计算机工程2017，Vol.43Issue(12)：30-37,8.DOI:10.3969/j.issn.1000-3428.2017.12.006
考虑服务质量的并行MapReduce启发式车载云资源调度
Parallel MapReduce Heuristics On-board Cloud Resource Scheduling Considering Quality of Service
摘要
Abstract
In order to improve the reliability of on-board cloud computing resource scheduling and reduce the computation time of data processing,a parallel MapReduce heuristics on-board cloud resource scheduling algorithm with Quality of Service (QoS) perception is proposed.Based on the MapReduce parallel computing model,the On-Board Unit (OBU)-based vehicle parallel detection service framework in cloud computing environment is designed,and the relative priority factor is used to construct the on-board cloud computing scheduling model.Then the cloud resource scheduling model is optimized by using heuristic parallel optimization algorithm to reduce the computational complexity of the proposed algorithm.The simulation results in NS-3 show that the proposed algorithm can shorten the job execution time effectively and has higher reliability.关键词
服务质量/并行云计算/MapReduce模型/车载云资源/启发式调度算法Key words
Quality of Service (QoS)/parallel cloud computing/MapReduce model/on-board cloud resource/heuristic scheduling algorithm分类
信息技术与安全科学引用本文复制引用
罗小波,王超..考虑服务质量的并行MapReduce启发式车载云资源调度[J].计算机工程,2017,43(12):30-37,8.基金项目
国家自然科学基金(61272195) （61272195）
重庆市教委科学技术研究项目(KJ12057,KJ1402801). （KJ12057,KJ1402801）
