A variational calculus approach to optimal checkpoint placement

• Published in: IEEE transactions on computers Vol. 50; no. 7; pp. 699 - 708
• Main Authors: Ling, Yibei, Mi, Jie, Lin, Xiaola
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-07-2001; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Availability; Calculus; Calculus of variations; Checkpointing; Cost function; Degradation; Failure rates; Fault tolerance; Fault tolerant systems; Frequency; Mathematical analysis; Mathematical model; Mathematical models; Optimization; Recovery; Studies; Time varying systems
• ISSN: 0018-9340; 1557-9956
• DOI: 10.1109/12.936236

Checkpointing is an effective fault-tolerant technique for improving system availability and reliability. However, a blind checkpointing placement can result in either performance degradation or expensive recovery cost. By means of the calculus of variations, we derive an explicit formula that links the optimal checkpointing frequency with a general failure rate, with the objective of globally minimizing the total expected cost of checkpointing and recovery. Theoretical result shows that the optimal checkpointing frequency is proportional to the square root of the failure rate and can be uniquely determined by the failure rate (time-varying or constant) if the recovery function is strictly increasing and the failure rate is /spl lambda/(/spl infin/)>0. J.L. Bruno and E.G. Coffman (1997) suggest that optimal checkpointing by its nature is a function of system failure rate, i.e., the time-varying failure rate demands time-varying checkpointing in order to meet the criteria of certain optimality. The results obtained in this paper agree with their viewpoint.