Link Bandwidth Recommendation for Indonesian E-Health Grid

Sri Chusri Haryanti, Ummi Azizah Rachmawati, Elan Suherlan, Nabylla Azahra, Sarah Syahwenni Utari, Heru Suhartanto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Today, almost all the agencies and institutions, including government agencies and hospitals, utilize information technology to improve efficiency and effectiveness. The application of information technology in the health sector is required to enhance the performance of health services to the community. In this research, we investigate the e-Health Grid based on the provincial hospital in Indonesia using a Mininet emulator. Actual distances between hospitals have been applied. The packet rate is determined based on the assumption that it is proportional to the population served by the hospital. The e-Health Grid consolidates 34 hospitals, four controllers, and four switches. The result of the simulation yields a recommendation of link bandwidth that provides minimum round trip time from each node in the grid.

Original languageEnglish
Title of host publicationRecent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020
EditorsRozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy
PublisherSpringer
Pages77-87
Number of pages11
ISBN (Print)9783030360559
DOIs
Publication statusPublished - 1 Jan 2020
Event4th International Conference on Soft Computing and Data Mining, SCDM 2020 - Melaka, Malaysia
Duration: 22 Jan 202023 Jan 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume978 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th International Conference on Soft Computing and Data Mining, SCDM 2020
CountryMalaysia
CityMelaka
Period22/01/2023/01/20

Fingerprint

Telecommunication links
Health
Bandwidth
Information technology
Switches
Controllers

Keywords

  • E-Health grid
  • Indonesia
  • Link bandwidth

Cite this

Haryanti, S. C., Rachmawati, U. A., Suherlan, E., Azahra, N., Utari, S. S., & Suhartanto, H. (2020). Link Bandwidth Recommendation for Indonesian E-Health Grid. In R. Ghazali, N. M. Nawi, M. M. Deris, & J. H. Abawajy (Eds.), Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020 (pp. 77-87). (Advances in Intelligent Systems and Computing; Vol. 978 AISC). Springer. https://doi.org/10.1007/978-3-030-36056-6_8
Haryanti, Sri Chusri ; Rachmawati, Ummi Azizah ; Suherlan, Elan ; Azahra, Nabylla ; Utari, Sarah Syahwenni ; Suhartanto, Heru. / Link Bandwidth Recommendation for Indonesian E-Health Grid. Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. editor / Rozaida Ghazali ; Nazri Mohd Nawi ; Mustafa Mat Deris ; Jemal H. Abawajy. Springer, 2020. pp. 77-87 (Advances in Intelligent Systems and Computing).
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abstract = "Today, almost all the agencies and institutions, including government agencies and hospitals, utilize information technology to improve efficiency and effectiveness. The application of information technology in the health sector is required to enhance the performance of health services to the community. In this research, we investigate the e-Health Grid based on the provincial hospital in Indonesia using a Mininet emulator. Actual distances between hospitals have been applied. The packet rate is determined based on the assumption that it is proportional to the population served by the hospital. The e-Health Grid consolidates 34 hospitals, four controllers, and four switches. The result of the simulation yields a recommendation of link bandwidth that provides minimum round trip time from each node in the grid.",
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Haryanti, SC, Rachmawati, UA, Suherlan, E, Azahra, N, Utari, SS & Suhartanto, H 2020, Link Bandwidth Recommendation for Indonesian E-Health Grid. in R Ghazali, NM Nawi, MM Deris & JH Abawajy (eds), Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. Advances in Intelligent Systems and Computing, vol. 978 AISC, Springer, pp. 77-87, 4th International Conference on Soft Computing and Data Mining, SCDM 2020, Melaka, Malaysia, 22/01/20. https://doi.org/10.1007/978-3-030-36056-6_8

Link Bandwidth Recommendation for Indonesian E-Health Grid. / Haryanti, Sri Chusri; Rachmawati, Ummi Azizah; Suherlan, Elan; Azahra, Nabylla; Utari, Sarah Syahwenni; Suhartanto, Heru.

Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. ed. / Rozaida Ghazali; Nazri Mohd Nawi; Mustafa Mat Deris; Jemal H. Abawajy. Springer, 2020. p. 77-87 (Advances in Intelligent Systems and Computing; Vol. 978 AISC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Haryanti SC, Rachmawati UA, Suherlan E, Azahra N, Utari SS, Suhartanto H. Link Bandwidth Recommendation for Indonesian E-Health Grid. In Ghazali R, Nawi NM, Deris MM, Abawajy JH, editors, Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020. Springer. 2020. p. 77-87. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-36056-6_8