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pro vyhledávání: '"Continuous data protection"'
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Autor:
Jungjoo Moon, Seokil Song
Publikováno v:
The Journal of Korean Institute of Information Technology. 18:21-29
Publikováno v:
Proceedings of the VLDB Endowment. 13:1429-1442
This paper presents a new Disaster Recovery (DR) system, called Slogger, that differs from prior works in two principle ways: (i) Slogger enables DR for a linearizable distributed data store, and (ii) Slogger adopts the continuous backup approach tha
Publikováno v:
SIGMOD Conference
Continuous Data Protection (CDP) is becoming instrumental in recovering applications from crypto-ransomware attacks. It enables fine-grained recovery through journaling, allowing the applications (its volumes) to recover to any previous state. While
Publikováno v:
IEEE Access, Vol 7, Pp 151569-151578 (2019)
Continuous Data Protection (CDP) is an emerging scheme of data backup and recovery for Cyber Security. Compared with traditional data protection techniques, it can provide much higher reliability and allow the data state to be reverted to any point-i
Autor:
Dan Jin, Qiong Wang
Publikováno v:
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA).
The continuous data protection system based on IO replication for existing databases cannot meet the problem of data consistency. A CDP backup and recovery method for database consistency is proposed. The method determines the consistency status of t
Publikováno v:
Machine Learning for Cyber Security ISBN: 9783030622220
ML4CS (1)
ML4CS (1)
Massive data is the basis of machine learning, and continuous data protection is an effective means to ensure data integrity and availability. At present, continuous data protection adopts the same backup strategy in different host security environme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a8400df746b1226913c539db949597b
https://doi.org/10.1007/978-3-030-62223-7_45
https://doi.org/10.1007/978-3-030-62223-7_45
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 10:2945-2954
Storage reliability of massive amounts of data is the basis for deep learning, and continuous data protection (CDP) technology is an effective means of ensuring it. The method of storing CDP historical data, represented by TRAP-Array parity logs, eff
Publikováno v:
Future Generation Computer Systems. 73:13-21
For the purpose of ensuring data security, traditional systems have widely used redundancy backup to store multiple copies of data. Multiple copies technology has high reliability, but also has the disadvantage of high redundancy storage and low spac
Autor:
Hong wang
Publikováno v:
Procedia Computer Science. 107:80-83
We lived in a world of data. Data can be created and used continuously across an organization[1]. For us, how to ensure the availability of data and protecting it from out of use is the challenge we need to face. Recently,Continuous Data Protection i