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坐 看 雲 起 時   張明正 董事長 2009.04.28
坐 看 雲 起 時
1 0 0  年前 …… Internal - Confidential 發電機
Internal - Confidential ,[object Object],[object Object],[object Object],[object Object],8 0  年前 ……
通用 OS Internal - Confidential Network Services Storage Services Print Services I/O Services Processing Services Application User Operating System
Cloud Computing  的定義  –  the service of Internet   Internal - Confidential Cloud Based Services ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cloud Computing  的形式 Internal - Confidential
Cloud Computing  的架構 Internal - Confidential Operating System Computer Hardware Storage Application C Application B Application A Application D Middleware
Cloud Computing –  發展趨勢   2009: cloud computing  元年 Internal - Confidential 2010 2013 2016 2019
Internal - Confidential Cloud Computing  迷思 技 術 成 本 策 略 執 行 安全嗎 ? 省錢嗎 ? 選哪幾個 AP/Service  開始 ? 組織改變, 如何旗開得勝 ?
外包   Cloud Computing  划的來嗎 ? $ 中小企業 大公司 創業 大小 IT  總 費 用
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Cloud Computing,雲端運算-趨勢科技張明正 坐看雲起時

  • 1. 坐 看 雲 起 時 張明正 董事長 2009.04.28
  • 2. 坐 看 雲 起 時
  • 3. 1 0 0 年前 …… Internal - Confidential 發電機
  • 4.
  • 5. 通用 OS Internal - Confidential Network Services Storage Services Print Services I/O Services Processing Services Application User Operating System
  • 6.
  • 7. Cloud Computing 的形式 Internal - Confidential
  • 8. Cloud Computing 的架構 Internal - Confidential Operating System Computer Hardware Storage Application C Application B Application A Application D Middleware
  • 9. Cloud Computing – 發展趨勢 2009: cloud computing 元年 Internal - Confidential 2010 2013 2016 2019
  • 10. Internal - Confidential Cloud Computing 迷思 技 術 成 本 策 略 執 行 安全嗎 ? 省錢嗎 ? 選哪幾個 AP/Service 開始 ? 組織改變, 如何旗開得勝 ?
  • 11. 外包 Cloud Computing 划的來嗎 ? $ 中小企業 大公司 創業 大小 IT 總 費 用

Hinweis der Redaktion

  1. <number>
  2. 1900s, owned electric power facilities<number>
  3. 1930s, entered a period of ‘using’ electricity <number>
  4. 2000s – owned own computer resources5
  5. 2010 – entering a period of “using” computer resources<number>
  6. <number>
  7. Clients would be able to access their applications and data from anywhere at any time. They could access the cloud computing system using any computer linked to the Internet. Data wouldn't be confined to a hard drive on one user's computer or even a corporation's internal network.* It could bring hardware costs down. Cloud computing systems would reduce the need for advanced hardware on the client side. You wouldn't need to buy the fastest computer with the most memory, because the cloud system would take care of those needs for you. Instead, you could buy an inexpensive computer terminal. The terminal could include a monitor, input devices like a keyboard and mouse and just enough processing power to run the middleware necessary to connect to the cloud system. You wouldn't need a large hard drive because you'd store all your information on a remote computer.* Corporations that rely on computers have to make sure they have the right software in place to achieve goals. Cloud computing systems give these organizations company-wide access to computer applications. The companies don't have to buy a set of software or software licenses for every employee. Instead, the company could pay a metered fee to a cloud computing company.* Servers and digital storage devices take up space. Some companies rent physical space to store servers and databases because they don't have it available on site. Cloud computing gives these companies the option of storing data on someone else's hardware, removing the need for physical space on the front end.* Corporations might save money on IT support. Streamlined hardware would, in theory, have fewer problems than a network of heterogeneous machines and operating systems.* If the cloud computing system's back end is a grid computing system, then the client could take advantage of the entire network's processing power. Often, scientists and researchers work with calculations so complex that it would take years for individual computers to complete them. On a grid computing system, the client could send the calculation to the cloud for processing. The cloud system would tap into the processing power of all available computers on the back end, significantly speeding up the calculation.10
  8. 10
  9. Hi, welcome to the Smart Protection Network presentation.