資料載入中.....
|
請使用永久網址來引用或連結此文件:
https://nccur.lib.nccu.edu.tw/handle/140.119/112156
|
| 題名: | 自建儲存環境與混合式方案下之雲端儲存成本分析
Cost Analysis of Cloud Storage under In-House and Hybrid Options |
| 作者: | 陳祐嘉 |
| 貢獻者: | 莊皓鈞
周彥君
陳祐嘉 |
| 關鍵詞: | 雲端運算
雲端儲存
混合
自建
模擬分析
Cloud computing
Cloud storage
Hybrid
In-house
Simulation analysis |
| 日期: | 2017 |
| 上傳時間: | 2017-08-28 11:26:10 (UTC+8) |
| 摘要: | 雲端運算的應用在現今已經被許多企業所採納，而其中的雲端儲存服務也是近期企業考量的重點之一，現今雲端儲存相關文獻所探討的方案大都圍繞在全部自建儲存環境，或全部採用租賃第三方雲端儲存服務這兩種方案去做成本的比較與分析，但考量到實際營運上有些資料仍需要留在企業內部管理，企業較不可能採用將資料完全搬上雲端的方式，因此本研究著重在分析全部自建或混合這兩種方案，考慮許多儲存成本相關的隨機因子後，建立一隨機成本模型，並將利用R語言撰寫程式進行模擬分析，研究結果期望能提供企業做雲端儲存相關決策時參考。
Cloud computing is adopted by many enterprises nowadays, and cloud storage is also one of the most important topics pertaining to cloud services. Almost all prior studies on enterprise migration to cloud storage focus on full in-house (make) versus full outsourcing (buy) options. However, the full outsourcing is not realistic, as firms typically have some data that are not feasible for cloud storage and need to stay in-house. In this paper, we incorporate relevant cost factors of in-house and cloud storage into a hybrid stochastic cost model of data storage. The hybrid model subsumes both full in-house and full outsourcing options. We will perform a comprehensive simulation analysis using R, in order to identify critical cost factors and understand their effects on cost performance of different storage options. Our modeling effort aims to facilitate managerial decisions regarding cloud storage. |
| 參考文獻: | 中文部分
微軟客戶案例分享，金石堂網路書店善用雲端服務，支援電子商務高成長，上網日期2015年2月12日，檢自：https://www.microsoft.com/taiwan/casestudies/case/case_150212_kingstone.aspx
微軟客戶案例分享，Mazda 運用混合式雲端存放裝置實現更完備的資料保護並降低 95% 的成本，上網日期2014年10月15日，檢自：https://www.microsoft.com/taiwan/casestudies/case/case_141015_mazda.aspx
魏伊伶，(2016)。雲端與巨量應用趨勢下，全球儲存產業發展趨勢。ICT Journal，頁 5-10。
西文部分
Benedikt Martens, & Frank Teuteberg. (2012). Decision-making in cloud computing environments: A costand risk based approach. Inf Syst Front, 頁 871-893.
Byung Chul Tak, Bhuvan Urgaonkar, & Anand Sivasubramaniam. (2011). To Move or Not to Move: The Economics of Cloud Computing. 頁 1-5.
Edward Walker, Walter Brisken, & Jonathan Romney. (2010). TO LEASE OR NOT TO LEASE FROM STORAGE CLOUDS. COMPUTER, 頁 44-50.
Gabriella Laatikainen, Oleksiy Mazhelis, & Pasi Tyrväinen. (2014). Role of acquisition intervals in private and public cloud storage costs. Decision Support Systems, 頁 320-330.
Loretta Mastroeni, & Maurizio Naldi. (2011). Pricing of insurance policies against cloud storage price rises. SIGMETRICS Performance Evaluation Review40(2), 頁 42-45.
Maurizio Naldi, & Loretta Mastroeni. (2013). Cloud Storage Pricing: A Comparison of Current Practices. ICPE, 頁 27-34.
Maurizio Naldi, & Loretta Mastroeni. (2014). Economic decision criteria for the migrationto cloud storage. European Journal of Information Systems , 頁 1-13.
Sean Marston, Zhi Li, Subhajyoti Bandyopadhyay, Juheng Zhang, & Anand Ghalsasi. (2011). Cloud computing—The business perspective. Decision Support Systems, 頁 176-189. |
| 描述: | 碩士
國立政治大學
資訊管理學系
104356022 |
| 資料來源: | http://thesis.lib.nccu.edu.tw/record/#G0104356022 |
| 資料類型: | thesis |
| 顯示於類別: | [資訊管理學系] 學位論文
|
文件中的檔案:
| 檔案 |
大小 | 格式 | 瀏覽次數 |
|---|
| 602201.pdf | 842Kb | Adobe PDF2 | 206 | 檢視/開啟 |
|
在政大典藏中所有的資料項目都受到原著作權保護.
|
