Reasoning about Job Completion Time in Vehicular Clouds

Ryan Florin; Puya Ghazizadeh; Aida Ghazi Zadeh; Samy El-Tawab; Stephan Olariu

doi:10.1109/TITS.2016.2620434

Reasoning about Job Completion Time in Vehicular Clouds

Ryan Florin, Puya Ghazizadeh, Aida Ghazi Zadeh, Samy El-Tawab, Stephan Olariu

Computer Science

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

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.

Original language	English
Article number	7744517
Pages (from-to)	1762-1771
Number of pages	10
Journal	IEEE Transactions on Intelligent Transportation Systems
Volume	18
Issue number	7
DOIs	https://doi.org/10.1109/TITS.2016.2620434
State	Published - Jul 2017

Scopus Subject Areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Keywords

Cloud computing
datacenter
fault tolerance
job assignment
job completion time
vehicular cloud

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10.1109/TITS.2016.2620434

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abstract = "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.",

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KW - fault tolerance

KW - job assignment

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Reasoning about Job Completion Time in Vehicular Clouds

Abstract

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