Explore chapters and articles related to this topic
Information-Centric Networking Future Internet Video Delivery
Published in M. Bala Krishna, User-Centric and Information-Centric Networking and Services, 2019
Jordi Ortiz, Pedro Martinez-Julia, Antonio Skarmeta
We propose involving the promising DASH technology within the IoT environment to ease and enhance the video experience on it. In addition, and to ease the transmission of DASH on top of the constrained IoT networks, we propose the introduction of CCN as an abstraction layer for DASH which will ease the transmission and caching of the DASH video content and the location by the network entities. In relation to the fact that video is special content which should be treated carefully by the network, we propose the adoption of the Content-Centric Networking (CCN) architecture [6]. In brief, the CCN architecture is an alternative approach to communication networks where the focus is the content instead of the endpoints.
Information-Centric Networking: Current Research Activities and Challenges
Published in Hassnaa Moustafa, Sherali Zeadally, Media Networks: Architectures, Applications, and Standards, 2016
Bertrand Mathieu, Patrick Truong, Jean-François Peltier, Wei You, Gwendal Simon
CCN forwarding is actually similar to the IP forwarding plane for fast lookup of content names in the Interest packets. Figure 8.3 describes the functional parts of a CCN node: the FIB to find the appropriate interface(s) to which arriving Interest packets should be forwarded to reach the providers of queried content, a Content Store that is the LRU buffer memory for content caching, and a Pending Interest Table (PIT) to keep track of the inbound interfaces of received Interest packets so that a Data packet sent back as a response to an Interest registered in the PIT table will be delivered to the right interface(s).
A Blockchain-enabled edge supported e-challan mechanism for content-centric Internet of Vehicles
Published in Muhammad Maaz Rehan, Mubashir Husain Rehmani, Blockchain-enabled Fog and Edge Computing, 2020
Ali Nawaz Abbasi, Tashjia Anfal, Muhammad Maaz Rehan
The aforementioned technology advancements are the fair resultants of ‘Internet’, which quickly leads towards the client-server connectivity based on Internet protocol (IP) addresses, and the transfer of data packets is dependent on the stable communication link. Over time, increasing the growth rate of vehicles will also impact data traffic, the majority of which currently lies in aforesaid IP-based connectivity. There is a prediction by Cisco visual networking index: The increase in IP traffic will reach the figure of 396 Exabytes by 2022 [7], which will introduce high delay and congestion as a result of host-centric networking. Therefore, it is a future requirement to ultimately switch from host-centric communication. Existing IP-based connection needs to first establish a stable connection between nodes for the successful transfer of data, which could be affected by the fast mobility of vehicles. Because of this route establishment and maintenance, developing a reliable vehicular network is a difficult and complex task [8]. To tackle all of these discrepancies, content-centric networking (CCN) is emerging as a promising future Internet architecture used by several researchers to minimise the delay in content provisioning and effectively dealing with dynamic link connection requirements because of the mobility of vehicles [9–11]. Because of the distributed nature of CCN, the content could be cached at any node in the network, which provides an ultimate alternative to the problem of flooding interest towards only content holders in an IP-based Internet architecture. CCN uses an interest-data topology among provider, source, and router [12], in which consumer demands content by publishing an interest packet regardless of the location of the content, and content could be cached anywhere in the network.
In-network caching in information-centric networks for different applications: A survey
Published in Cogent Engineering, 2023
Some powerful nodes will be selected for the storage of the content to solve the storage limitation. Less space still faster (LF) strategy (L. Zhang et al., 2015) is to choose the appropriate nodes for caching on the transmission path that is based on some criteria, such as the available space of the node, distance from the forwarding node to requesting one, the data popularity, and the duplicate storage. Our previous work (Doan Van & Mau, 2016) gave a novel Multi-Source Content-Centric Networking (MS-CCN) by using the concept of Multi-Source Mobile Streaming (MS2) with CCN scheme. In the MS-CCN model, the caching of each content is not limited to a single server anymore; instead, each content is fragmented and distributed to multiple servers over a large scale network. After experiencing disjoint multi-paths, various content fragments are concatenated at the client-side.
Efficient name matching based on a fast two-dimensional filter in named data networking
Published in International Journal of Parallel, Emergent and Distributed Systems, 2019
The emerging of Information-Centric Networking (ICN) [1] as a future Internet architecture allows the shifting of the paradigm from the conventional ‘host-to-host’ pattern to the ‘object-to-object’ pattern, where information objects, associated with names (which are potentially human-readable), are a first-class abstraction. For example, Content-Centric Networking (CCN) [2] and Named Data Networking (NDN) [3] are two closely related ICN proposals. In CCN and NDN, forwarding and routing are name-oriented. Specifically, in order to retrieve information objects, users send a specific type of packets (called Interests) bearing the hierarchically structured, URL-like names of those objects. Based on these names, routers forward these packets using a longest-prefix-matching lookup algorithm to look up the outbound ports from the name-prefix-based forwarding information base (FIB) [4].