Abstract
In the application of component-based distributed computing systems, many software systems allow the existence of large numbers of potentially faulty components. Faults are inevitable in this large-scale, complex, distributed components setting, which may include a lot of untrustworthy parts. How to provide a highly reliable component-based distributed system is a challenging problem. Redundancy and replication are generally utilized to realize the goal of fault tolerance. In this paper, we propose a technique of Critical Fault Iterative (CFI) redundancy, by which the efficiency can be guaranteed to make use of resources (e.g., computation, storage), and to create fault-tolerance applications. The function invocation relationships and invocation frequencies are employed to rank the importance of functions and identify the most vulnerable functions. A formal theoretical analysis and an experimental analysis are presented. Compared with the existing methods, the reliability of a component-based distributed system can be greatly improved by tolerating a small part of significant functions.
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Wang, H., Wang, Y., Zhou, L., Jiang, K. (2014). Understanding Iterative Redundancy for Vulnerability-Driven Fault Tolerance Strategy. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_68
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DOI: https://doi.org/10.1007/978-3-319-09265-2_68
Publisher Name: Springer, Cham
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