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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 11, 2021.
Abstract: In recent years, Named Data Networking (NDN) has attracted researchers’ attention as a new internet architecture. NDN changes the internet communication paradigm from a host-to-host IP model to a name-based model. Thus, NDN permits the retrieval of requested content by name, from different sources and via multiple paths, and the use of caching in intermediate routers. These features transform the transport control model from sender to receiver and make traditional end-to-end congestion control mechanisms incompatible with NDN architecture. To deal with this problem, a reliable congestion control mechanism becomes necessary for a successful deployment of NDN. This paper presents a new hybrid congestion control mechanism for NDN, EC-Elastic (Explicit Congestion Elastic), which adopts the basic concept of Elastic-TCP to control the sending rates of the interest packets at the consumer nodes. In the intermediate nodes, a queue has been associated with the Controlled Delay-Active Queue Management CoDel-AQM to measure the packet sojourn time and notify the consumer to decrease its interest packet sending rate when it receives an explicit congestion signal. EC-Elastic was implemented in ndnSIM and evaluated with Agile-SD, CUBIC, and STCP in different scenarios. Simulation results show that EC-Elastic provides a significant improvement in bandwidth utilization while maintaining lower delay and packet loss rates.
Asmaa EL-BAKKOUCHI, Mohammed EL GHAZI, Anas BOUAYAD, Mohammed FATTAH and Moulhime EL BEKKALI, “EC-Elastic an Explicit Congestion Control Mechanism for Named Data Networking” International Journal of Advanced Computer Science and Applications(IJACSA), 12(11), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121168
@article{EL-BAKKOUCHI2021,
title = {EC-Elastic an Explicit Congestion Control Mechanism for Named Data Networking},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121168},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121168},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {11},
author = {Asmaa EL-BAKKOUCHI and Mohammed EL GHAZI and Anas BOUAYAD and Mohammed FATTAH and Moulhime EL BEKKALI}
}
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.