Journal of Cloud Computing | |
Resource pooling in vehicular fog computing | |
Weidong Fang1  Shixiong Xia2  Wei Chen2  Chaogang Tang2  Qing Li3  | |
[1] Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, 201800, Shanghai, China;School of Computer Science and Technology, China University of Mining and Technology, Daxue Road, 221000, Xuzhou, China;The Hong Kong Polytechnic University, Hong Kong, China; | |
关键词: Vehicular fog computing; Resource pooling; Provision; Task scheduling; Resource allocation; | |
DOI : 10.1186/s13677-021-00233-x | |
来源: Springer | |
【 摘 要 】
Vehicular fog computing (VFC) provisions computing services at the edge of networks by fully exploiting the idle resources of vehicle loaded computer systems. Task scheduling and resource allocation revolved around VFC have gained tremendous attention recently. Currently, most of these works in VFC have focused on response time optimization or energy reduction. Computing services are provisioned in a pay-as-you-go model and vehicles as resource contributors are stimulated by the benefits obtained by leasing these resources. How to maximize their own benefits is one of big concerns but few of current works have recognized its importance in VFC. We in this paper introduce the notion of resource pooling into VFC where the computing resources of vehicles are pooled together to jointly provision computational services in a community. A genetic algorithm based strategy is proposed to solve the optimization problem for the sake of benefit maximization. Extensive experiments have been carried out to evaluate the approach and the numeric results have demonstrated that our strategy outstands other approaches with regards to the optimization objective.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO202106296002918ZK.pdf | 1764KB | download |