DocumentCode :
1769023
Title :
Packet logging mechanism for adaptive online fault detection on Network-on-Chip
Author :
Ling Kim Loo ; Chia Yee Ooi ; Liew, V.Y. ; Yuan Wen Hau ; Marsono, M.N.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
1760
Lastpage :
1763
Abstract :
The shrinking size of transistors and smaller interconnect elements contribute to higher probability of on-chip faults. In order to sustain the functionality of a system in the presence of faults, fault tolerance becomes one of the key feature in Network-on-Chip (NoC) design methodology. Existing end-to-end (E2E) error detection and correction (EDC) performs well at low error rate whereas switch-to-switch (S2S) EDC performs better at high error rate. Nonetheless, choosing between both techniques is required with changing fault occurrence probability. This paper proposes an adaptive online fault detection based on packet logging mechanism. In this proposed mechanism, each router logs transmitted packets and NACK packets as well as monitors its fault level continuously. Then, the router will determine either to use E2E or S2S EDC based on error probability. Based on experimental results, our proposed adaptive method switches between E2E or S2S relative to error probability performs better than only E2E or S2S.
Keywords :
error statistics; fault diagnosis; fault tolerance; network-on-chip; probability; EDC; NACK packets; adaptive online fault detection; error detection and correction; error probability; fault occurrence probability; fault tolerance; network-on-chip design; on-chip faults; packet logging mechanism; Circuit faults; Error probability; Fault detection; Fault tolerance; Fault tolerant systems; Radiation detectors; System-on-chip; Fault Tolerance; Flow Control; Network-on-chip; Packet Logging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location :
Melbourne VIC
Print_ISBN :
978-1-4799-3431-7
Type :
conf
DOI :
10.1109/ISCAS.2014.6865496
Filename :
6865496
Link To Document :
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