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Dependable Automotive CAN Networks
Published in Nicolas Navet, Françoise Simonot-Lion, Automotive Embedded Systems Handbook, 2017
Juan Pimentel, Julian Proenza, Luis Almeida, Guillermo Rodriguez-Navas, Manuel Barranco, Joaquim Ferreira
Both the node failure detection and the membership services are based on signaling the node activity through the broadcast of a life-sign message similar to a heartbeat. In some cases, these life-sign messages can be piggybacked on periodic messages of the system, thus reducing the bandwidth required by the protocol. Due to space limitations, it is not possible to describe the mechanisms that CANELy specifies in order to consistently manage the life-sign messages as well as the join/leave messages [RUFI03]. These mechanisms are inspired on the CANELy broadcast protocols [RUFI99], which were reviewed in Section 6.2.
A novel proactive Health Aware Fault Tolerant (HAFT) scheduler for computational grid based on resource failure data analytics
Published in International Journal of Computers and Applications, 2019
A. Shamila Ebenezer, Elijah Blessing Rajsingh, Baskaran Kaliaperumal
The Globus toolkit acts as grid middleware to build a grid environment by providing a standard for grid services. The failure detection scheme used in the globus architecture is based on the heartbeat messages [16]. In the above-discussed approaches, the failure detector uses the heartbeat signals for detecting the failure of the resource. The heartbeat message indicates only whether the resource is alive or dead. Hence this approach is ineffective to be used for fault tolerance, as the resource may fail shortly after sending a heartbeat message. In order to build an efficient fault tolerant system, a health coefficient-based proactive fault tolerance approach is proposed to replace the existing heartbeat-based postactive approach. The proposed proactive fault tolerant model estimates the survival probability of the resource termed as the health coefficient.