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Journal of Information Science and Engineering, Vol.19 No.4, pp.653-665 (July 2003)


Q(N5/6) Time Complexity of Fault Diagnosis algorithms in N´N Dilated Blocking Photonic Switching Networks

I-Shyan Hwang, Hung-Chang Lin and San-Nan Lee
Department of Computer Engineering and Science
Yuan-Ze University
Chungli, 320 Taiwan

Dilated Optical Multistage Interconnection Networks (DOMINs) based on 2 × 2 directional coupler photonic switches play an important role in all-optical high-performance networks, especially for the emerging IP over DWDM architectures. The problem of crosstalk within photonic switches is underestimated due to the aging of the switching element, control voltage, temperature and polarization, and thus causes undesirable coupling of the signal from one path to the other. Previous works [18] designed an efficient diagnosing disjoint faults algorithm in small sized networks, which reduced the number of tests required by overlapping the tests with computations to one half in photonic switching networks. Furthermore, this paper generically derives algorithms and mathematical modules to find the optimal degree of parallelism of faults diagnosis for N × N dilated blocking networks, as the size of network is larger. Taking advantage of the properties of disjoint faults, diagnosis can be accelerated significantly because the optimal degree of parallel fault diagnosis may grow exponentially. To reduce the diagnosis time, an algorithm is proposed herein to find the maximum number of disjoint faults. Rather than requiring up to 4MN tests as a native approach, a two-phase diagnosis algorithm is proposed to reduce the testing requirement to 4N tests. This study extends the concept of disjoint faults to reduce the number of tests to the time efficiency of Q(N5/6) for N × N DOMINs.

Keywords: dilated photonic switching network, crosstalk fault, degree of parallelism, fault diagnosis algorithm, disjoint-faults

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Received November 20, 2001; revised July 22, 2002; accepted August 5, 2002.
Communicated by Jang-Ping Sheu