DocumentCode :
2586738
Title :
An Optimal Information Centric Networking Model for the Future Green Network
Author :
Nguyen, Quang N. ; Arifuzzaman, M. ; Miyamoto, T. ; Takuro, Sato
Author_Institution :
Grad. Sch. of Inf. & Telecommun., Studies Waseda Univ., Tokyo, Japan
fYear :
2015
fDate :
25-27 March 2015
Firstpage :
272
Lastpage :
277
Abstract :
In order to address the energy flaw and enhance the energy efficiency of Information Centric Networking (ICN) Architecture, this research proposes an innovated optimal ICN model with adaptive power consumption ability based on the popularity of the content to adapt content router link rate to its real-time utilization for optimizing the ICN router operating power value and based on the interest traffic to the server to select the optimal working mode for the server/content provider. With this dynamic control/adaptive mechanism, the proposed architecture can provide higher reliability with dynamic energy efficiency consumption and better cost-effectiveness for the future ICN infrastructure system to reduce electricity usage, cost and greenhouse gases, then solve global warming issues.
Keywords :
IP networks; cost reduction; global warming; green computing; power aware computing; telecommunication network routing; ICN architecture; ICN router; IP network; adaptive power consumption ability; content router link rate; cost reduction; dynamic adaptive mechanism; dynamic control mechanism; dynamic energy efficiency consumption; electricity usage reduction; energy flaw; global warming issues; green network; greenhouse gas reduction; information centric networking architecture; optimal ICN model; optimal information centric networking model; Adaptation models; Energy consumption; Green products; Network topology; Power demand; Proposals; Servers; Adaptive Link Rate (ALR); Future Internet; Green Network; Information Centric Networking (ICN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomous Decentralized Systems (ISADS), 2015 IEEE Twelfth International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4799-8260-8
Type :
conf
DOI :
10.1109/ISADS.2015.39
Filename :
7098271
Link To Document :
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