Presentation 2019-01-17
Synthetic Trace Generation for Tag Based File Management Systems
Nami Kuge, Marat Zhanikeev,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) With rapidly growing volume of enterprise data, there is a need for tag-based file management system. However, while there are many publicly available filesystem traces, there are no traces containing tags, to the day. This paper generates such traces using distributions and information extracted from several real traces. The synthetic traces generated using the method in this paper can be used to analyze tag folksonomies, social graphs and other aspects of future file management systems.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) folksonomy / tagging / file management system / synthetic traces
Paper # CQ2018-76
Date of Issue 2019-01-10 (CQ)

Conference Information
Committee CQ
Conference Date 2019/1/17(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Metropolitan Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc.
Chair Takanori Hayashi(Hiroshima Inst. of Tech.)
Vice Chair Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT)
Secretary Hideyuki Shimonishi(NTT) / Jun Okamoto(Nippon Inst. of Tech.)
Assistant Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Ryo Yamamoto(UEC)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Synthetic Trace Generation for Tag Based File Management Systems
Sub Title (in English)
Keyword(1) folksonomy
Keyword(2) tagging
Keyword(3) file management system
Keyword(4) synthetic traces
1st Author's Name Nami Kuge
1st Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
2nd Author's Name Marat Zhanikeev
2nd Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
Date 2019-01-17
Paper # CQ2018-76
Volume (vol) vol.118
Number (no) CQ-395
Page pp.pp.1-6(CQ),
#Pages 6
Date of Issue 2019-01-10 (CQ)