@inproceedings{61fa7edb7a8d48469f9748ddfc163ad3,
title = "The two-stage cloud platform scheduling strategy of stress simulation analysis of electronic devices",
abstract = "The existing reliability prediction method based on the physics of failure (PoF) models calculates the time to failure of electronic devices responding to multiple mission profiles. It is necessary to calculate multiple simulation test samples, use the simulation software to do multi-stress simulations, and calculate the single point of failure and device reliability prediction according to the physical model. Because this method needs many simulation test samples and takes long simulation time, it is necessary to study how to schedule the multi-stress simulation test samples to achieve the shortest overall execution time. Therefore, this paper introduced the two-stage cloud platform scheduling strategy. In the job sorting stage, the maximum weight priority strategy is applied; in the job allocation stage, the performance-first scheduling strategy based on a genetic algorithm is applied. Finally, cloud platform scheduling test cases are used as examples to verify the feasibility of the two-phase cloud platform scheduling strategy, solving the shortest expected completion time of the overall job set.",
keywords = "Cloud computing, Genetic algorithm, Maximum weight priority strategy, Multi-stress simulations, Physics of failure, Task scheduling",
author = "Jiayue Fang and Ying Chen and Rui Kang",
note = "Publisher Copyright: {\textcopyright} ESREL2020-PSAM15 Organizers. Published by Research Publishing, Singapore.; 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 ; Conference date: 01-11-2020 Through 05-11-2020",
year = "2020",
doi = "10.3850/978-981-14-8593-0\_3644-cd",
language = "英语",
isbn = "9789811485930",
series = "Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference",
publisher = "Research Publishing, Singapore",
pages = "3225--3232",
editor = "Piero Baraldi and \{Di Maio\}, Francesco and Enrico Zio",
booktitle = "Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference",
}