CAINE: a context-aware information-centric network ecosystem

Kamel, George, Wang, Ning, Vassilakis, Vassilios, Zhili, Sun, Navaratnam, Pirabakaran, Wang, Chonggang, Dong, Lijun and Tafazolli, Rahim (2015) CAINE: a context-aware information-centric network ecosystem. IEEE Communications Magazine, 53 (8). pp. 176-183. ISSN 0163-6804

[thumbnail of IEEE_Com_Mag_2015_Manuscript.pdf]
IEEE_Com_Mag_2015_Manuscript.pdf - Accepted Version

Download (954kB) | Preview


Information-centric networking (ICN) is an emerging networking paradigm that places content identifiers rather than host identifiers at the core of the mechanisms and protocols used to deliver content to end users. Such a paradigm allows routers enhanced with content-awareness to play a direct role in the routing and resolution of content requests from users, without any knowledge of the specific locations of hosted content. However, to facilitate good network traffic engineering and satisfactory user QoS, content routers need to exchange advanced network knowledge to assist them with their resolution decisions. In order to maintain the location-independency tenet of ICNs, such knowledge (known as context information) needs to be independent of the locations of servers. To this end, we propose CAINE - Context-Aware Information-centric Network Ecosystem - which enables context-based operations to be intrinsically supported by the underlying ICN routing and resolution functions. Our approach has been designed to maintain the location-independence philosophy of ICNs by associating context information directly to content rather than to the physical entities such as servers and network elements in the content ecosystem, while ensuring scalability. Through simulation, we show that based on such location-independent context information, CAINE is able to facilitate traffic engineering in the network, while not posing a significant control signalling burden on the network.

Item Type: Article
Identifier: 10.1109/MCOM.2015.7180525
Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Servers, Context modeling, Routing, Information filters, Signal resolution, Information technology, Telecommunication network management
Subjects: Computing
Depositing User: Vasileios Vasilakis
Date Deposited: 30 Jun 2016 11:05
Last Modified: 06 Feb 2024 15:50


Downloads per month over past year

Actions (login required)

View Item View Item