當設備數量龐大時，傳統以網際網路為基礎的設備監控系統即可能面臨計算與儲存能力不足的問題，降低系統的運作效能。隨著資訊與網路科技的快速發展，雲端運算已成為網際網路運用的新趨勢。企業若採用雲端運算技術來建置設備監控系統，將可隨需動態地調升或降低所需的計算與儲存資源，且僅須依用多少付多少的方式付費，免除自行建置與維護資訊基礎建設與硬體的昂貴成本，使得系統維運成本降至最低，進而有效增加企業的商業利益。然而，要能成功推廣雲端化系統，必需提供有效的系統與資料保護措施。目前已經有很多文獻，探討一般雲端環境中不同的安全問題，並提出解決方法。但是，並沒有文獻探討雲端化設備監控系統及其安全問題。因此，本論文將提出一個雲端化的設備監控系統，並探討其各項管理與安全需求，然後據以發展符合需求之系統安全防護架構與雲端服務管理機制，以確保本機台監控系統能於雲端順利且安全地運作。最後，本論文利用各項實驗測試數據，展示本論文所提之系統安全防護架構之效能。本論文之研究成果可以作為發展雲端化設備監控系統之有用參考。

Once the number of equipment becomes large, the traditional Internet-based equipment monitoring system (EMS) may encounter the problem of computing and storage capability shortage, thereby reducing the system performance. With the rapid development of information and network technology, cloud computing has become a new trend of Internet applications. If enterprises adopt cloud computing technologies to construct EMSs, they can dynamically increase or decrease the required computing and storage resources on demand and pay by use, without needing the expensive costs of creating and maintaining the information infrastructure and hardware themselves. This approach can make the system’s operational costs to the lowest and thus effectively increase the business benefits. However, to successfully promote the cloud systems, it is necessary to provide effective system and data protection measures. Currently, there has been a lot of literature to explore different security problems in general cloud environments and propose solutions. However, there is no literature to investigate the cloud-based EMS and its associated security problems. Thus, this thesis presents a cloud-based EMS and studies its management and security needs. Accordingly, this thesis develops a system security protection architecture and a cloud service management mechanism to ensure that the EMS can operate smoothly and safely in the cloud. Finally, several experimental test data are used to demonstrate the effectiveness and performance of the proposed system security protection architecture. The research results of this thesis can a useful reference for developing cloud-based EMSs.

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