(For a full list of publications and patents see below or go to Google Scholar
In this paper, we present R-MStorm, a resilient MSP system deployed at the edge. R-MStorm improves the system survivability by (1) assigning tasks to mobile devices with higher availability to improve the availability of whole system; (2) assigning tasks of the same application components to different devices to increase the diversity of physical stream paths.
M. Chao, R. Stoleru
IEEE International Conference on Fog Computing (ICFC), 2020
In this article, we present the design and system implementation of the first Geographic Routing framework for Low Power and Lossy Networks (GROLL).
M. Won, W. Zhang, C.-an Chen, R. Stoleru
Elsevier Internet of Things - Engineering Cyber Physical Human Systems, 2019
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L. Ipsum, M. Dignissim, A. Orci
Mauris dignissim ac orci a molestie. Etiam viverra vel massa sed laoreet. Nunc dictum viverra porta. Quisque at mollis mi, ac congue urna.
L. Ipsum, M. Dignissim, A. Orci
Mauris dignissim ac orci a molestie. Etiam viverra vel massa sed laoreet. Nunc dictum viverra porta. Quisque at mollis mi, ac congue urna.
L. Ipsum, M. Dignissim, A. Orci
Mauris dignissim ac orci a molestie. Etiam viverra vel massa sed laoreet. Nunc dictum viverra porta. Quisque at mollis mi, ac congue urna.
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Stoleru, Radu
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PCT/NL20-20/050797 (2020)
R-MStorm: A Resilient Mobile Stream Processing System for Dynamic Edge Networks
M. Chao, R. Stoleru
IEEE International Conference on Fog Computing (ICFC), 2020
GROLL: Geographic Routing for Low Power and Lossy IoT Networks
M. Won, W. Zhang, C.-an Chen, R. Stoleru
Elsevier Internet of Things - Engineering Cyber Physical Human Systems, 2019
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