Human dynamics revealed through log analytics in a cloud computing environment

Authors:
Sixi Chen;Ning An;Lian Li;Yongwei Wu;Weimin Zheng;Lin Sun
Affiliations:
Gerontechnology Lab, Hefei University of Technology, Hefei, China;Gerontechnology Lab, Hefei University of Technology, Hefei, China;Gerontechnology Lab, Hefei University of Technology, Hefei, China;Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China;Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China;Gansu Institute of Political Science and Law, Gansu, China
Venue:
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Year:
2013

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Abstract

Researchers have used the Web to better observe, monitor and reason various aspects of human behaviors. In the growing popularity of Cloud Computing environments, however, this important topic has yet to be carefully investigated. In this paper, we analyze 5-month logs detailing the access history to MeePo system that is a private cloud storage service deployed at Hefei University of Technology providing storage services to its college students. We find interesting activity patterns both for individual users and entire population. In particular, we find that the real world phenomena can be reflected closely in MeePo system.