Full bibliography
Timing Prediction for Dynamic Application Migration on Multi-core Embedded Systems
Resource type
Authors/contributors
- Li, Zheng (Author)
- Wu, Hao (Author)
- He, Shuibing (Author)
Title
Timing Prediction for Dynamic Application Migration on Multi-core Embedded Systems
Abstract
To accommodate execution mode change and hardware malfunction, dynamic system reconfiguration, which invokes application migration across different processing cores, needs to be supported on multi-core embedded systems. Different application migration strategies will impact system's timing behaviors in different manners, it is important to select an appropriate one such that the system's timing performance after the migration process is still acceptable. The focus of our research is to predict the system's timing change of possible migration strategies and upon which to choose the optimal one. Extensive experiments have been set up by running multiple benchmarks and experimental results validate the effectiveness of our proposed approach.
Proceedings Title
2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS)
Conference Name
2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS)
Publisher
Institute of Electrical and Electronics Engineers Inc.
Date
May 2018
Pages
159-164
Citation Key
liTimingPredictionDynamic2018
ISSN
null
Language
English
Library Catalog
IEEE Xplore
Extra
0 citations (Crossref) [2023-10-31]
Citation
Li, Z., Wu, H., & He, S. (2018). Timing Prediction for Dynamic Application Migration on Multi-core Embedded Systems. 2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS), 159–164. https://doi.org/10.1109/BDS/HPSC/IDS18.2018.00044
Link to this record