<link rel="stylesheet" href="styles.cf390c6bfbe7555f.css">

學術出版;;Publications

Permanent URI for this communityhdl:11536/1

收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

Browse

🏛️國立陽明交通大學機構典藏

Author: search.filters.author.Fan, Chih-TienSubject: search.filters.subject.Cloud computing

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item type:Item,
    A Cross Language Plagiarism Detection Based on Cloud Computing
    (2015-01-01)
    Fan, Chih-Tien
    ;
    Nguyen Dang Minh
    ;
    Muhammad, Husaini
    ;
    交大名義發表
    ;
    National Chiao Tung University
    Nowadays, language barrier is getting lower, especially for the students. Most of them know at least one foreign language. Even that, translation through the cloud is getting popular. There are many machine translation services can be access easily via Internet. These services work accurately and support many languages. They are even embedded by default in web browser of users and in mobile devices. This is easiest way for a student to translate a sentence from any language, and of course easy for cross-language plagiarism too. It makes plagiarism is getting difficult to detect. In this paper, we exploited cloud services and cloud computing model for detecting cross-language plagiarism. We downloaded a translation of the article from a website of Vietnam and Vietnamese local news provider then used as a test dataset. These articles were first translated into the English using translation services on the Web. Again, each translated sentences were sent to the web search engine to find related articles. Then, we compared this sentence with each sentence in the related articles to find out its score of plagiarism. Finally, we computed the score of plagiarism of this article. Experiment results show that the accuracy of detection is slightly higher than 0.5.
  • Thumbnail Image
    Item type:Item,
    Implementing a Workflow Agent on Federated Cloud
    (2015)
    Jhu, Syuan-Ru
    ;
    Fan, Chih-Tien
    ;
    Yuan, Shyan-Ming
    ;
    Chang, Yue-Shan
    ;
    資訊工程學系
    Workflow scheduling is the way to schedule the complex scientific workflow. In a cloud platform, the resources can be utilized more effectively and efficiently by scheduling the workflow properly. In this paper, an agent-based workflow scheduling mechanism on cloud environment is proposed. We implement a set of agents that can federate multiple clouds and automatically monitor the entire system, and manage the job if it\'s a workflow job. We also implement a dynamic job dispatching algorithm to reduce the VM usage amount and improve the resource utilization.