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DOI: 10.14569/IJACSA.2016.071115
PDF

Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure

Author 1: Nour El Houda Ben Youssef
Author 2: Yosra Barouni
Author 3: Sofiane Khalfallah
Author 4: Jaleleddine Ben Hadj Slama
Author 5: Khaled Ben Driss

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 11, 2016.

  • Abstract and Keywords
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Abstract: In-network caching is a key feature of content-centric networking. It is however a relatively costly mechanism with hardware requirements besides placement/replication strategies elaboration. As content-centric networking is proposed in the literature to manage smart grid (SG) communications, we aim, in this research work, to investigate the cost effectiveness of in-network caching in this context. We consider, in particular, the Advanced Metering Infrastructure (AMI) service that comes into prominence since its outputs are imperative inputs of most smart grid applications. In this research work, AMI communication topology and data traffic are characterized. Corresponding simulation environment is then built. Thereafter, various placement and replacement strategies are compared in a simulation study to be further able to propose a suitable cache placement and replacement combination for AMI in Smart Grid.

Keywords: caching; placement; replacement; content-centric networking; Named Data Networking; Advanced Metering Infrastructure; Smart Grid

Nour El Houda Ben Youssef, Yosra Barouni, Sofiane Khalfallah, Jaleleddine Ben Hadj Slama and Khaled Ben Driss, “Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure” International Journal of Advanced Computer Science and Applications(IJACSA), 7(11), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071115

@article{Youssef2016,
title = {Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071115},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071115},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {11},
author = {Nour El Houda Ben Youssef and Yosra Barouni and Sofiane Khalfallah and Jaleleddine Ben Hadj Slama and Khaled Ben Driss}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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