The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Update propagation protocols for replicated databates
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Designing and mining multi-terabyte astronomy archives: the Sloan Digital Sky Survey
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Database Replication Techniques: A Three Parameter Classification
SRDS '00 Proceedings of the 19th IEEE Symposium on Reliable Distributed Systems
Recovery Oriented Computing (ROC): Motivation, Definition, Techniques,
Recovery Oriented Computing (ROC): Motivation, Definition, Techniques,
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
Optimized Data Loading for a Multi-Terabyte Sky Survey Repository
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Integrating compression and execution in column-oriented database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Using fault injection and modeling to evaluate the performability of cluster-based services
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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Because of the huge scale and numerous components, a massive database system's availability has become a serious challenge. Many database replication technologies are used to increase the MTTF, but few are provided to decrease MTTR in massive database systems where the traditional backup methods are not feasible for expensive human cost. Based on analyzing the characteristics of the data in massive databases, we propose a novel approach called Detaching Read-Only (DRO) mechanism and its variation DRO+. It decreases MTTR through reducing the size of physically changing data in every database by detaching data on node granularity. The analysis and experiment results show that our approach can not only reduce MTTR by an order of magnitude, but also reduce the expensive human cost without extra hardware cost.