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Analytic models for rollback and recovery strategies in data base systems
March 1975 (vol. 1 no. 1)
pp. 100-110
ASCII Text
x 
 
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.
 
 
BibTex
x
 
@article{ 10.1109/TSE.1975.6312824,
author = {K. Mani Chandy and James C. Browne and Charles W. Dissly and Werner R. Uhrig},
title = {Analytic models for rollback and recovery strategies in data base systems},
journal ={IEEE Transactions on Software Engineering},
volume = {1},
number = {1},
issn = {0098-5589},
year = {1975},
pages = {100-110},
doi = {http://doi.ieeecomputersociety.org/10.1109/TSE.1975.6312824},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Software Engineering
TI - Analytic models for rollback and recovery strategies in data base systems
IS - 1
SN - 0098-5589
SP100
EP110
EPD - 100-110
A1 - K. Mani Chandy,
A1 - James C. Browne,
A1 - Charles W. Dissly,
A1 - Werner R. Uhrig,
PY - 1975
KW - Checkpointing
KW - Analytical models
KW - Availability
KW - Load modeling
KW - Software reliability
KW - Computational modeling
KW - systems modeling
KW - Data base systems
KW - graph theory
KW - probabilistic models
KW - rollback and recovery strategies
KW - software reliability
VL - 1
JA - IEEE Transactions on Software Engineering
ER -
 
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
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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