基於雲端運算具平行傳輸機制之醫學影像存取研究

由於醫療儀器技術的進步，帶動醫學影像解析度也越來越高。將使得醫學影像檔案在傳輸與儲存時，需要大量傳輸時間與硬碟儲存空間。基於網路最高頻寬的限制，根據文獻[17]作者所提的TCP/IP網路最高頻寬約92%，一般用戶無法達到此頻寬。所以，傳輸大量資料是醫界待解決重要問題之一。因此，本研究提出一個雲端醫學影像存取平台，讓醫護人員可於網頁上直接瀏覽醫學影像。透過平行傳輸機制，可解決高解析度之連續影像檔案的傳輸、儲存與醫療資源分享問題。我們驗證本系統的網路使用率可達92%。更進一步，我們也用理論模型與實驗證明，在TCP/IP區域網路環境下，單一傳輸通道使用平行傳輸機制(多個虛擬連線同時間各別傳送一個檔案)的方式較單一FTP傳輸(單條虛擬連線，同時間傳送一個檔案)方式的傳輸效率高出1.3倍。最後，我們提出一個基於雲端架構，具多通道傳輸之硬體實體通道加上平行傳輸方式，我們用理論與實作證明我們所提出的雲端架構其傳輸效能可以達到傳統FTP單線傳輸方式的n*c=6.5倍(n是實體通道數5，c為單一通道平行使用平行傳輸的增速1.3)。

關鍵字

醫學影像；平行傳輸；雲端；資料庫；網路使用率

並列摘要

The resolution of medical images has been improving thanks to the sophisticated medical devices. Higher resolution images demands more transmission time and more storage space. According to Konstantinos et. al. [17], the usage of TCP/IP network is restricted to 92% of its bandwidth. For ordinary users, it is an upper bound and hard to reach. This means mass data transmission is a critical problem yet to solve. In this research we propose a medical platform based on Cloud Computing which allows medical staff to view medical images through web page. In our system, the problem of transmission bandwidth limitation, huge storage space requirement, and file sharing of consecutive high resolution image files are alleviated by adopting parallel transmission mechanism. We have tested and proved that network usage in our system reached 92% of its bandwidth. Also, we have proved with theoretical models and experiments that under TCP/IP LAN environment, transmission using parallel mechanism in a single channel (multiple virtual connections in a channel) outperformed transmission using a single FTP channel (single virtual connection in a channel) by 1.3 times. Our system structure is based on Cloud Computing with the same number of physical channels as multi-channel needs. We have proved with theory and experiments that the transmission performance of our system is n*c=6.5 times better than the transmission performance of conventional FTP single line transmission, where n is the number of physical channels and constant c=1.3 is the transmission speed gain by using parallel mechanism in a single channel.

並列關鍵字

Medical Images ； Parallel Transmission ； Cloud Computing ； Database ； Network Usage

參考文獻

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基於雲端運算具平行傳輸機制之醫學影像存取研究

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