@inproceedings{f57d0ff6787c42ee803916cf99aae4fe,
title = "Evaluation of applications latency in server centric passive optical network based data centre architectures",
abstract = "The number of applications running in the cloud has dramatically increased in the past decade as well as the number of users accessing them. Data centres resources, architectures and conditions define the performance of the applications running on them. One of the main measures of the network efficiency is the latency, which can have a huge effect on resources utilisation, power consumption and the overall performance. In this paper, the performance of a fog network is evaluated by measuring the latency while running a facial recognition software. The network consists of two processing cells, a core network and a PON cell. The results show how network latency is affected by running the facial recognition software in the end-to-end network setup introduced in this paper. ",
keywords = "Data centres, Latency, PON, Power",
author = "Eltraify, {Azza E.A.} and Musa, {Mohamed O.I.} and Ahmed Al-Quzweeni and Elmirghani, {Jaafar M.H.}",
note = "Funding Information: The authors would like to acknowledge funding from the Engineering and Physical Sciences Research Council (EPSRC), INTERNET (EP/H040536/1) and STAR (EP/K016873/1) and from the EPSRC TOWS (EP/S016570/1) project. All data are provided in full in the results section of this paper. Publisher Copyright: {\textcopyright} 2020 IEEE.; 22nd International Conference on Transparent Optical Networks, ICTON 2020 ; Conference date: 19-07-2020 Through 23-07-2020",
year = "2020",
month = jul,
doi = "10.1109/ICTON51198.2020.9203451",
language = "English",
isbn = "9781728184241",
series = "International Conference on Transparent Optical Networks",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "1--4",
editor = "Francesco Prudenzano and Crina Cojocaru and Patryk Urban and Marian Marciniak",
booktitle = "2020 22nd International Conference on Transparent Optical Networks, ICTON 2020",
address = "United States",
}