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iHDViewer: A Visualization Tool for Tracking HD
2018
会议录名称2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP)
ISSN2375-9356
页码340-347
发表状态已发表
DOI10.1109/BigComp.2018.00057
摘要Visualization techniques on hierarchical information have been proved their capability in presenting structured disk storage data. However, most existing techniques represented with simple visual methods such as pie chart or histogram, lacking the ability of grasping the usage of the computer. This paper presents a new interactive visualization technique named iHard Disk Viewer (iHDViewer), which aims to display file details and their movement histories, as well as predict the user's activities through visualization results. This tool mainly utilizes four different view panels to display the distribution of files and file folders for a computer system. Specifically, A tree view explains the general distribution of the whole disk storage; A river trend view tracks the files moving history, which is implemented by cubic spline interpolator with restricted boundary conditions to ensure the trend stability and information accuracy; We also use the concept of coordinate extension to visualize the file moving events which supports more intuitive results; A filelist view panel shows the details of the selected files; while a circle view panel interactively displays the status of files and file folders. In addition, considering the importance of human visual perception system in the data analyzing processes, we utilize three color design principles to work through all visual methods. Lastly, this paper demonstrates the effectiveness and efficiency of our new idea to visually analyze computer FileSystems.
关键词Visualization Cubic Spline Interpolation Flow Trend Visualization Interactive Visualization Visual Perception
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点Shanghai, China
会议日期15-17 Jan. 2018
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收录类别CPCI ; CPCI-S ; EI
语种英语
资助项目National Natural Science Foundation of China[61502306]
WOS研究方向Computer Science
WOS类目Computer Science, Theory & Methods
WOS记录号WOS:000435014000048
出版者IEEE
EI入藏号20182505332431
EI主题词Big data ; Digital storage ; Flow visualization ; Interpolation ; Vision ; Visualization
EI分类号Fluid Flow, General:631.1 ; Data Storage, Equipment and Techniques:722.1 ; Data Processing and Image Processing:723.2 ; Numerical Methods:921.6
WOS关键词VISUAL ANALYSIS ; SOCIAL MEDIA ; TEXT ; COLLECTIONS ; TOPICS
原始文献类型Proceedings Paper
来源库IEEE
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/27372
专题信息科学与技术学院
信息科学与技术学院_PI研究组_刘晓培组
信息科学与技术学院_PI研究组_郑友怡组
信息科学与技术学院_硕士生
信息科学与技术学院_博士生
通讯作者Zheng, Youyi
作者单位
1.ShanghaiTech Univ, Shanghai, Peoples R China
2.Tianjin Univ, Tianjin, Peoples R China
3.Zhejiang Univ, Hangzhou, Zhejiang, Peoples R China
第一作者单位上海科技大学
通讯作者单位上海科技大学
第一作者的第一单位上海科技大学
推荐引用方式
GB/T 7714
Wang, Wenbo,Luo, Xi,Lu, Liangfu,et al. iHDViewer: A Visualization Tool for Tracking HD[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:340-347.
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