Designing a Cost-Efficient Network for a Small Enterprise

Conference paper


Jafari, F., Karami, A. and Osemwengie, L. 2021. Designing a Cost-Efficient Network for a Small Enterprise. SAI Computing Conference 2021. Online 15 - 16 Jul 2021 Springer, Cham. https://doi.org/10.1007/978-3-030-80119-9_14
AuthorsJafari, F., Karami, A. and Osemwengie, L.
TypeConference paper
Abstract

Reducing the cost of running a computer internet network in business cannot be over emphases in this current time of rising inflation. This paper assesses the cost of running an existing small enterprise network, called BCT Services Ltd, and suggests ways of reducing them. This will be done by; the introduction of solar panel, change in more scalable and less costly hardware, using more wireless access point in some areas and a different topology that is less costly to run. These changes have been designed in a proposed network scenario with Cisco Packet Tracer software for comparison with the existing one in the enterprise. In this paper, the parameter of interest is to know if the changes in the proposed network scenario will bring about the same amount of throughput in data or more. Our analyses and evaluations show that the proposed network scenario was more cost-efficient, as there was an improvement of over 100% data throughput compared with the current network, a cost savings of over £5,000 for five years period and other benefits like; reduce environmental pollution benefit from the solar panel.

KeywordsCost efficiency; Communication network; Small enterprise
Year2021
ConferenceSAI Computing Conference 2021
PublisherSpringer, Cham
Publication dates
Online13 Jul 2021
Publication process dates
Deposited04 Jul 2023
Journal citationpp. 255-273
ISSN2367-3370
Book titleIntelligent Computing: Proceedings of the 2021 Computing Conference, Volume 1
Book editorKohei, A.
ISBN9783030801199
9783030801182
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-80119-9_14
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-030-80119-9
Permalink -

https://repository.uel.ac.uk/item/8w3qy

  • 38
    total views
  • 0
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches
Sontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M. 2024. Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches. 4th International Conference on Data Analytics & Management (ICDAM-2023). London, UK 23 - 24 Jun 2023 Springer.
Road Safety in Great Britain: An Exploratory Data Analysis
Choudhary, J. K., Rayala, N., Kiasari, A. E. and Jafari, F. 2023. Road Safety in Great Britain: An Exploratory Data Analysis. International Journal of Transport and Vehicle Engineering. 17 (7), pp. 273-287.
Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark
Chaudhury, M., Karami, A. and Ghazanfar, M. A. 2022. Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark. Electronics. 11 (16), p. 2567. https://doi.org/10.3390/electronics11162567
Stock market prediction using machine learning classifiers and social media, news
Khan, W., Ghazanfar, M., Azam, M. A., Karami, A., Alyoubi, K. H. and Alfakeeh, A. S. 2020. Stock market prediction using machine learning classifiers and social media, news. Journal of Ambient Intelligence and Humanized Computing. 13, pp. 3433-3456. https://doi.org/10.1007/s12652-020-01839-w
A novel centroids initialisation for K-means clustering in the presence of benign outliers
Karami, A., Ur Rehman, S. and Ghazanfar, M. 2020. A novel centroids initialisation for K-means clustering in the presence of benign outliers. International Journal of Data Analysis Techniques and Strategies. 12 (4), pp. 287-298. https://doi.org/10.1504/IJDATS.2020.111498
An Anomaly-based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities
Karami, A. 2018. An Anomaly-based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities. Expert Systems with Applications. 108, pp. 36-60. https://doi.org/10.1016/j.eswa.2018.04.038
Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network
Sharif, M., Naeem, U., Islam, S. and Karami, A. 2018. Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_34
The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain
Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96
A Framework for Uncertainty-Aware Visual Analytics in Big Data
Karami, A. 2015. A Framework for Uncertainty-Aware Visual Analytics in Big Data. CEUR Workshop Proceedings. 1510, pp. 146-155.
Least Upper Delay Bound for VBR Flows in Networks-on-Chip with Virtual Channels
Jafari, F., Lu, Zhonghai and Jantsch, Axel 2015. Least Upper Delay Bound for VBR Flows in Networks-on-Chip with Virtual Channels. Transactions on Design Automation of Electronic Systems. 20 (3).
Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options
Karami, A. and Johansson, Ronnie 2013. Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of options. Journal of Information Science and Engineering. 30 (2), pp. 519-534.
Choosing DBSCAN parameters automatically using differential evolution
Karami, A. and Johansson, Ronnie 2014. Choosing DBSCAN parameters automatically using differential evolution. International Journal of Computer Applications. 91 (7), pp. 1-11. https://doi.org/10.5120/15890-5059
A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks
Karami, A. and Guerrero-Zapata, Manel 2014. A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks. Neurocomputing. 149 (Part C), pp. 1253-1269. https://doi.org/10.1016/j.neucom.2014.08.070
A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking
Karami, A. and Guerrero-Zapata, Manel 2014. A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking. Neurocomputing. 151 (3), pp. 1262-1282. https://doi.org/10.1016/j.neucom.2014.11.003
An ANFIS-based cache replacement method for mitigating cache pollution attacks in Named Data Networking
Karami, A. and Guerrero-Zapata, Manel 2015. An ANFIS-based cache replacement method for mitigating cache pollution attacks in Named Data Networking. Computer Networks. 80 (April), pp. 51-65. https://doi.org/10.1016/j.comnet.2015.01.020
ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network
Karami, A. 2015. ACCPndn: Adaptive Congestion Control Protocol in Named Data Networking by learning capacities using optimized Time-Lagged Feedforward Neural Network. Journal of Network and Computer Applications. 56 (Oct.), pp. 1-18. https://doi.org/10.1016/j.jnca.2015.05.017
A Wormhole Attack Detection and Prevention Technique in Wireless Sensor Networks
Siddiqui, A., Karami, A. and Johnson, M. O. 2017. A Wormhole Attack Detection and Prevention Technique in Wireless Sensor Networks. International Journal of Computer Applications. 174 (Art. 4). https://doi.org/10.5120/ijca2017915376
Weighted Round Robin Configuration for Worst-Case Delay Optimization in Network-on-Chip
Jafari, F., Jantsch, Axel and Lu, Zhonghai 2016. Weighted Round Robin Configuration for Worst-Case Delay Optimization in Network-on-Chip. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 24 (12), pp. 3387-3400. https://doi.org/10.1109/TVLSI.2016.2556007