Analytic models for rollback and recovery strategies in data base systems

Authors:
Werner R. Uhrig
Affiliations:
Department of Computer Sciences, University of Texas at Austin, Austin, Tex. 78712
Venue:
IEEE Transactions on Software Engineering
Year:
1975

Citing 0
Cited 6

Numerical computation algorithms for sequential checkpoint placement

Performance Evaluation
Comprehensive evaluation of aperiodic checkpointing and rejuvenation schemes in operational software system

Journal of Systems and Software
Optimal backup policy for a database system with incremental and full backups

Mathematical and Computer Modelling: An International Journal
When Is the Right Time to Refresh Knowledge Discovered from Data?

Operations Research
A policy-based approach for strong mobility of composed Web services

Service Oriented Computing and Applications
An overview of recent data base research

ACM SIGMIS Database

Quantified Score

Hi-index	0.00

Visualization

Abstract

Rollback and recovery (RR) is a method of enhancing the reliability of file or data base systems. At certain points in time, called checkpoints, a copy of the data or files is made on tape (or other storage devices). A chronological record is kept of all transactions which modify the data stored by the system; this record is called the audit trail. When an error is detected, the copy of the files or data made at the most recent checkpoint is loaded, and all transactions on the audit trail since this check point are reprocessed in chronological sequence, thus recovering from the error. This paper presents models and techniques which aid in determining optimal times for checkpoints.