Abstract
Vehicular cloud computing (VCC) is an emerging research area among business and academic communities due to its dynamic computing capacity, on-road assistance, infotainment services, emergency and traffic services. It can mitigate the hindrance faced in the existing infrastructure, relying on the cellular networks, using roadside units (RSUs). Moreover, the existing cellular networks cannot provide better quality services due to the influx of vehicles. In the VCC, RSUs can prefetch the content and data required by the vehicles, and provide them in terms of services when vehicles are residing within the communication range of RSUs. However, RSUs suffer from their limited communication range and data rate. Therefore, it is quite challenging for the RSUs to select suitable vehicles to provide services, such that its revenue can be maximized. In this paper, we propose a revenue-based service management (RBSM) algorithm to tackle the above-discussed challenges. RBSM is a two-phase algorithm that finds data rate zones of the vehicles and selects a suitable vehicle at each time slot to maximize the total revenue of the RSUs, the total download by the vehicles and the total number of completed requests. We assess the performance of RBSM and compare it with an existing algorithm, namely RSU resource scheduling (RRS), by considering various traffic scenarios. The comparison results show that RBSM performs 87%, 90% and 170% better than RRS in terms of total revenue, download and number of completed requests.
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Pande, S.K., Panda, S.K., Das, S. (2021). A Revenue-Based Service Management Algorithm for Vehicular Cloud Computing. In: Goswami, D., Hoang, T.A. (eds) Distributed Computing and Internet Technology. ICDCIT 2021. Lecture Notes in Computer Science(), vol 12582. Springer, Cham. https://doi.org/10.1007/978-3-030-65621-8_6
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