DocumentCode :
266068
Title :
Quality of service in an information-centric network
Author :
Al-Naday, Mays F. ; Bontozoglou, Andreas ; Vassilakis, Vassilios G. ; Reed, Martin J.
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
1861
Lastpage :
1866
Abstract :
QoS provisioning is one of the key challenges facing current as well as future Internet architectures. Its dependency on content recognition does not allow a straightforward support of QoS in the IP, host-centric, model. In contrast, Information-Centric Networking (ICN) offers native content identification in the network, which can be exploited to develop a common, elegant, framework for supporting QoS-based delivery. Therefore, ICN may naturally overcome many of the cumbersome fixes and limitations of today´s solutions. In this work, we exploit the flexibility in semantic representation offered by ICN to present a flexible and scalable ICN-based QoS model. Our model defines QoS requirements as information items that can be linked to the content at various aggregation levels, independent of the communication approach. Therefore, it can be applied uniformly to various network types and hierarchies. Furthermore, our model offers enhanced traffic treatment as well as resource utilization while significantly reducing the overhead on the network.
Keywords :
IP networks; Internet; quality of service; ICN-based QoS model; IP; Internet architecture; QoS provisioning; QoS requirements; QoS-based delivery; aggregation level; communication approach; content identification; content recognition; enhanced traffic treatment; information-centric network; network overhead reduction; quality of service; resource utilization; semantic representation; Bandwidth; Diffserv networks; IP networks; Load modeling; Quality of service; Routing; Scalability; DiffServ; Information-Centric Networks; IntServ; MPLS-TE; QoS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037079
Filename :
7037079
Link To Document :
بازگشت