TY - GEN
T1 - Optimizing software rejuvenation policy based on CDM for cloud system
AU - Meng, Haining
AU - Zhang, Xu
AU - Zhu, Lei
AU - Wang, Lei
AU - Yang, Zijiang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The ever-increasing cloud-based systems are suffering progressive performance degradation due to internal accumulated errors and external security attacks. Software rejuvenation is a preventive maintenance policy to solve this problem. However, an ineffective rejuvenation policy usually causes high resource consumption and system cost loss. To guarantee the high availability and minimize the maintenance cost in the cloud-based system, a cost-effective rejuvenation policy is proposed based on cumulative damage model (CDM) in this paper. With our proposal, prior to system failure diagnosis, the system is managed to be rejuvenated either at a predetermined time or at a damage threshold level, whichever occurs first. Further, the system cost rate function is deduced, and an optimal rejuvenation period is derived aiming to minimize the maintenance cost. Experimental results show that the proposed rejuvenation policy is highly effective in term of great reduction on system cost rate.
AB - The ever-increasing cloud-based systems are suffering progressive performance degradation due to internal accumulated errors and external security attacks. Software rejuvenation is a preventive maintenance policy to solve this problem. However, an ineffective rejuvenation policy usually causes high resource consumption and system cost loss. To guarantee the high availability and minimize the maintenance cost in the cloud-based system, a cost-effective rejuvenation policy is proposed based on cumulative damage model (CDM) in this paper. With our proposal, prior to system failure diagnosis, the system is managed to be rejuvenated either at a predetermined time or at a damage threshold level, whichever occurs first. Further, the system cost rate function is deduced, and an optimal rejuvenation period is derived aiming to minimize the maintenance cost. Experimental results show that the proposed rejuvenation policy is highly effective in term of great reduction on system cost rate.
KW - cloud computing
KW - cost rate
KW - Cumulative damage model
KW - software maintenance
UR - https://www.scopus.com/pages/publications/85047387054
U2 - 10.1109/ICIEA.2017.8283139
DO - 10.1109/ICIEA.2017.8283139
M3 - 会议稿件
AN - SCOPUS:85047387054
T3 - Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
SP - 1850
EP - 1854
BT - Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Y2 - 18 June 2017 through 20 June 2017
ER -