Design and evaluation of coordinated in-network caching model for content centric networking

Xu, Yuemei, Ci, Song, Li, Yang, Lin, Tao and Li, Gang 2016, Design and evaluation of coordinated in-network caching model for content centric networking, Computer networks, vol. 110, pp. 266-283, doi: 10.1016/j.comnet.2016.10.004.

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Title Design and evaluation of coordinated in-network caching model for content centric networking
Author(s) Xu, Yuemei
Ci, Song
Li, Yang
Lin, Tao
Li, GangORCID iD for Li, Gang
Journal name Computer networks
Volume number 110
Start page 266
End page 283
Total pages 18
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-12-09
ISSN 1389-1286
Keyword(s) In-network caching
Dynamic request routing
Content centric networking
Summary In-network caching has been widely adopted in Content Centric Networking (CCN) to accelerate data delivery, mitigate server load and reduce network traffic. However, the line-speed requirement makes the in-network caching space very limited. With the rapid growth of network traffic, it is significant challenging to decide content placement in such limited cache space. To conquer this conflict, coordinated in-network caching schemes are needed so as to maximize the profit of ubiquitous caching capacities. In particular, in-network caching in CCN is deployed as an arbitrary network topology and naturally supports dynamic request routing. Therefore, content placement scheme and dynamic request routing are tightly coupled and should be addressed together. In this paper, we propose a coordinated in-network caching model to decide the optimal content placement and the shortest request routing path under constraints of cache space and link bandwidth in a systematic fashion. Via extensive simulations, the effectiveness and efficiency of our proposed model has been validated.
Language eng
DOI 10.1016/j.comnet.2016.10.004
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Elsevier
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