012): 26–50. http://dx.doi.org/10.5325/jinfopoli.2.2012.26.
Guesmi, Tawfik, Anwar Kalghoum, Badr M. Alshammari, Haitham Alsaif, and Ahmed Alzamil. "Leveraging Software-Defined Networking Approach for Future Information-Centric Networking Enhancement." Symmetry 13, no. 3 (March 9, 2021): 441. http://dx.doi.org/10.3390/sym13030441.
Fotiou and Polyzos. "Name-Based Security for Information-Centric Networking Architectures." Future Internet 11, no. 11 (November 1, 2019): 232. http://dx.doi.org/10.3390/fi11110232.
Rao T, Srinivasa, Harsha G, Kiran V, and Hemanth Kumar K. "Dos flooding attack control in information-centric networks." International Journal of Engineering & Technology 7, no. 1.1 (December 21, 2017): 303. http://dx.doi.org/10.14419/ijet.v7i1.1.9708.
Fethellah, Nour El Houda, Hafida Bouziane, and Abdallah Chouarfia. "NECS-based Cache Management in the Information Centric Networking." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 21 (November 9, 2021): 172. http://dx.doi.org/10.3991/ijim.v15i21.20011.
Zeng, Li, Hong Ni, and Rui Han. "An Incrementally Deployable IP-Compatible-Information-Centric Networking Hierarchical Cache System." Applied Sciences 10, no. 18 (September 8, 2020): 6228. http://dx.doi.org/10.3390/app10186228.
Dowling, Anthony, Lauren Huie, Laurent Njilla, Hong Zhao, and Yaoqing Liu. "Toward long-range adaptive communication via information centric networking." Intelligent and Converged Networks 2, no. 1 (March 2021): 1–15. http://dx.doi.org/10.23919/icn.2021.0001.
Liu, Yan, Jun Cai, Huimin Zhao, Shunzheng Yu, JianLiang Ruan, and Hua Lu. "Efficient Coded-Block Delivery and Caching in Information-Centric Networking." Discrete Dynamics in Nature and Society 2020 (June 10, 2020): 1–16. http://dx.doi.org/10.1155/2020/3838547.
Song, Yaqin, Hong Ni, and Xiaoyong Zhu. "Two-Level Congestion Control Mechanism (2LCCM) for Information-Centric Networking." Future Internet 13, no. 6 (June 7, 2021): 149. http://dx.doi.org/10.3390/fi13060149.
Дисертації з теми "ICN Information Centric Networking":
Sadek, Ahmed. "Forwarding Strategies in Information Centric Networking." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194247.
2000-talets Internet är en annan version av det ursprungliga Internet. Internet blir mer och mer ett stort distributionsnät för stora mängder data (foton, musik och video) med olika typer av anslutningar och behov. TCP / IP är arbetshäst för Internet var tänkt som ett fordon för att transportera best effort Anslutning orienterade uppgifter där huvudfokus handlar om att transportera data från punkt A till punkt B, oavsett vilken typ av data eller vilken typ av väg. Information Centric Nätverk (ICN) är ett nytt paradigmskifte inom nätverk där fokus i nätverket flyttas från värdadressen till innehållets namn. Den aktuella TCP / IP-modellen för transport av data beror på att etablera en anslutning mellan klient och server (s.k. end-to-end). I ICN begär klienten data med namn och begäran hanteras av nätverket utan att behöva gå till en fix serveradress eftersom varje nod i nätverket kan besvara en begäran med data. ICN arbetar på en ”hop by hop” basis där varje nod har överblick över det begärda innehållet, vilket gör det möjligt att ta mer avancerade beslut i jämförelse med TCP / IP, där den vidarebefordrande nodens beslut fattas baserat på källans och destinationens IP-adresser. Det finns olika implementeringar av ICN med olika visioner och en av dessa implementeringar heter Named Data Networking (NDN) och det är vad vi använder för vårt arbete. NDNs / ICNs arkitektur består av olika lager och ett av dessa lager är Forwarding Strategies (FS) där vi definierar de åtgärder vi vidtar på varje begäran / svar. I detta projekt implementeras och simuleras tre Forwarding strategier (Best Face Selection, Round Robin, och Weighted Round Robin) och undersöks hur de kan anpassa sig till förändringar i länkbandbredd med konstant och variabel trafikhastigheten. Vi utfört ett antal simuleringar med hjälp av ndnSIMv2.1 simulatorn. Vi drog slutsatsen att Weighted Round Robin erbjuder hög genomströmning och tillförlitlighet i jämförelse med de två andra strategierna. De tre strategierna erbjuder även högre tillförlitlighet än att använda ett enda statiskt interface och erbjuder lägre kostnad än att använda broadcast strategin. Vi konstaterade också att det finns ett behov av en dynamisk ”congestion control”-algoritm som tar hänsyn till ICNs dynamiska karaktär.
Linguaglossa, Leonardo. "Two challenges of software networking : name-based forwarding and table verification." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCC306/document.
This thesis addresses two major aspects of the Internet evolution problem: a behavioral aspect, corresponding to a new type of interactions between users and the network, and a structural aspect, which refers to the evolution problem from an architectural point of view.The manuscript consists of an introductory chapter which outlines the research directions of this thesis, followed by a chapter on the description of the state of the art on the two aforementioned aspects.Among the solutions proposed by the scientific community to adapt to the evolution of the Internet, two new network paradigms are described: Information- Centric Networking (ICN) and Software-Defined Networking (SDN).The thesis continues with the description of "Caesar", a network device, inspired by ICN, capable of managing the distribution of content using forwarding primitives based on the content name and not a server address. Caesar is presented in two chapters describing the architecture of two main modules: theforwarding module, and the pending request management.The second part of the manuscript describes a mathematical tool for the effective loop detection in an SDN network from a theoretical point of view. Some algorithms are proposed and the improvements with respect ta the prior work are discussed.The thesis is concluded with a summary of the main results and a presentation of current and future work
Meddeb, Maroua. "Information-Centric Networking, A natural design for IoT applications?" Thesis, Toulouse, INSA, 2017. http://www.theses.fr/2017ISAT0013/document.
The Internet of Things (IoT) is commonly perceived as the extension of the current Internet to our physical world. It interconnects an unprecedented number of sensors/actuators, referred as things, to the Internet. Facing the important challenges imposed by devices heterogeneity and the tremendous generated traffic, the current Internet protocol suite has reached its limits. The Information-Centric Networking (ICN) has recently received a lot of attention as a potential Internet architecture to be adopted in an IoT ecosystem. The ICN paradigm is shaping the foreseen future Internet architecture by focusing on the data itself rather than its hosting location. It is a shift from a host-centric! communication model to a content-centric one supporting among! others unique and location-independent content names, in-network caching and name-based routing. By leveraging the easy data access, and reducing both the retrieval delay and the load on the data producer, the ICN can be a viable framework to support the IoT, interconnecting billions of heterogeneous constrained objects. Among several ICN architectures, the Named Data Networking (NDN) is considered as a suitable ICN architecture for IoT systems. Nevertheless, new issues have emerged slowing down the ambitions besides using the ICN paradigm in IoT environments. In fact, we have identified three major challenges. Since IoT devices are usually resource-constrained with harsh limitations on energy, memory and processing power, the adopted in-network caching techniques should be optimized. Furthermore, IoT data are transient and frequently updated by the producer which imposes stringent requirements to maintain cached data freshness. Finally, in IoT scenario, devices are ! frequently mobile and IoT applications require keeping data continuity. In this thesis, we propose a caching strategy that considers devices constraints. Then, we introduce a novel cache freshness mechanism to monitor the validity of cached contents in an IoT environment. Furthermore, to improve caching efficiency, we also propose a cache replacement policy that targets to raise the system performances and maintain data freshness. Finally, we introduce a novel name-based routing for NDN/IoT networks to support the producer mobility. We simulate and compare our proposals to several relevant schemes under a real traffic IoT network. Our schemes exhibit good system performances in terms of hop reduction ratio, server hit reduction ratio, response latency and packet loss, yet it provides a low cache cost and significantly improves the content validity
Samain, Jacques. "Improving quality of experience in multimedia streaming by leveraging Information-Centric Networking." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT012/document.
Information-Centric Networking (ICN) is a promising architecture to address today Internet multimedia traffic explosion and increasing user mobility: not only to enhance the user’s quality of experience, but also to naturally and seamlessly extend video sup- port deeper in the network functions. However, to the best of our knowledge, a thorough assessment of the benefits brought by ICN to multimedia delivery has not been done yet. In this thesis, we aim at reducing the gap to such assessment, by considering ICN in various multimedia delivery scenarios.First, we assess the benefits brought by an ICN-based Dynamic Adaptive Streaming (DAS) compared to TCP/IP based streaming, by means of an experimental campaign that includes multiple channels (e.g., emulated Wi-Fi and LTE, real 3G/4G traces), multiple clients (homogeneous vs heterogeneous mixture, synchronous vs asynchronous arrivals) and carefully selected DAS adaptation logics to cover the broad families of available adaptation algorithms. We also warn about potential pitfalls that are nonethelesseasily avoidable.Second, we show how network assistance helps im- proving the users’ quality of experience. To do so, we leverage the in-network caching feature of ICN and propose a simple periodical network signal from the cache (i.e., per-quality hit ratio) to be exploited by DAS adaptation logic to enhance further the user’s quality of experience by avoiding the known cache-induced quality oscillations. We confirm the soundness of our approach through experiments.Finally, as live multimedia delivery is gaining momentum, we propose hICN-RTC by integrating hICN (hybrid ICN), an ICN-in-IP solution, to WebRTC and we design RICTP (Realtime Information Centric Trans- port Protocol), a content-aware transport that minimizes the communication latency. Although still in development, the results we gathered from early experiments are promising as they show that hICN-RTC scales with the number of active speakers rather than the total number of participants
Bernardini, César. "Stratégies de Cache basées sur la popularité pour Content Centric Networking." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0121/document.
Content Centric Networking (CCN) is a new architecture for a future Internet. CCN includes in-network caching capabilities at every node. Its effciency depends drastically on performances of caching strategies. A lot of studies proposing new caching strategies to improve the performances of CCN. However, among all these strategies, it is still unclear which one performs better as there is a lack of common environment to compare these strategies. In this thesis, we address the challenge of selecting the best caching strategies for CCN. The contribution of this thesis are the following. We build a common evaluation scenario and we compare via simulation the state of the art caching strategies: Leave Copy Everywhere (LCE), Leave Copy Down (LCD), ProbCache, Cache "Less" For More and MAGIC. We analyze the performance of all the strategies in terms of Cache Hit, Stretch, Diversity and Complexity, and determine the cache strategy that fits the best with every scenario. Later on, we propose two novel caching strategies for CCN based on popularity. First, we study popularity of content and we present Most Popular Caching (MPC) strategy. MPC privileges distribution of popular caches into the caches and thus, it overcomes other caching strategies. Second, we present an alternative caching strategy based on social networks: Socially-Aware Caching Strategy (SACS). SACS privileges distribution of content published by influential users into the network. Both caching strategies overcome state of the art mechanisms and, to the best of our knowledge, we are the first to use social information to build caching strategies
Mansilha, Rodrigo Brandão. "Paralelizando unidades de cache hierárquicas para roteadores ICN." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/164574.
A key challenge in Information Centric Networking (ICN) is to develop cache units (also called Content Store - CS) that meet three requirements: large storage space, fast operation, and affordable cost. The so-called HCS (Hierarchical Content Store) is a promising approach to satisfy these requirements jointly. It explores the correlation between content requests to predict future demands. Theoretically, this idea would enable proactively content transfers from a relatively large but slow cache area (Layer 2 - L2) to a faster but smaller cache area (Layer 1 - L1). Thereby, it would be possible to increase the throughput and size of CS in one order of magnitude, while keeping the cost. However, the development of HCS introduces several practical challenges. HCS requires a careful coupling of L2 and L1 memory levels considering their transfer rates and sizes. This requirement depends on both hardware specifications (e.g., read rate L2, use of multiple physical SSD in parallel, bus speed, etc.), and software aspects (e.g., the SSD controller, memory management, etc.). In this context, this thesis presents two main contributions. First, we propose an architecture for overcoming the HCS bottlenecks by parallelizing multiple HCS. In summary, the proposed scheme overcomes racing condition related challenges through deterministic partitioning of content requests among multiple threads. Second, we propose a methodology to investigate the development of HCS exploiting emulation techniques and analytical modeling jointly. The proposed methodology offers advantages over prototyping and simulation-based methods. We emulate the L2 to enable the investigation of a variety of boundary scenarios that are richer (regarding both hardware and software aspects) than would be possible through prototyping (considering current technologies). Moreover, the emulation employs real code from a prototype for the other components of the HCS (e.g., L1, layers management and API) to provide more realistic results than would be obtained through simulation.
Anto, Morais Faustina J. "Implementation of Cache Attack on Real Information Centric Networking System." UNF Digital Commons, 2018. https://digitalcommons.unf.edu/etd/834.
Rossini, Giuseppe. "Analyse et design des stratégies d'acheminement pour les réseaux centrés sur l'hôte et sur le contenu." Thesis, Paris, ENST, 2014. http://www.theses.fr/2014ENST0005.
Starting from the evidence of the Internet’s actual limits, in this Thesis we investigate different aspects of two directions the Internet is evolving toward. In particular, we consider more flexible ways to reach hosts, and to distribute content. Host Centric Networking (HCN) is the name we give to the umbrella architectures which try to decouple host location and identifiers. Basically, they identify each device by the means of flat labels which do not locate the host within the network. HCN architectures leverage Distributed Hash Table(DHT) approaches for retrieving the host position from the corresponding label. However, routing and forwarding underlying the DHT, heavily rely on traditional single path algorithms. Thus, in the first part we propose APLASIA, an alternative routing architecture mainly composed by a path-finding algorithm, namely APL, and by an autoforwarding data plane. Information Centric Networking (ICN) makes content directly addressable by network hosts. The basic idea is to send packets carrying the content identifier, rather than the host address. As content can be easily cached within network devices, an ICN network can be modeled as a receiver driven network of caches. Indeed, in the second part of this work, we consider caching algorithms deployed over a network of caches. Each of these algorithms is a triplet composed by forwarding (which path is worth following), meta-caching (what content is worth caching), and replacement (what content is worth replacing) strategies
Aubry, Elian. "Protocole de routage pour l’architecture NDN." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0267/document.
Internet is a mondial content network and its use grows since several years. Content delivery such as P2P or video streaming generates the main part of the Internet traffic and Named Data Networks (NDN) appear as an appropriate architecture to satisfy the user needs. Named-Data Networking is a novel clean-slate architecture for Future Internet. It has been designed to deliver content at large scale and integrates several features such as in-network caching, security, multi-path. However, the lack of scalable routing scheme is one of the main obstacles that slow down a large deployment of NDN at an Internet-scale. As it relies on content names instead of host address, it cannot reuse the traditional routing scheme on the Internet. In this thesis, we propose to use the Software-Defined Networking (SDN) paradigm to decouple data plane and control plane and present SRSC, a new routing scheme for NDN based on SDN paradigm. Our solution is a clean-slate approach, using only NDN messages and the SDN paradigm. We implemented our solution into the NS-3 simulator and perform extensive simulations of our proposal. SRSC show better performances than the flooding scheme used by default in NDN. We also present a new NDN testbed and the implementation of our protocol SRSC, a Controlled-based Routing Scheme for NDN. We implemented SRSC into NDNx, the NDN implementation, and deployed it into a virtual environment through Docker. Our experiments demonstrate the ability of our proposal to forward Interest, while keeping a low computation time for the Controller and low delay to access Content. Moreover, we propose a solution to easily deploy and evaluate NDN network, and we compare SRSC with NLSR, the current routing protocol used in NDNx
Mehamel, Sarra. "New intelligent caching and mobility strategies for MEC /ICN based architectures." Thesis, Paris, CNAM, 2020. http://www.theses.fr/2020CNAM1284.
Mobile edge computing (MEC) concept proposes to bring the computing and storage resources in close proximity to the end user by placing these resources at the network edge. The motivation is to alleviate the mobile core and to reduce latency for mobile users due to their close proximity to the edge. MEC servers are candidates to host mobile applications and serve web contents. Edge caching is one of the most emerging technologies recognized as a content retrieval solution in the edge of the network. It has been also considered as enabling technology of mobile edge computing that presents an interesting opportunity to perform caching services. Particularly, the MEC servers are implemented directly at the base stations which enable edge caching and ensure deployment in close-proximity to the mobile users. However, the integration of servers in mobile edge computing environment (base stations) complicates the energy saving issue because the power consumed by mobile edge computing servers is costly especially when the load changes dynamically over time. Furthermore, users with mobile devices arise their demands, introducing the challenge of handling such mobile content requests beside the limited caching size. Thus, it is necessary and crucial for caching mechanisms to consider context-aware factors, meanwhile most existing studies focus on cache allocation, content popularity and cache design. In this thesis, we present a novel energy-efficient fuzzy caching strategy for edge devices that takes into consideration four influencing features of mobile environment, while introducing a hardware implementation using Field-Programmable Gate Array (FPGA) to cut the overall energy requirements. Performing an adequate caching strategy on MEC servers opens the possibility of employing artificial intelligence (AI) techniques and machine learning at mobile network edges. Exploiting users context information intelligently makes it possible to design an intelligent context-aware mobile edge caching. Context awareness enables the cache to be aware of its environment, while intelligence enables each cache to make the right decisions of selecting appropriate contents to be cached so that to maximize the caching performance. Inspired by the success of reinforcement learning (RL) that uses agents to deal with decision making problems, we extended our fuzzy-caching system into a modified reinforcement learning model. The proposed framework aims to maximize the cache hit rate and requires a multi awareness. The modified RL differs from other RL algorithms in the learning rate that uses the method of stochastic gradient decent beside taking advantage of learning using the optimal caching decision obtained from fuzzy rules
Книги з теми "ICN Information Centric Networking":
Dutta, Nitul, Hiren Kumar Deva Sarma, Rajendrasinh Jadeja, Krishna Delvadia, and Gheorghita Ghinea. Information Centric Networks (ICN). Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-46736-4.
Krishna, M. Bala. User-Centric and Information-Centric Networking and Services: Access Networks and Emerging Trends. Taylor & Francis Group, 2019.
Arera-Rütenik, Tobias, Stefan Breitling, Rainer Drewello, Mona Hess, and Gerhard Vinken, eds. The Centre for Heritage Conservation Studies and Technologies 2016-2018. University of Bamberg Press, 2021. http://dx.doi.org/10.20378/irb-49842.
Частини книг з теми "ICN Information Centric Networking":
Ma, Yuxiang, Yulei Wu, and Jingguo Ge. "An Information-Centric Networking Based Architecture." In Accountability and Privacy in Network Security, 115–35. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6575-5_7.
Braun, Torsten, and Tuan Anh Trinh. "Energy Efficiency Issues in Information-Centric Networking." In Energy Efficiency in Large Scale Distributed Systems, 271–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40517-4_22.
Lu, Yuming, Tao Hu, and Xiaojun Wang. "Information Centric Networking Media Streaming Experiment Platform Design." In Lecture Notes in Computer Science, 332–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73830-7_33.
Gupta, Divya, Shalli Rani, and Syed Hassan Ahmed. "Performance Analysis of Caching Strategies in Information-Centric Networking." In Lecture Notes in Networks and Systems, 77–85. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9689-6_9.
Nagashima, Kaoru, Yuzo Taenaka, Akira Nagata, Hitomi Tamura, Kazuya Tsukamoto, and Myung Lee. "Matching Based Content Discovery Method on Geo-Centric Information Platform." In Advances in Intelligent Networking and Collaborative Systems, 470–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57796-4_45.
Jones, Andrew, and Robert Simon. "A Privacy-Preserving Collaborative Caching Approach in Information-Centric Networking." In Lecture Notes in Computer Science, 133–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64348-5_11.
Ray, Santosh Kumar, and Shailendra Singh. "Rough Set Based Social Networking Framework to Retrieve User-Centric Information." In Lecture Notes in Computer Science, 184–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10646-0_22.
Alhisnawi, Mohammad. "Forwarding Information Base Design Techniques in Content-Centric Networking: A Survey." In Lecture Notes in Networks and Systems, 157–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0666-3_15.
Guo, Yang, Jiang Cao, Yuan Gao, Yanchang Du, Shaochi Cheng, and Shuang Song. "Capability Assessment of Networking Information-Centric System of Systems: Review and Prospect." In Communications in Computer and Information Science, 39–46. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3442-3_4.
Zhang, Qingyi, Xingwei Wang, Min Huang, and Jianhui Lv. "Information-Centric Networking Routing Challenges and Bio/ACO-Inspired Solution: A Review." In Lecture Notes in Computer Science, 113–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93815-8_12.
Тези доповідей конференцій з теми "ICN Information Centric Networking":
Pan, Tian, Cheng Xu, Jianhui Lv, Qianqian Shi, Qing Li, Chenhao Jia, Tao Huang, and Xingchen Lin. "LD-ICN: Towards Latency Deterministic Information-Centric Networking." In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2019. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2019.00140.
Shailendra, Samar, Bighnaraj Panigrahi, Senthilmurugan Sengottuvelan, Hemant Kumar Rath, and Anantha Simha. "Distributed optimal caching for Information Centric Networking (ICN)." In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2016. http://dx.doi.org/10.1109/pimrc.2016.7794941.
Scherb, Christopher, Dennis Grewe, and Christian Tschudin. "Tangle centric networking." In ICN '21: 8th ACM Conference on Information-Centric Networking. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460417.3483378.
Moiseenko, Ilya, and Dave Oran. "TCP/ICN." In ICN'16: 3rd International Conference on Information-Centric Networking. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2984356.2984357.
Gündoğran, Cenk, Peter Kietzmann, Thomas C. Schmidt, and Matthias Wählisch. "ICN-LoWPAN." In ICN '18: 5th ACM Conference on Information-Centric Networking. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3267955.3269006.
Saino, Lorenzo, Ioannis Psaras, and George Pavlou. "Icarus: a Caching Simulator for Information Centric Networking (ICN)." In Seventh International Conference on Simulation Tools and Techniques. ICST, 2014. http://dx.doi.org/10.4108/icst.simutools.2014.254630.
Hahm, Oliver, Cédric Adjih, Emmanuel Baccelli, Thomas C. Schmidt, and Matthias Wählisch. "ICN over TSCH." In ICN'16: 3rd International Conference on Information-Centric Networking. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2984356.2985226.
Sardara, Mauro, Luca Muscariello, Jordan Augé, Marcel Enguehard, Alberto Compagno, and Giovanna Carofiglio. "Virtualized ICN (vICN)." In ICN '17: 4th International Conference on Information-Centric Networking. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3125719.3125726.
Schmidt, Thomas C., Sebastian Wölke, Nora Berg, and Matthias Wählisch. "Partial Adaptive Name Information in ICN." In ICN'15: 2nd International Conference on Information-Centric Networking. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2810156.2812603.
Sollins, Karen R. "Pervasive persistent identification for information centric networking." In the second edition of the ICN workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2342488.2342490.
Звіти організацій з теми "ICN Information Centric Networking":
Eum, S., K. Pentikousis, I. Psaras, D. Corujo, D. Saucez, T. Schmidt, and M. Waehlisch. Information-Centric Networking (ICN) Research Challenges. Edited by D. Kutscher. RFC Editor, July 2016. http://dx.doi.org/10.17487/rfc7927.
Wissingh, B., C. Wood, A. Afanasyev, L. Zhang, D. Oran, and C. Tschudin. Information-Centric Networking (ICN): Content-Centric Networking (CCNx) and Named Data Networking (NDN) Terminology. RFC Editor, June 2020. http://dx.doi.org/10.17487/rfc8793.
Rahman, A., D. Trossen, D. Kutscher, and R. Ravindran. Deployment Considerations for Information-Centric Networking (ICN). RFC Editor, April 2020. http://dx.doi.org/10.17487/rfc8763.
Lederer, S., D. Posch, C. Timmerer, A. Azgin, W. Liu, C. Mueller, A. Detti, et al. Adaptive Video Streaming over Information-Centric Networking (ICN). Edited by C. Westphal. RFC Editor, August 2016. http://dx.doi.org/10.17487/rfc7933.
Seedorf, J., M. Arumaithurai, A. Tagami, K. Ramakrishnan, and N. Blefari-Melazzi. Research Directions for Using Information-Centric Networking (ICN) in Disaster Scenarios. RFC Editor, October 2020. http://dx.doi.org/10.17487/rfc8884.
Hong, J., T. You, L. Dong, C. Westphal, and B. Ohlman. Design Considerations for Name Resolution Service in Information-Centric Networking (ICN). RFC Editor, December 2021. http://dx.doi.org/10.17487/rfc9138.
Gündoğan, C., T. Schmidt, M. Wählisch, C. Scherb, C. Marxer, and C. Tschudin. Information-Centric Networking (ICN) Adaptation to Low-Power Wireless Personal Area Networks (LoWPANs). RFC Editor, November 2021. http://dx.doi.org/10.17487/rfc9139.
Oran, D. Considerations in the Development of a QoS Architecture for CCNx-Like Information-Centric Networking Protocols. RFC Editor, June 2021. http://dx.doi.org/10.17487/rfc9064.
Ohlman, B., D. Corujo, G. Boggia, G. Tyson, E. Davies, A. Molinaro, and S. Eum. Information-Centric Networking: Baseline Scenarios. Edited by K. Pentikousis. RFC Editor, March 2015. http://dx.doi.org/10.17487/rfc7476.
Ohlman, B., E. Davies, S. Spirou, and G. Boggia. Information-Centric Networking: Evaluation and Security Considerations. Edited by K. Pentikousis. RFC Editor, September 2016. http://dx.doi.org/10.17487/rfc7945.