Reasoning About Job Completion Time in Vehicular Clouds

In order to enhance dependability and availability, it is common practice in conventional clouds to assign two servers to each job. In this paper, we investigate the effect of such a redundancy-based job assignment strategy on job completion time in vehicular clouds. We offer a heuristic analysis of...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2017-07, Vol.18 (7), p.1762-1771
Main Authors: Florin, Ryan, Ghazizadeh, Puya, Ghazi Zadeh, Aida, El-Tawab, Samy, Olariu, Stephan
Format: Article
Language:English
Subjects:
Automobiles
Cloud computing
Computational modeling
datacenter
fault tolerance
job assignment
job completion time
Predictive models
Recruitment
Servers
vehicular cloud
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Summary:In order to enhance dependability and availability, it is common practice in conventional clouds to assign two servers to each job. In this paper, we investigate the effect of such a redundancy-based job assignment strategy on job completion time in vehicular clouds. We offer a heuristic analysis of the expected job completion time under this strategy. A comprehensive set of simulations confirmed the accuracy of our analytical predictions.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2016.2620434