Title | ||
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Dynamic data management for automotive ECUs with hybrid RAM-NVM memory: work-in-progress |
Abstract | ||
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Non-Volatile Memory (NVM) can be utilized to improve performance of automotive electronic systems, but frequent writings on NVM will decrease its lifetime. In this paper, we propose a Vehicle Dynamic Data Management (VDDM) scheme, which can distinguish the hot or cold data generated by vehicle Electronic Control Units (ECUs) and sensors, and manage the data to reduce the writing operations on NVM of the hybrid main memory. Experimental results show that VDDM can significantly reduce writing operations and prolong lifetime of NVM compared with other approaches.
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Year | Venue | Field |
---|---|---|
2018 | ESWEEK '18: Fourteenth Embedded Systems Week
Turin
Italy
September, 2018 | Computer science,Home automation,Real-time computing,Electronic systems,Dynamic data,Intrusion detection system,Automotive industry,Embedded system |
DocType | ISBN | Citations |
Conference | 978-1-5386-5562-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinyu Zhan | 1 | 3 | 8.15 |
Junhuan Yang | 2 | 2 | 2.38 |
Wei Jiang | 3 | 14 | 7.33 |
Yixin Li | 4 | 2 | 2.38 |