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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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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cited_by cdi_FETCH-LOGICAL-c265t-747bb9cc53e555f9001b2b289fbdd81ea7917022107a3ca225a2611c8937ae7e3
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creator Florin, Ryan
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description 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.
doi_str_mv 10.1109/TITS.2016.2620434
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subjects Automobiles
Cloud computing
Computational modeling
datacenter
fault tolerance
job assignment
job completion time
Predictive models
Recruitment
Servers
vehicular cloud
title Reasoning About Job Completion Time in Vehicular Clouds
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