企業跨廠區資訊服務之高可用性研究─以 C 公司為例

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：69

、訪客IP：18.97.14.91

姓名

簡名鴻(Ming-Hung Chien) 查詢紙本館藏

畢業系所

資訊管理學系在職專班

論文名稱

企業跨廠區資訊服務之高可用性研究─以 C 公司為例
(High Availability Architecture for Cross-Site Enterprise Information Services: A Case Study of Company C)

相關論文

★ 應用數位版權管理機制於數位影音光碟內容保護之研究	★ 以應用程式虛擬化技術達成企業軟體版權管理之研究
★ 以IAX2為基礎之網頁電話架構設計	★ 應用機器學習技術協助警察偵辦詐騙案件之研究
★ 擴充防止詐欺及保護隱私功能之帳戶式票務系統研究-以大眾運輸為例	★ 網際網路半結構化資料之蒐集與整合研究
★ 電子商務環境下網路購物幫手之研究	★ 網路安全縱深防護機制之研究
★ 國家寬頻實驗網路上資源預先保留與資源衝突之研究	★ 以樹狀關聯式架構偵測電子郵件病毒之研究
★ 考量地區差異性之隨選視訊系統影片配置研究	★ 不信任區域網路中數位證據保留之研究
★ 入侵偵測系統事件說明暨自動增加偵測規則之整合性輔助系統研發	★ 利用程序追蹤方法關聯分散式入侵偵測系統之入侵警示研究
★ 一種網頁資訊擷取程式之自動化產生技術研發	★ 應用XML/XACML於工作流程管理系統之授權管制研究

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

至系統瀏覽論文 (2030-7-1以後開放)

摘要(中)

隨著數位科技快速發展，資訊服務的持續可用性已成為企業營運成功的關鍵因素之一。高可用性（High Availability, HA）架構可確保資訊系統在面臨硬體故障、軟體錯誤或災難事件時，仍能穩定運作，進而降低業務中斷風險與系統停擺所帶來的經濟損失。隨企業全球化布局日益擴大，對跨地域資訊服務不中斷的需求愈加迫切，如何縮短系統異常後的恢復時間，亦成為資訊化策略的重要挑戰。本研究目的在提升企業資訊系統之可用性與營運持續性，設計並建構一套支援跨廠區部署之超融合基礎架構（Hyper-Converged Infrastructure, HCI），整合 VMware vSphere 虛擬化平台與 StorMagic SvSAN 軟體定義儲存（Software-Defined Storage, SDS）技術。透過導入第三方仲裁節點與跨廠區資料同步機制，有效預防雙節點架構中常見之裂腦（Split-Brain）問題，並確保系統資料之一致性與即時性。研究中於實際企業場域建置此高可用性架構，並透過模擬主機故障、網路中斷及裂腦發生等情境，驗證系統於異常發生時能在 99 至 123 秒內自動完成容錯切換與服務恢復。實驗結果顯示，所建構之架構具備完善的故障偵測、自動接管與儲存一致性控制機制，能有效降低營運中斷風險，並提升企業資訊系統之韌性與穩定性。論文除詳述說明其架構設計理念與實作流程，亦透過多項異常情境測試，針對其適用條件進行實證分析，驗證其於實務環境中之可行性與應用效益。

摘要(英)

With the rapid advancement of digital technology, the continuous availability of information services has become a critical factor for enterprise success. High Availability (HA) architectures ensure systems remain operational during hardware failures, software errors, or disasters, reducing risks of downtime and business loss. As global operations expand, enterprises face increasing demand for uninterrupted cross-site services and rapid recovery from failures. This study aims to enhance system availability and continuity by designing a cross-site Hyper-Converged Infrastructure (HCI) integrating VMware vSphere and StorMagic SvSAN Software-Defined Storage (SDS). A third-party witness node and real-time data synchronization are introduced to prevent split-brain issues and ensure data consistency. The architecture was deployed in a real enterprise environment and validated through simulated host failures, network disconnections, and split-brain scenarios. Results showed that automated failover and service recovery completed within 99 to 123 seconds. The proposed solution provides robust fault detection, automated takeover, and consistent storage control, significantly improving system resilience and stability. This research confirms the architecture’s practical feasibility and its value in supporting continuous enterprise operations.

關鍵字(中)

★ 高可用性
★ 超融合基礎架構
★ 虛擬化
★ 軟體定義儲存
★ 裂腦

關鍵字(英)

★ High Availability
★ Hyper-Converged Infrastructure
★ Virtualization
★ Software-Defined Storage
★ Split-Brain

論文目次

摘要 i
Abstract ii
誌謝 iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章緒論 1
1-1 研究背景 1
1-2 研究動機與目的 2
1-3 研究貢獻 3
1-4 論文架構 4
第二章文獻探討 5
2-1 背景知識 5
2-1-1 VMware vSphere 5
2-1-2 超融合基礎架構 8
2-1-3 裂腦 11
2-2 相關研究 15
2-2-1 高可用性架構概念 15
2-2-2 容錯架構設計理念 16
2-2-3 虛擬化叢集與資源彈性 18
2-2-4 軟體定義儲存 19
2-2-5 多站點高可用性架構與應用挑戰 20
第三章系統架構設計 22
3-1 舊架構：單一廠區超融合基礎架構 23
3-2 新架構：跨廠高可用性架構 27
3-2-1 內部連線資訊服務高可用性設計 28
3-2-2 外部連線資訊服務高可用性設計 33
3-3 新架構改善：跨廠資料儲存架構裂腦問題 37
第四章實驗設計與結果分析 42
4-1 實作環境 42
4-1-1 網路架構說明 42
4-1-2 系統架構建置 43
4-1-3 虛擬化平台建置流程與儲存整合機制 45
4-2 模擬情境一：外部網路連線高可用性測試 47
4-3 模擬情境二：單一主機故障容錯機制驗證 49
4-4 模擬情境三：主機網路異常與裂腦現象模擬 52
第五章結論與建議 63
5-1 研究結論 63
5-2 研究限制 64
5-3 未來研究方向 65
參考文獻 66

參考文獻

[1] R. Govindan, I. Minei, M. Kallahalla, B. Koley, and A. Vahdat, "Evolve or die: High-availability design principles drawn from googles network infrastructure," in Proceedings of the 2016 ACM SIGCOMM Conference, 2016, pp. 58–72, doi: http://dx.doi.org/10.1145/2934872.2934891.
[2] M. Ali, S. U. Khan, and A. V. Vasilakos, "Security in cloud computing: Opportunities and challenges," Information sciences, Vol. 305, pp. 357–383, 2015, doi: http://dx.doi.org/10.1016/j.ins.2015.01.025.
[3] Broadcom. "vSphere High Availbility." https://www.vmware.com/products/cloud-infrastructure/vsphere/high-availability (accessed 5-15, 2025).
[4] Broadcom. "Fault Tolerance Definition." https://www.vmware.com/topics/fault-tolerance (accessed 4-25, 2025).
[5] Broadcom. "vSphere vMotion." https://www.vmware.com/products/cloud-infrastructure/vsphere/vmotion (accessed 4-10, 2025).
[6] Broadcom. "Distributed Resource Scheduler." https://www.vmware.com/products/cloud-infrastructure/vsphere/drs-dpm (accessed 4-1, 2025).
[7] A. A. M. Syed, "Hyperconverged Infrastructure (HCI) for Enterprise Data Centers: Performance and Scalability Analysis," International Journal of AI, BigData, Computational and Management Studies, Vol. 4, No. 4, pp. 29–38, 2023, doi: https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I4P104.
[8] M. Carlson et al., "Software defined storage," Storage Networking Industry Assoc. working draft, pp. 20–24, 2014.
[9] T. D. Chandra and S. Toueg, "Unreliable failure detectors for reliable distributed systems," Journal of the ACM (JACM), Vol. 43, No. 2, pp. 225–267, 1996, doi: https://doi.org/10.1145/226643.226647.
[10] B. Calder et al., "Windows azure storage: a highly available cloud storage service with strong consistency," in Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles, 2011, pp. 143–157, doi: https://doi.org/10.1145/2043556.2043571.
[11] 李承恩, "利用備援實體連線改善虛擬機器容錯之錯誤與 Split-Brain 偵測," 碩士, 資訊工程學系, 國立中央大學, 桃園縣, 2022. [Online]. Available: https://hdl.handle.net/11296/d5h4qb
[12] R. Buyya, R. N. Calheiros, J. Son, A. V. Dastjerdi, and Y. Yoon, "Software-defined cloud computing: Architectural elements and open challenges," in 2014 International conference on advances in computing, communications and informatics (ICACCI), 2014: IEEE, pp. 1–12, doi: https://doi.org/10.1109/ICACCI.2014.6968661.
[13] S. Weil, S. A. Brandt, E. L. Miller, D. D. Long, and C. Maltzahn, "Ceph: A scalable, high-performance distributed file system," in Proceedings of the 7th Conference on Operating Systems Design and Implementation (OSDI′06), 2006, pp. 307–320.
[14] A. Avizienis, J.-C. Laprie, B. Randell, and C. Landwehr, "Basic concepts and taxonomy of dependable and secure computing," IEEE transactions on dependable and secure computing, Vol. 1, No. 1, pp. 11–33, 2004, doi: https://doi.org/10.1109/TDSC.2004.2.
[15] J. Jung, E. Sit, H. Balakrishnan, and R. Morris, "DNS performance and the effectiveness of caching," in Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement, 2001, pp. 153–167, doi: https://doi.org/10.1145/505202.505223.
[16] A. Hubert and R. Van Mook, "Measures for making DNS more resilient against forged answers," 2070-1721, 2009.
[17] G. C. Moura, J. Heidemann, R. d. O. Schmidt, and W. Hardaker, "Cache me if you can: Effects of DNS time-to-live," in Proceedings of the Internet Measurement Conference, 2019, pp. 101–115, doi: https://doi.org/10.1145/3355369.3355568.
[18] V. Ramasubramanian and E. G. Sirer, "The design and implementation of a next generation name service for the internet," ACM SIGCOMM Computer Communication Review, Vol. 34, No. 4, pp. 331–342, 2004, doi: https://doi.org/10.1145/1030194.1015504.
[19] M. Nelson, B.-H. Lim, and G. Hutchins, "Fast Transparent Migration for Virtual Machines," in USENIX Annual technical conference, general track, 2005, pp. 391–394.
[20] S. Singh and I. Chana, "Q-aware: Quality of service based cloud resource provisioning," Computers & Electrical Engineering, Vol. 47, pp. 138–160, 2015, doi: https://doi.org/10.1016/j.compeleceng.2015.02.003.
[21] A. Beloglazov, R. Buyya, Y. C. Lee, and A. Zomaya, "A taxonomy and survey of energy-efficient data centers and cloud computing systems," Advances in computers, Vol. 82, pp. 47–111, 2011, doi: https://doi.org/10.1016/B978-0-12-385512-1.00003-7.
[22] L. Lamport, R. Shostak, and M. Pease, "The Byzantine generals problem," in Concurrency: the works of leslie lamport, 2019, pp. 203–226. doi:https://doi.org/10.1145/3335772.3335936

指導教授

陳奕明(Yi-Ming Chen)

審核日期

2025-7-30

推文