Abstract
An interconnection network’s diagnosability is an important metric for measuring its self-diagnostic capability. Permanent fault and intermittent fault are two different fault models that exist in an interconnection network. In this paper, we focus on the problem pertaining to the diagnosability of interconnection networks in an intermittent fault situation. First, we study a class of interconnection networks called crisp three-cycle networks, in which the cn in -number (the number of common vertices each pair of vertices share) is no more than one. Necessary and sufficient conditions are derived for the diagnosability of crisp three-cycle networks under the PMC (Preparata, Metze, and Chien) model. A simple check can show that many well-known interconnection networks are crisp three-cycle networks. Second, we prove that an interconnection network S is a t i -fault diagnosable system without repair if and only if its minimum in-degree is greater than t i under the BGM (Barsi, Grandoni, and Masetrini) model. Finally, we extend the necessary and sufficient conditions to determine whether an interconnection network S is t i -fault diagnosable without repair under the MM (Maeng and Malek) model from the permanent fault situation to the intermittent fault situation.
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Mallela S, Masson G M. Diagnosable systems for intermittent faults. IEEE Transactions on Computers, 1978, 27(6): 560-566.
Hong W, Hsien S. Strong diagnosability and conditional diagnosability of augmented cubes under the comparison diagnosis model. IEEE Transactions on Reliability, 2012, 62(1): 140-148.
Preparata F, Metze G, Chien R. On the connection assignment problem of diagnosable system. IEEE Transactions on Computers, 1967, 16(6): 848-854.
Peng S, Lin C, Tan J et al. The g-good-neighbor conditional diagnosability of hypercube under PMC model. Applied Mathmatics and Computation, 2012, 218(21): 10406-10412.
Ye L, Liang J. Five-round adaptive diagnosis in Hamiltonian networks. IEEE Transactions on Parallel and Distributed Systems, 2015, 26(9): 2459-2464.
Araki T, Shibata Y. (t, k)-fault diagnosable system: A generalization of the PMC models. IEEE Transactions on Computers, 2003, 52(7): 971-975.
Somani A, Agarwal V, Avis D. A generalized theory for system level diagnosis. IEEE Transactions on Computers, 1987, 36(5): 538-546.
Chang G, Chang G, Chen G. Diagnosability of regular networks. IEEE Transactions on Parallel and Distributed Systems, 2005, 16(4): 314-323.
Kavianpour A, Kim K. Diagnosability of hypercubes under the pessimistic one-step strategy. IEEE Transactions on Computers, 1991, 40(2): 232-237.
Chang N, Hsieh S. Structural properties and conditional diagnosability of star graphs by using the PMC model. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(11): 3002-3011.
Lin L, Zhou S, Xu L, Wang D. The extra connectivity and conditional diagnosability of alternating group networks. IEEE Transactions on Parallel and Distributed Systems, 2015, 26(8): 2352-2362.
Lin L, Xu L, Zhou S, Hsieh S. The t/k-diagnosability for regular networks. IEEE Transactions on Computers, 2016, 65(10): 3157-3170.
Barsi F, Grandoni F, Masetrini P. A theory of diagnosability of digital systems. IEEE Transactions on Computers, 1976, 25(6): 585-593.
Albini L, Chessa S, Maestrini P. Diagnosis of symmetric graphs under the BGM model. Computer Journal, 2004, 47(1): 85-92.
Maeng J, Malek M. A comparison connection assignment for self-diagnosis of multiprocessor systems. In Proc. the 11th International Symposium of Fault-Tolerant Computing, March 1981, pp.173-175.
Sengupta A, Dahbura A. On self-diagnosable multiprocessor systems: Diagnosis by the comparison approach. IEEE Transactions on Computers, 1992, 41(11): 1386-1396.
Hsieh S, Lee C. Diagnosability of two-match composition networks under the MM* model. IEEE Transactions on Dependable and Scure Computing, 2011, 8(2): 246-255.
Ye T, Hsieh S. A scalable comparison-based diagnosis algorithm for hypercube-like networks. IEEE Transactions on Reliability, 2013, 62(4): 789-799.
Wang D. Diagnosability of hypercubes and enhanced hypercubes under the comparison diagnosis model. IEEE Transactions on Computers, 1999, 48(12): 1369-1374.
Hsieh S, Chen Y. Strongly diagnosable product networks under comparison diagnosis model. IEEE Transactions on Computers, 2008, 57(6): 721-732.
Zhu Q, Guo G, Wang D. Relating diagnosability, strong diagnosability and conditional diagnosability of strong networks. IEEE Transactions on Computers, 2014, 63(7): 1847-1851.
Ye L, Liang J, Lin H. A fast pessimistic diagnosis algorithm for hypercube-like networks under the comparison model. IEEE Transactions on Computers, 2016, 65(9): 2884-2888.
Dahbura A, Masson G M. An O(n2.5) fault identification algorithm for diagnosable systems. IEEE Transactions on Computers, 1990, 33(6): 486-492.
Chang N, Deng W, Hsieh S. Conditional diagnosability of (n, k)-star networks under the comparison diagnosis model. IEEE Transactions on Reliability, 2015, 64(1): 132-143.
Hsieh S, Kao C. The conditional diagnosability of k-ary ncubes under the comparison diagnosis model. IEEE Transactions on Computers, 2013, 62(4): 839-843.
Xu L, Lin L, Zhou S, Hsieh S. The extra connectivity, extra conditional diagnosability, and t/m-diagnosability of arrangement graphs. IEEE Transactions on Reliability, 2016, 65(3): 1248-1262.
Lin L, Zhou S, Xu L, Wang D. The extra connectivity and conditional diagnosability of alternating group networks. IEEE Transactions on Parallel and Distributed Systems, 2015, 26(8): 2352-2362.
Chen C, Hsieh S. Component-composition graphs: (t, k)-diagnosability and its application. IEEE Transactions on Computers, 2013, 62(6): 1097-1110.
Hsieh S, Tsai C, Chen C. Strong diagnosability and conditional diagnosability of multiprocessor systems and folded hypercubes. IEEE Transactions on Computers, 2013, 62(7): 1472-1477.
Liang J, Huang Y, Ye L. Diagnosabilities of exchanged hypercube networks under the pessimistic one-step diagnosis strategy. Journal of Systems Engineering and Electronics, 2015, 26(2): 415-420.
Fan J, He L. BC connection networks and their properties. Chinese Journal of Computers, 2003, 26(1): 84-90. (in Chinese)
Chiang W, Chen R. Topological properties of the (n, k)-star graph. International Journal of Foundations of Computer Science, 1998, 9(2): 235-248.
Loh P, Hsu W, Pan Y. The exchanged hypercube. IEEE Transactions on Parallel and Distributed Systems, 2005, 16(9): 866-874.
Dally W. Performance analysis of k-ary n-cube interconnection networks. IEEE Transactions on Computers, 1990, 39(6): 775-785.
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Liang, JR., Feng, H. & Du, X. Intermittent Fault Diagnosability of Interconnection Networks. J. Comput. Sci. Technol. 32, 1279–1287 (2017). https://doi.org/10.1007/s11390-017-1800-5
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DOI: https://doi.org/10.1007/s11390-017-1800-5