A Tight Estimate of Job Completion Time in Vehicular Clouds

Ryan Florin; Puya Ghazizadeh; Aida Ghazi Zadeh; Ravi Mukkamala; Stephan Olariu

doi:10.1109/TCC.2018.2834352

A Tight Estimate of Job Completion Time in Vehicular Clouds

Ryan Florin, Puya Ghazizadeh, Aida Ghazi Zadeh, Ravi Mukkamala, Stephan Olariu

Computer Science

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

7 Scopus citations

Abstract

Inspired by the success of conventional cloud services and by the reality of present-day vehicles endowed with powerful on-board computers that can act as servers in a datacenter, researchers have recently introduced the concept of a vehicular cloud. Our main contribution is to offer a tight theoretical analysis of the expected job completion time in vehicular clouds characterized by short vehicular residency times, under a redundancy-based job assignment strategy. We also discuss various approximations of the expected completion time. A comprehensive set of simulations have confirmed the accuracy of our theoretical predictions.

Original language	English
Article number	8356038
Pages (from-to)	721-734
Number of pages	14
Journal	IEEE Transactions on Cloud Computing
Volume	8
Issue number	3
DOIs	https://doi.org/10.1109/TCC.2018.2834352
State	Published - Jul 1 2020

Scopus Subject Areas

Software
Information Systems
Hardware and Architecture
Computer Science Applications
Computer Networks and Communications

Keywords

Cloud computing
datacenter
fault tolerance
job completion time
vehicular cloud

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10.1109/TCC.2018.2834352

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abstract = "Inspired by the success of conventional cloud services and by the reality of present-day vehicles endowed with powerful on-board computers that can act as servers in a datacenter, researchers have recently introduced the concept of a vehicular cloud. Our main contribution is to offer a tight theoretical analysis of the expected job completion time in vehicular clouds characterized by short vehicular residency times, under a redundancy-based job assignment strategy. We also discuss various approximations of the expected completion time. A comprehensive set of simulations have confirmed the accuracy of our theoretical predictions.",

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AU - Ghazizadeh, Puya

AU - Zadeh, Aida Ghazi

AU - Mukkamala, Ravi

AU - Olariu, Stephan

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AB - Inspired by the success of conventional cloud services and by the reality of present-day vehicles endowed with powerful on-board computers that can act as servers in a datacenter, researchers have recently introduced the concept of a vehicular cloud. Our main contribution is to offer a tight theoretical analysis of the expected job completion time in vehicular clouds characterized by short vehicular residency times, under a redundancy-based job assignment strategy. We also discuss various approximations of the expected completion time. A comprehensive set of simulations have confirmed the accuracy of our theoretical predictions.

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KW - datacenter

KW - fault tolerance

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KW - vehicular cloud

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ER -

A Tight Estimate of Job Completion Time in Vehicular Clouds

Abstract

Scopus Subject Areas

Keywords

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