Evaluating Healthcare System Based SD-WAN Backbone

Khazaal, Hasan Fahad, Al-Abassi, Huda Kadhem, Al-Sadi, Ameer Mosa and Al-Sherbaz, Ali ORCID: 0000-0002-0995-1262 (2020) Evaluating Healthcare System Based SD-WAN Backbone. International Journal of Advanced Science and Technology, 29 (1). pp. 671-680.

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9371 Khazaal, H.F., Al-Abassi, H.K., Al-Sadi, A.M., Al-Sherbaz, A. (2020) Evaluating-healthcare-system-based-sd-wan-backbone.pdf - Accepted Version
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Abstract

The development of information technology in the last few years led healthcare services to becomes more dependent on it, but the complexity of the current network is more susceptible to failure and causes interruption of the health services. SDN brought larger flexibility for network providers and enabled an improvement of the user’s experience for diverse data network services. Correspondingly, SDN delivered the flexibility for health care providers and improved the health state of their users. The aim of this paper is building a reliable SDN, optimizing controller application, building custom topology, test methodology, results from analysis ,to choosing the most suitable windows size and buffer size for the transfer medical data of SDN and give advice to researcher and Companies when build real SDN operating hospital. The major objective was to evaluate the Healthcare system over SD-WAN. This was applied by measuring the communication and the bandwidth between nodes; in addition to this we measured the latency, RTT and jitter for TCP and UDP protocols with Background traffic which variety from 20% to 70%using iperf, jperf and capturing in wireshark. The results show a noticeable diversity in different protocols. The carried-out investigation reveal that the performance of TCP is more reliable and suited for the transfer of medical data with the conclusion that background traffic and windows size in TCP have an inverse relationship. UDP Functions the best at a buffer size of 10, 30 KBin order to transmit medical data on real time with low packet loss.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: Healthcare; SDN; SD-WAN; TCP; UDP
Subjects: H Social Sciences > HF Commerce > HF5001 Business
Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas: Applied Business & Technology
Depositing User: Kate Greenaway
Date Deposited: 11 Mar 2021 13:55
Last Modified: 31 Aug 2023 08:01
URI: https://eprints.glos.ac.uk/id/eprint/9371

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