TY - GEN
T1 - Distributed Log System in Cloud Digital Forensics
AU - Jiang, Ci Bin
AU - Liu, I. Hsien
AU - Liu, Chuan Gang
AU - Chen, Yi Chen
AU - Li, Jung Shian
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/16
Y1 - 2017/2/16
N2 - Cloud computing in recent years has become very popular and, indeed, many current applications are served from the cloud. Because the cloud architecture is based on virtual machines, VMs and VM management are quite important. Monitoring a large number of virtual machines is an important research topic. Since the establishment of the Personal Information Protection Act, there has been more attention focused on cloud security. Among cloud security topics, log analysis allows insight into virtual machine operation. If there are incidents, they need to be reported instantly in order to maintain information security. Consequently, log collection and real time warning systems are necessary. In this paper, we propose a distributed management architecture and evaluate its system performance. We also discuss the effects on the system due to bandwidth and background traffic ratios, VM numbers and transmission time using a set of simulations. The results show the proposed architecture not only saves time, but also reduces the load of log transmission for monitoring cloud services.
AB - Cloud computing in recent years has become very popular and, indeed, many current applications are served from the cloud. Because the cloud architecture is based on virtual machines, VMs and VM management are quite important. Monitoring a large number of virtual machines is an important research topic. Since the establishment of the Personal Information Protection Act, there has been more attention focused on cloud security. Among cloud security topics, log analysis allows insight into virtual machine operation. If there are incidents, they need to be reported instantly in order to maintain information security. Consequently, log collection and real time warning systems are necessary. In this paper, we propose a distributed management architecture and evaluate its system performance. We also discuss the effects on the system due to bandwidth and background traffic ratios, VM numbers and transmission time using a set of simulations. The results show the proposed architecture not only saves time, but also reduces the load of log transmission for monitoring cloud services.
UR - http://www.scopus.com/inward/record.url?scp=85015278062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015278062&partnerID=8YFLogxK
U2 - 10.1109/ICS.2016.0059
DO - 10.1109/ICS.2016.0059
M3 - Conference contribution
AN - SCOPUS:85015278062
T3 - Proceedings - 2016 International Computer Symposium, ICS 2016
SP - 258
EP - 263
BT - Proceedings - 2016 International Computer Symposium, ICS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Computer Symposium, ICS 2016
Y2 - 15 December 2016 through 17 December 2016
ER -