Programs
- Amrita’s Fetal Cardiology learning ( AFCL) Module – Fetal Heart Hybrid - Fellowship
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Paper
Publisher : Proceedings of 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing
Source : Proceedings of 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, PDGC 2012, Waknaghat, Solan, Himachal Pradesh, p.107-113 (2012)
Keywords : Aerospace applications, Computer simulation, Extensive simulations, Fault conditions, Fault tolerance, Fault-tolerant, Generic simulators, Grid computing, Multi processor systems, Multiprocessing systems, Multiprocessor, Power requirement, Real time scheduling, Real time systems, Resource management, Safety critical systems, Safety-critical, Traditional systems
Campus : Coimbatore
School : School of Engineering
Department : Computer Science, Electrical and Electronics
Year : 2012
Abstract : pMassively redundant hardware as the traditional means for fault tolerance in multiprocessor safety-critical systems especially for aerospace applications can be exorbitant and not very favorable for its weight, size and power requirements. Here, we propose an effective fault tolerant real-time multiprocessor system model with the same level of redundancy as that of a traditional system but can handle additional workload at no extra cost. This paper gives the design of an effective fault tolerant real-time system model and the design of a generic simulator FaRReTSim, which has been used to perform extensive simulation studies for the model. The performance of the real-time system model has been evaluated under fault free and fault conditions using FaRReTSim. © 2012 IEEE./p
Cite this Research Publication : Aa Anand, Rajendra, Ya, Narayanan, Sa, and Radhamani, P. Vb, “Modelling, implementation and testing of an effective fault tolerant multiprocessor real-time system”, in Proceedings of 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, PDGC 2012, Waknaghat, Solan, Himachal Pradesh, 2012, pp. 107-113.