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CAINE: A Context-Aware Information-Centric Network Ecosystem

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CAINE: A Context-Aware Information-Centric Network Ecosystem. / Kamel, George; Wang, Ning; Vasilakis, Vasileios; Sun, Zhili; Navaratnam, Pirabakaran; Wang, Chonggang; Dong, Lijun; Tafazolli, Rahim.

In: IEEE Communications Magazine, Vol. 53, No. 8, 05.08.2015, p. 176-183.

Research output: Contribution to journalArticlepeer-review

Harvard

Kamel, G, Wang, N, Vasilakis, V, Sun, Z, Navaratnam, P, Wang, C, Dong, L & Tafazolli, R 2015, 'CAINE: A Context-Aware Information-Centric Network Ecosystem', IEEE Communications Magazine, vol. 53, no. 8, pp. 176-183.

APA

Kamel, G., Wang, N., Vasilakis, V., Sun, Z., Navaratnam, P., Wang, C., Dong, L., & Tafazolli, R. (2015). CAINE: A Context-Aware Information-Centric Network Ecosystem. IEEE Communications Magazine, 53(8), 176-183.

Vancouver

Kamel G, Wang N, Vasilakis V, Sun Z, Navaratnam P, Wang C et al. CAINE: A Context-Aware Information-Centric Network Ecosystem. IEEE Communications Magazine. 2015 Aug 5;53(8):176-183.

Author

Kamel, George ; Wang, Ning ; Vasilakis, Vasileios ; Sun, Zhili ; Navaratnam, Pirabakaran ; Wang, Chonggang ; Dong, Lijun ; Tafazolli, Rahim. / CAINE: A Context-Aware Information-Centric Network Ecosystem. In: IEEE Communications Magazine. 2015 ; Vol. 53, No. 8. pp. 176-183.

Bibtex - Download

@article{031dc329dade471db2e7e12f9c11e2cd,
title = "CAINE: A Context-Aware Information-Centric Network Ecosystem",
abstract = "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.",
keywords = "servers, context modelling, routing, information filters, signal resolution, information technology, telecommunication network management",
author = "George Kamel and Ning Wang and Vasileios Vasilakis and Zhili Sun and Pirabakaran Navaratnam and Chonggang Wang and Lijun Dong and Rahim Tafazolli",
year = "2015",
month = aug,
day = "5",
language = "English",
volume = "53",
pages = "176--183",
journal = "IEEE Communications Magazine",
issn = "0163-6804",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - CAINE: A Context-Aware Information-Centric Network Ecosystem

AU - Kamel, George

AU - Wang, Ning

AU - Vasilakis, Vasileios

AU - Sun, Zhili

AU - Navaratnam, Pirabakaran

AU - Wang, Chonggang

AU - Dong, Lijun

AU - Tafazolli, Rahim

PY - 2015/8/5

Y1 - 2015/8/5

N2 - 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.

AB - 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.

KW - servers

KW - context modelling

KW - routing

KW - information filters

KW - signal resolution

KW - information technology

KW - telecommunication network management

M3 - Article

VL - 53

SP - 176

EP - 183

JO - IEEE Communications Magazine

JF - IEEE Communications Magazine

SN - 0163-6804

IS - 8

ER -