Title page for etd-0622115-170321


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URN etd-0622115-170321
Author Chun-wei Chu
Author's Email Address No Public.
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Department Computer Science and Engineering
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Design a Powerful Cloud Storage API to Fast Store and Synchronize Data
Date of Defense 2015-07-17
Page Count 89
Keyword
  • Cloud development interface
  • Cloud storage
  • Cloud development platform
  • Network transmission technology
  • Abstract With the evolution of Internet technology, people use Internet more frequently than before. There are many network applications such as cloud computing, big data and IoT(Interent of Things). From these network applications, we can see that Internet is very popular and important in recent years. However, there are still many defects on network applications such as privacy. Some people usually store their important data in cloud storage, but this way may not be safe enough. Another problem is the realtime-needed computing service. Today, many cloud-related services usually work on the back end, but service may be for family. Sometimes, network applications require more flexible design that allows they compute not only on the single server. Then, cross-platform is important for IoT.
    This paper has two main parts. Fist, we use web as the cross-platform and realtime data transmission service platform. This way solve the problem about cross-platform, allows developer to design the self-defined system independently, and makes the system more flexible. Second, we design a back-end server with scalability. This server provides a simple design for family, home office or private cloud. User can choose the storage when their data is private requirement. The system is scalability, so user also can combine this system and common cloud storage to make the system more powerful.
    By using this system, we can compute realtime data effectively and have the platform-independent development environment. For scalability, we also can use existing tools to enhance the system.
    Advisory Committee
  • Hsiao-Kuang Wu - chair
  • Jain-Shing Liu - co-chair
  • Cheng-Fu Chou - co-chair
  • You-Chiun Wang - co-chair
  • Chun-Hung Lin - advisor
  • Files
  • etd-0622115-170321.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2015-07-25

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