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