智慧醫療物聯網平台之多租戶應用

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姓名

楊樹萍(Shu-Ping Yang) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

智慧醫療物聯網平台之多租戶應用
(Multi-Tenant Application of Smart Healthcare IoT Platform)

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至系統瀏覽論文 (2026-7-31以後開放)

摘要(中)

多租戶架構已經廣泛應用於各類智慧應用中，包括智慧醫療、智慧城市、智能製造等領域。在這些應用中，資訊安全管理成為了重中之重。針對不同租戶的資料隔離、訪問控制和隱私保護措施不斷完善，以確保在多租戶環境下的資料安全和合規性。
本研究開發了一個智慧醫療平台，旨在利用多種虛擬實境裝置和感測器收集病人的生理特徵，並為醫療專業人員提供準確的生理資料，以幫助他們進行更有效的診斷和治療規劃。利用網際網路技術，實現遠端診斷、遠端手術和遠端監護，提升醫療服務的覆蓋範圍和便捷性。平台的電子處方系統，允許醫護人員從多個療程中選擇和組合，根據患者具體情況制定個性化的治療方案。每個療程都設計了一系列可設定的參數，如語言、難度、療程模式和使用的感測器，以更好地滿足患者的需求。這些裝置和感測器能夠提供包括頭動、眼動、運動範圍、心率、肌肉活動等重要指標的精確生理資料。
然而為了將本系統於醫療機構實行，必須考量有良好的資料安全管理，因此多租戶架構在此平台中扮演了關鍵角色，實現資料隔離、訪問控制和隱私保護，確保各租戶的資料的隔離性和安全性。達到可以輕松擴展以支持更多租戶，滿足不斷增長的需求。不同租戶可以有不同的配置和定制化功能，滿足其特定需求，使醫療機構的協作更加容易。

摘要(英)

The multi-tenant architecture has been widely applied in various smart applications, including smart healthcare, smart cities, intelligent manufacturing and other fields. In these applications, information security management has become a top priority. Measures for data isolation, access control, and privacy protection for different tenants are continuously being improved to ensure data security and compliance in a multi-tenant environment.
This study developed a smart healthcare platform aimed at collecting patients′ physiological characteristics using various virtual reality devices and sensors, providing accurate physiological data to medical professionals to aid in more effective diagnosis and treatment planning. Utilizing internet technology, the platform enables remote diagnosis, remote surgery, and remote monitoring, enhancing the coverage and convenience of medical services. The platform′s electronic prescription system allows healthcare providers to select and combine treatments from multiple options to create personalized treatment plans based on the specific conditions of patients. Each treatment plan is designed with a series of configurable parameters such as language, difficulty, treatment mode, and sensors used, to better meet patients′ needs. These devices and sensors can provide precise physiological data, including important indicators like head movement, eye movement, range of motion, heart rate, and muscle activity.
However, for this system to be implemented in medical institutions, robust data security management must be considered. The multi-tenant architecture plays a crucial role in this platform by achieving data isolation, access control, and privacy protection, ensuring the isolation and security of data for each tenant. This architecture allows for easy scalability to support more tenants, meeting the growing demand. Different tenants can have different configurations and customization features to meet their specific needs, making collaboration between medical institutions easier.

關鍵字(中)

★ 多租戶
★ 智慧醫療
★ 物聯網

關鍵字(英)

★ Multi-Tenant
★ Healthcare
★ IoT

論文目次

Table of Contents
摘要 ii
Abstract iii
誌謝 iv
Table of Contents v
List of Figures vi
List of Tables vii
Explanation of Symbols viii
I. Introduction 1
1-1 Motivation 1
1-2 Background 4
1-2-1 SaaS (Software as a Service) 4
1-2-2 Development of Multi-Tenant 5
1-2-3 Models of Multi-Tenant 6
1-2-4 Microservices 7
1-2-5 Cloud Service Providers 9
1-3 Purpose 10
II. Related Works 12
III. Method 14
3-1 Development Environment 14
3-2 Multi-Tenant Architecture 16
3-2-1 Network Isolation 18
3-2-2 Data Isolation 18
3-2-3 Access Isolation 19
3-3 Multi-Tenant Management 20
3-3-1 Healthcare Integration 20
3-3-2 Security Management 22
IV. Results 29
V. Discussion 32
5-1 Security 32
5-2 Scalability 32
VI. Conclusion and Future Works 33
Reference 35

參考文獻

7 Reference

[1] F. M. S. F. G. S. L. G. Abbadessa, "Digital therapeutics in neurology," Journal of Neurology (2022), 2022.
[2] A. N. N. H. A. O. K. N. T. T. E. H. Kazuomi Kario, "Efficacy of a digital therapeutics system in the management of essential hypertension: the HERB-DH1 pivotal trial," European Heart Journal, 2021.
[3] V. K. M. Y. A. S. K. P. C. A. C.-M. C. ADESH KUMARI, "CSEF: Cloud-Based Secure and Efficient Framework for Smart Medical System Using ECC," IEEE Access, 2020.
[4] Ö. K. Kerem AYTAÇ, "Multi-Tenant Management in Secured IoT Based Solutions," 2022 32nd Conference of Open Innovations Association (FRUCT), 2022.
[5] P. H. N. F. C. Hui Song, "Using Microservices to Customize Multi-Tenant SaaS: From Intrusive to Non-Intrusive," Joint Post-proceedings of the First and Second International Conference on Microservices, 2020.
[6] Y. Y. J. G. J. K. L. H. Jia Ru, "A Systematic Review of Scheduling Approaches on Multi-tenancy Cloud Platforms," Information and Software Technology, 2020.
[7] A. A. BENKHALLEF Silia, "Design and Realization of Cloud SaaS Multi-Tenant Application," IBNKHALDOUN UNIVERSITY – TIARET, 2022.
[8] H. S. F. C. R. M. S. B. E. L. Phu H. Nguyen, "Using Microservices for Non-intrusive Customization of Multi-tenant SaaS," Proceedings of the 27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE ’19), 2019.
[9] S. L. A. Z. Manuel Wickert, "Experience Report: First Steps towards a Microservice Architecture for Virtual Power Plants in the Energy Sector," Joint Post-proceedings of the First and Second International Conference on Microservices, 2020.
[10] P. H. N. F. C. J. G. T. S. Hui Song, "Customizing Multi-Tenant SaaS by Microservices: A Reference Architecture," IEEE, 2019.
[11] "Amazon Web Services," Amazon, [Online]. Available: https://aws.amazon.com/tw/what-is-aws/.
[12] "Azure," Microsoft, [Online]. Available: https://azure.microsoft.com/zh-tw/explore/.
[13] "Google Cloud," Google, [Online]. Available: https://cloud.google.com/?hl=zh-TW.
[14] "Alibaba Cloud," 阿里雲, [Online]. Available: https://www.alibabacloud.com/tc/about?_p_lc=1&spm=a2798.12277262.6791778070.49.3cb55599N1jNV6.
[15] Y. S. Z. L. J. M. Yu Wang, "Container-Based Performance Isolation for Multi-Tenant SaaS Applications in Micro-Service Architecture," Journal of Physics: Conference Series, 2020.
[16] A.-R. S. S. Z. Ghada Dessouky, "SoK: Secure FPGA Multi-Tenancy in the Cloud: Challenges and Opportunities," 2021 IEEE European Symposium on Security and Privacy (EuroS&P), 2021.
[17] S. G. H. P. H. N. H. S. F. C. Espen Tønnessen Nordli, "Migrating monoliths to cloud-native microservices for customizable SaaS," Information and Software Technology, 2023.
[18] N. Y. C. J. J. P. L. X. Y. Q. Z. L. K. L. J. L. J. L. E. S. J. Z. T. H. S. Z. Tian Pan, "Sailfish: Accelerating Cloud-Scale Multi-Tenant Multi-Service Gateways with Programmable Switches," Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 2021.
[19] A. R. ,. M. D. ,. Y. R. ,. P. A. P. Neha Kewate, "A Review on AWS - Cloud Computing Technology," International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022.
[20] P. M. ,. B. G. Tabish Mufti, "A Review on Amazon Web Service (AWS), Microsoft Azure & Google Cloud Platform (GCP) Services," Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India, 2021.
[21] S. C. Vivek Narasayya, "Cloud Data Services: Workloads, Architectures and Multi-Tenancy," Foundations and Trends® in Databases, 2021.
[22] S. C. Vivek Narasayya, "Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities," Proceedings of the 2022 International Conference on Management of Data, 2022.
[23] O. G. ´. L. O. H. C. L. S. M. V. R. C. S. G. C. V. A. Z. M. L. Mario Villamizar, "Infrastructure Cost Comparison of Running Web Applications in the Cloud using AWS Lambda and Monolithic and Microservice Architectures," 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 2016.
[24] R. T. A. B. A. M. S. H. A. Miho YAMAKURA, "A Multi-Tenant Resource Management System for Multi-FPGA Systems," IEICE TRANSACTIONS on Information and Systems, 2021.
[25] W. M. A. P. C. W. H. F. Z. T. K. T. B. R. K. I. Haoran Qiu, "Reinforcement Learning for Resource Management in Multi-tenant Serverless Platforms," Proceedings of the 2nd European Workshop on Machine Learning and Systems, 2022.
[26] A. A.-A. ,. A. N. L. B. AHMED E. ABDEL RAOUF, "A Predictive Multi-Tenant Database Migration and Replication in the Cloud Environment," IEEE Access, 2021.
[27] N. P. Arpita Shah, "Efficient and scalable multitenant placement approach for inmemory database over supple architecture," Computer Science and Information Technologies, 2020.
[28] X. F. B. L. T. Z. Y. G. Y. Z. F. L. Wei Cao, "LogStore: A Cloud-Native and Multi-Tenant Log Database," Proceedings of the 2021 International Conference on Management of Data, 2021.
[29] V. C. Saurabh Deochake, "Identity and Access Management Framework for Multi-tenant Resources in Hybrid Cloud Computing," Proceedings of the 17th International Conference on Availability, 2022.

指導教授

葉士青吳曉光(Shih-Ching Yeh Hsiao-Kuang Wu)

審核日期

2024-7-31

推文