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<p>Efficient solutions to the problem of optimally selecting recovery points are developed. The solutions are intended for models of computation in which task precedence has a tree structure and a task may fail due to the presence of faults. An algorithm to minimize the expected computation time of the task system under a uniprocessor environment has been developed for the binary tree model. The algorithm has time complexity of O(N/sub 2/), where N is the number of tasks, while previously reported procedures have exponential time requirements. The results are generalized for an arbitrary tree model.</p>
tree task models; recovery points; task precedence; tree structure; uniprocessor environment; binary tree model; time complexity; exponential time requirements; arbitrary tree model; computational complexity; optimisation; trees (mathematics)

V. Raghavan, N. Tzeng and S. Mishra, "Efficient Algorithms for Selection of Recovery Points in Tree Task Models," in IEEE Transactions on Software Engineering, vol. 17, no. , pp. 731-735, 1991.
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