NDLI: Modeling and predicting fault tolerance in Vehicular Cloud Computing

Content Provider	IEEE Xplore Digital Library
Author	Ghazizadeh, Puya Mukkamala, Ravi Fathi, Reza
Copyright Year	2015
Description	Author affiliation: Department of Computer Science, Millersville University, PA 17551, United States (Ghazizadeh, Puya) \|\| Department of Computer Science, University of Houston, TX 77204, United States (Fathi, Reza) \|\| Department of Computer Science, Old Dominion University, Norfolk, VA 23529, United States (Mukkamala, Ravi)
Abstract	Statistics show that most vehicles spend many hours per day in a parking garage, parking lot, or driveway. At the moment, the computing resources of these vehicles are untapped. Inspired by the success of conventional cloud services, a group of researchers have recently introduced the concept of a Vehicular Cloud. The defining difference between vehicular and conventional clouds lie in the distributed ownership and, consequently, the unpredictable availability of computational resources. As cars enter and leave the parking lot, new computational resources become available while others depart creating a dynamic environment where the task of efficiently assigning jobs to cars becomes very challenging. In this paper we propose a fault-tolerant job assignment strategy, based on redundancy, that mitigates the effect of resource volatility of resource availability in vehicular clouds. We offer a theoretical analysis of the mean time to failure of this strategy. A comprehensive set of simulations have confirmed the accuracy of our theoretical prediction.
Starting Page	395
Ending Page	400
File Size	264774
Page Count	6
File Format	PDF
e-ISBN	9781467373098
DOI	10.1109/CoCoNet.2015.7411216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Fault tolerance Computational modeling Fault tolerant systems Random variables Automobiles
Content Type	Text
Resource Type	Article

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