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http://dx.doi.org/10.13089/JKIISC.2021.31.3.443

Tracking Data through Tracking Data Server in Edge Computing  

Lim, Han-wool (Sejong University)
Byoun, Won-jun (Sejong University)
Yun, Joobeom (Sejong University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.31, no.3, 2021 , pp. 443-452 More about this Journal
Abstract
One of the key technologies in edge computing is that it always provides services close to the user by moving data between edge servers according to the user's movements. As such, the movement of data between edge servers is frequent. As IoT technology advances and usage areas expand, the data generated also increases, requiring technology to accurately track and process each data to properly manage the data present in the edge computing environment. Currently, cloud systems do not have data disposal technology based on tracking technology for data movement and distribution in their environment, so users cannot see where it is now, whether it is properly removed or not left in the cloud system if users request it to be deleted. In this paper, we propose a tracking data server to create and manage the movement and distribution of data for each edge server and data stored in the central cloud in an edge computing environment.
Keywords
Edge Computing; IoT; Data Tracking; Distributed File System; Data Deletion;
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