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Issue No.01 - March (1975 vol.1)
pp: 100-110
K. Mani Chandy , Department of Computer Sciences, University of Texas at Austin, Austin, Tex. 78712
James C. Browne , Department of Computer Sciences, University of Texas at Austin, Austin, Tex. 78712
Charles W. Dissly , Department of Computer Sciences, University of Texas at Austin, Austin, Tex. 78712
Werner R. Uhrig , Department of Computer Sciences, University of Texas at Austin, Austin, Tex. 78712
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.
INDEX TERMS
Checkpointing, Analytical models, Availability, Load modeling, Software reliability, Computational modeling, systems modeling, Data base systems, graph theory, probabilistic models, rollback and recovery strategies, software reliability
CITATION
K. Mani Chandy, James C. Browne, Charles W. Dissly, Werner R. Uhrig, "Analytic models for rollback and recovery strategies in data base systems", IEEE Transactions on Software Engineering, vol.1, no. 1, pp. 100-110, March 1975, doi:10.1109/TSE.1975.6312824
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