Abstract
The Intelligent Transportation System (ITS) becomes an important component of the smart city toward safer roads, better traffic control, and on-demand service by utilizing and processing the information collected from sensors of vehicles and road side infrastructure. In ITS, Vehicular Cloud Computing (VCC) is a novel technology balancing the requirement of complex services and the limited capability of on-board computers. However, the behaviors of the vehicles in VCC are dynamic, random, and complex. Thus, one of the key safety issues is the frequent disconnections between the vehicle and the Vehicular Cloud (VC) when this vehicle is computing for a service. More important, the connection fault will disturb seriously the normal services of VCC and impact the safety works of the transportation. In this paper, a safety resource allocation mechanism is proposed against connection fault in VCC by using a modified workflow with prediction capability. We firstly propose the probability model for the vehicle movement which satisfies the high dynamics and real-time requirements of VCC. And then we propose a Prediction-based Reliability Maximization Algorithm (PRMA) to realize the safety resource allocation for VCC. The evaluation shows that our mechanism can improve the reliability and guarantee the real-time performance of the VCC.
Highlights
Smart city has become a critical way for sustainable urban development [1], which is composed of the smart sensor networks, Internet of Things, social network, and so forth [2,3,4,5]
In order to solve the imbalance of computational capability in time and space, Vehicular Cloud Computing (VCC) is proposed on the basis of Vehicular Ad Hoc Network (VANET) in last several years [8, 9]
The aim of our schedule is to minimize the probability of service fail due to the connection fault of vehicle resources in VC and promise that all the tasks can be finished before deadline
Summary
Smart city has become a critical way for sustainable urban development [1], which is composed of the smart sensor networks, Internet of Things, social network, and so forth [2,3,4,5]. The further task sequence which depends on failure task will be interrupted, and related services in ITS will be stopped It is opposite with the initial goal of using VCC in ITS, which is making the road traffic safer. The authors established a real-time workflow fault-tolerant model for cloud computing and proposed a fault-tolerant scheduling algorithm which uses primarybackup model These schemes cannot be applied in the vehicles of the traffic system, which have portable predictability behaviors and require high real-time services. This paper proposes a safety resource allocation mechanism against connection fault in VCC by using a modified workflow with prediction capability. Based on the outputs of the connection fault probability model, the safety resource allocation algorithm is to maximize the reliability of the VCC under the constraint of the service execution deadline.
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