Link Bandwidth Recommendation for Indonesian E-Health Grid

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

doi:10.1007/978-3-030-36056-6_8

Link Bandwidth Recommendation for Indonesian E-Health Grid

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

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020
Editors	Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy
Publisher	Springer
Pages	77-87
Number of pages	11
ISBN (Print)	9783030360559
DOIs	https://doi.org/10.1007/978-3-030-36056-6_8
Publication status	Published - 1 Jan 2020
Event	4th International Conference on Soft Computing and Data Mining, SCDM 2020 - Melaka, Malaysia Duration: 22 Jan 2020 → 23 Jan 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	978 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	4th International Conference on Soft Computing and Data Mining, SCDM 2020
Country	Malaysia
City	Melaka
Period	22/01/20 → 23/01/20

Keywords

E-Health grid
Indonesia
Link bandwidth

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10.1007/978-3-030-36056-6_8

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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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title = "Link Bandwidth Recommendation for Indonesian E-Health Grid",

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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booktitle = "Recent Advances on Soft Computing and Data Mining - Proceedings of the 4th International Conference on Soft Computing and Data Mining, SCDM 2020",

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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 proceeding › Conference contribution › peer-review

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T1 - Link Bandwidth Recommendation for Indonesian E-Health Grid

AU - Haryanti, Sri Chusri

AU - Rachmawati, Ummi Azizah

AU - Suherlan, Elan

AU - Azahra, Nabylla

AU - Utari, Sarah Syahwenni

AU - Suhartanto, Heru

PY - 2020/1/1

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N2 - 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.

AB - 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. 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

Link Bandwidth Recommendation for Indonesian E-Health Grid

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