Supporting real-time QoS in sensor networks faces severe challenges due to the wireless nature, limited resource, low node reliability, distributed architecture and dynamic network topology.
It allows researchers to predict the age-related failure kinetics for a system of given architecture (reliability structure) and given reliability of its components.
In this paper, we design a reliability-driven scheduling architecture that can effectively measure system reliability, based on an optimal reliability communication path search algorithm, and then we introduce reliability priority rank (RRank) to estimate the task's priority by considering reliability overheads.
The requirement expresses the desired long-term reliability while the architecture provides a short-term reliability guarantee (e.g.~failure rate for each iteration).
The requirement expresses the desired long-term reliability while the architecture provides a short-term reliability guarantee (e.g. failure rate for each iteration).
Thanks to the evaluation of criteria of cost, availability and reliability, the best architecture is determined.
This urges the need for characterizing and addressing reliability in GPGPU architecture design.
In order to verify the reliability of proposed architecture, some well-known parameters, such as specific heat coefficients, are estimated and contrasted.
An online test methodology is, therefore, required that not only verifies the reliability of FPGA architecture, but also does not degrade the performance of other, running FPGA applications.
This chapter considers system backups in terms of a set of mutually orthogonal concerns, including media selection, archiving algorithms, backup software architecture, reliability issues, and policy efficiency and optimization.
