Browsing by Author "Wu, Zong-You"

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A Cloud Based Dynamic Content Delivery Network
(2015-01-01)
Fan, Chih-Tien
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Piboonudompornkul, Pawat
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Wu, Zong-You
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交大名義發表
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National Chiao Tung University
In this paper, proposed Cloud based Content delivery network system to serve a dynamic web content delivery service. We used MongoDB as a NoSQL database, deploy inside each HDFS nodes server and connect database together as a replication set of database. This system ensures web content provider will receive a high performance, high availability and fault tolerance from power of NoSQL database technology. From the problem when web content provider want to move their web content in MySQL database environment to work in NoSQL database environment. User require a lot of time change their web content to work with new database environment and think about different schema of each database. So, we also study about Relational database management system (RDBMS) compare with NoSQL database, MongoDB. This work find out differentiation of this two type of database in different aspect: characteristic of each database, feature, database scheme and how to mapping this database query language together. The result of this work we done to develop simple and useful helper tools: PHP MySQL connector and MySQL database migrate tool. This tool is make web content provide easy and fast for migrate their web content from MySQL database web server environment to use our Cloud Based Dynamic Content Delivery Network without any special knowledge with NoSQL database.
Web Resource Cacheable Edge Device in Fog Computing
(2016-01-01)
Fan, Chih-Tien
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Wu, Zong-You
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Chang, Che-Pin
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Yuan, Shyan Ming
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資訊科學與工程研究所
The bandwidth of the network is precious. As cloud computing provides powerful computation power and more and more devices are connected to the Internet there is a need to seek for methods to reduce the traffic. Fog computing was proposed to adding the computation and storage ability to the edge devices. The requests from the end device can be preprocessed or even responded at the edge device. In this work, the ability of Web Resource Caching is added to the edge device to serve as a caching proxy server. In order to obtain more caching storage, the end devices are also exploits to provide some caching space. As the whole caching storage is enlarged, large resource like media files are able to be cached near to the end devices once any of the end devices in the same network just recently requested it. The result shows that the proposed architecture has better downloading latency compares to the single caching proxy approach.