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Article type: Research Article
Authors: Arora, Anish; | Gouda, Mohamed | Varghese, George
Affiliations: Department of Computer and Information Science, The Ohio State University, Columbus, OH 43210, USA | Department of Computer Sciences, The University of Texas, Austin, TX 78755, USA | Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Note: [] Corresponding author: Department of Computer and Information Science, The Ohio State University, 2015 Neil Avenue Mall, Columbus, OH 43210, USA, Tel.: +1 614 292 1836; Fax: +1 614 292 2911; E-mail: [email protected], Web: http://www.cis.ohio-state.edu/~anish.
Abstract: We present a method for the design of nonmasking fault-tolerant programs. In our method, a set of constraints is associated with each program. As long as faults do not occur, the constraints are continually satisfied under the execution of program actions. Whenever some of the constraints are violated, due to certain faults, all constraints are eventually reestablished by subsequent execution of the program actions. To design programs thus, two types of program actions are distinguished: ‘closure’ actions and ‘convergence’ actions. Closure actions are the actions that perform the intended computation of the program when all of the constraints are satisfied. Convergence actions are the actions that reestablish the constraints when they have been violated. Sufficient conditions for the validation of closure and convergence actions are formalized in terms of a ‘constraint graph’. These conditions are illustrated by designing nonmasking fault-tolerant programs for diffusing computations, atomic actions, and token rings.
Keywords: Design, methodology, distributed constraints, nonmasking fault-tolerance, closure, convergence, stabilization
DOI: 10.3233/JHS-1996-5305
Journal: Journal of High Speed Networks, vol. 5, no. 3, pp. 293-306, 1996
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