检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:邓勇琛 胡忠波 王素贞[1] DENG Yong-chen;HU Zhong-bo;WANG Su-zhen(School of Information Technology,Hebei University of Economics and Business,Shijiazhuang Hebei 050061,China)
机构地区:[1]河北经贸大学信息技术学院,河北石家庄050061
出 处:《河北省科学院学报》2022年第4期1-7,共7页Journal of The Hebei Academy of Sciences
摘 要:边缘计算作为一种新兴的计算模式,能够有效解决终端设备不具有计算能力或处理计算密集型与时延敏感型应用能力不足的问题。任务调度是边缘计算研究的关键技术之一,合理的任务调度策略可以有效提高边缘节点性能,提高资源利用率和降低能耗。本文围绕边缘计算环境下的任务调度技术,首先介绍了边缘计算三层系统架构、任务调度概念及流程,其次分析了基于不同目标优化的任务调度策略及各自优缺点,最后针对边缘计算的发展做出了总结与展望。Edge computing,as an emerging computing model,can effectively solve the problem that the end device does not have the ability or insufficient ability to handle compute-intensive or latency-sensitive applications.Task scheduling is one of the key technologies in edge computing research and a reasonable task scheduling strategy can effectively improve the performance of edge nodes and resource utilization,and reduce the energy consumption.Firstly,the three-tier system architecture,the concept and process of task scheduling of edge computing are introduced.Secondly,the task scheduling strategies based on different objective optimization and their advantages and disadvantages are analyzed.Finally,the summary and prospect of edge computing's development are given.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222