DocumentCode :
3719195
Title :
Cache coherence in Machine-to-Machine Information Centric Networks
Author :
Maroua Meddeb;Amine Dhraief;Abdelfettah Belghith;Thierry Monteil;Khalil Drira
Author_Institution :
HANA Lab, Univeristy of Manouba, Tunisia
fYear :
2015
Firstpage :
430
Lastpage :
433
Abstract :
Information-Centric Networking (ICN) is a new paradigm proposing a shift in the main Internet architecture from a host-centric communication model to a content-centric model. ICN architectures target to meet user demands for accessing the information regardless of its location. A major building block of ICNs concerns caching strategies. Concomitantly, Machine-to-Machine (M2M) technologies are considered the main pattern for the Internet of Things (IoT). Unifying M2M and ICN into a single framework raises the challenge of cache coherence. In this paper, we propose a novel cache coherence mechanism to check the validity of cache contents. We also propose a caching strategy suitable to M2M environment. Extensive experimentations are conducted to evaluate the performance of our proposals. They show that the combination of our two proposed schemes results in a notable improvement in content validity at the expenses of a certain degradation in both server hit and hop reduction ratios.
Keywords :
"Coherence","Servers","Internet","Smoothing methods","Delays","Network topology","Sensors"
Publisher :
ieee
Conference_Titel :
Local Computer Networks (LCN), 2015 IEEE 40th Conference on
Type :
conf
DOI :
10.1109/LCN.2015.7366345
Filename :
7366345
Link To Document :
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