在當代數位化時代，高效且便捷的檔案傳輸對於全球資訊共享至關重要。傳統中心化雲端儲存平台如Google雲端硬碟、OneDrive與Dropbox，雖然提供便捷的檔案共享功能，但其性能受限於伺服器的地理位置與網路品質，尤其當伺服器遠離使用者或網路狀況不佳時，傳輸效率會降低。這些平台通常要求繁瑣的登錄過程，增加操作複雜性。
本研究提出並實現了一種基於InterPlanetary File System (IPFS) Cluster的去中心化檔案共享系統，旨在解決傳統中心化系統的不足。該系統允許使用者無需登錄即可上傳與下載檔案，並通過驗證碼進行檔案分享。系統設計包括前端上傳介面、後端分片與儲存邏輯，以及釘選與驗證機制。使用者在上傳檔案後立即獲得驗證碼，其他使用者可利用此驗證碼下載檔案，簡化了操作流程。
為了提高檔案傳輸效率，本研究採用了多執行緒技術進行檔案分片的並行處理與傳輸。前端使用 Web Worker 來進行檔案分片及雜湊值計算，最大化設備的處理能力，以提高分片效率。後端使用多執行緒來並行下載與合併分片，確保分片數據能夠高效地寫入 HTTP 響應流中。
本研究還對 IPFS Cluster、Amazon S3 以及 MySQL 集中式儲存的性能進行了對比實驗，重點評估了三者在檔案上傳與下載速度及傳輸穩定性等方面的表現。實驗結果表明，基於 IPFS Cluster 的去中心化儲存方案在一定條件下能夠提供更高效的傳輸效率。同時，本研究對 IPFS Cluster 和 Amazon S3 的成本效益進行了比較。結果顯示，Amazon S3 在小規模使用中顯示出較高的成本效益，而 IPFS Cluster 在大規模使用情境下具有顯著的經濟優勢。

In the contemporary digital age, efficient and convenient file transfer is crucial for global information sharing. Traditional centralized cloud storage platforms such as Google Drive, OneDrive, and Dropbox, although providing convenient file sharing features, often have their performance limited by the server's geographical location and network quality. This limitation is especially apparent when servers are far from users or when network conditions are poor, leading to reduced transfer efficiency. Additionally, these platforms typically require a cumbersome login process, adding complexity to operations.
This study proposes and implements a decentralized file-sharing system based on the InterPlanetary File System (IPFS) Cluster, aiming to address the shortcomings of traditional centralized systems. This system allows users to upload and download files without logging in, sharing files via verification codes. The system design includes a front-end upload interface, back-end file segmentation and storage logic, as well as pinning and verification mechanisms. Upon uploading a file, the user immediately receives a verification code, which others can use to download the file, greatly simplifying the process.
To improve file transfer efficiency, this study employs multithreading technology for parallel processing and transfer of file segments. The front end uses Web Workers to perform file segmentation and hash value calculation, maximizing the processing capability of the device to enhance segmentation efficiency. The back end uses multithreading to download and merge segments in parallel, ensuring that segmented data is efficiently written into the HTTP response stream.
This study also conducts comparative experiments on the performance of IPFS Cluster, Amazon S3, and MySQL centralized storage, focusing on their file upload and download speeds and transmission stability. The experimental results indicate that the decentralized storage solution based on IPFS Cluster can provide more efficient transfer rates under certain conditions. Additionally, this study compares the cost-effectiveness of IPFS Cluster and Amazon S3. The results show that Amazon S3 demonstrates higher cost-effectiveness in small-scale usage, while IPFS Cluster offers significant economic advantages in large-scale usage scenarios.

摘要...i
Abstract...ii
誌謝...iv
目錄...v
表目錄...vii
圖目錄...viii
第一章 緒論...1
1.1 研究背景與動機...1
1.2 研究目的...2
1.3 研究限制...3
1.4 研究架構與流程...3
第二章文獻探討...6
2.1 分散式儲存概述...6
2.2 星際檔案系統(IPFS)...6
2.2.1 IPFS簡介...6
2.2.2 IPFS 核心技術...7
2.3 IPFS Cluster...8
2.3.1 IPFS Cluster簡介...8
2.3.2 IPFS Cluster核心技術...8
2.4 Amazon S3...9
2.5 前後端開發工具概述...11
2.5.1 Vue.js概述...11
2.5.2 Spring Boot概述...11
2.5.3 MySQL概述...12
第三章 研究方法...13
3.1 系統規劃...13
3.1.1 軟體框架...13
3.1.2 儲存系統...14
3.1.3 功能模組規劃...15
3.2 實驗規劃...15
3.2.1 分片大小效能測試...15
3.2.2 集中式儲存與分散式儲存的性能測試規劃...16
3.2.3 分散式系統的性能測試規劃...17
3.2.4 成本效益分析...18
3.2.5 系統穩定性評估...21
3.3 測試工具...22
3.4 預期實驗結果...23
第四章 系統實作與分析...24
4.1 系統設計...24
4.1.1 系統環境與硬體配置...24
4.1.2 系統架構...28
4.2 功能模組設計與資料庫設計...30
4.2.1 檔案上傳模組...30
4.2.2 檔案下載模組...37
4.2.3 資料庫設計...40
4.3 實驗結果與分析...42
4.3.1 分片大小效能測試結果...42
4.3.2 集中式儲存與分散式儲存的性能測試結果...47
4.3.3 分散式系統的性能測試結果...52
4.3.4 成本效益分析結果...57
4.3.5 系統穩定性測試結果...61
第五章 結論與建議...66
5.1 結論...66
5.2 建議...67
5.3 未來改進方向...68
參考文獻...69
Extended Abstract...71

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