TY - GEN
T1 - An Effective Remote Data Disaster Recovery Plan for the Space TT&C System
AU - Han, Weijie
AU - Xue, Jingfeng
AU - Zhang, Fuquan
AU - Sun, Zhonghui
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - The critical asset data of the Space Tracking Telemetry and Command (TT&C) System plays an important role in fulfilling space missions. According to analyze the current storing methods and disaster recovery requirements of the data, the remote data disaster recovery techniques are studied based on the remote replication capability of the Oracle database, and the remote data disaster recovery plan is developed for the space TT&C system. Furthermore, the experiment is conducted to validate the plan by building a simulation environment. The experiment results demonstrate that the plan can reach the fifth degree of the disaster recovery level and satisfy the following three performance requirements including recoverability, reliability and real-time performance, and therefore realize remote disaster recovery of the critical asset data for the space TT&C system efficiently.
AB - The critical asset data of the Space Tracking Telemetry and Command (TT&C) System plays an important role in fulfilling space missions. According to analyze the current storing methods and disaster recovery requirements of the data, the remote data disaster recovery techniques are studied based on the remote replication capability of the Oracle database, and the remote data disaster recovery plan is developed for the space TT&C system. Furthermore, the experiment is conducted to validate the plan by building a simulation environment. The experiment results demonstrate that the plan can reach the fifth degree of the disaster recovery level and satisfy the following three performance requirements including recoverability, reliability and real-time performance, and therefore realize remote disaster recovery of the critical asset data for the space TT&C system efficiently.
KW - Database disaster recovery
KW - Oracle DataGuard
KW - Oracle GoldenGate
KW - Remote data disaster recovery
KW - The space TT&C system
UR - http://www.scopus.com/inward/record.url?scp=85097170571&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-62460-6_4
DO - 10.1007/978-3-030-62460-6_4
M3 - Conference contribution
AN - SCOPUS:85097170571
SN - 9783030624590
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 31
EP - 41
BT - Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Proceedings
A2 - Chen, Xiaofeng
A2 - Yan, Hongyang
A2 - Yan, Qiben
A2 - Zhang, Xiangliang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Machine Learning for Cyber Security, ML4CS 2020
Y2 - 8 October 2020 through 10 October 2020
ER -