Human dynamics revealed through log analytics in a cloud computing environment

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. © 2013 Springer-Verlag Berlin Heidelberg.