摘要
受到物联网数据调度多样性、数据分布多层级的差异化特征影响,异构数据源在空间与时间调度层面出现严重偏差,导致多区域数据协调困难,资源调度效率降低。为了解决时间与空间的数据协调问题,基于多区域协调调度机制,对物联网异构数据源展开调度参量配置优化:构建多区域物联网异构数据源目标函数;多区域调度目标资源函数匹配转化;多区域协调目标资源配置.数据调试测试表明,经过上述三个环节的优化,调度效果得到了明显改善,异构数据多区域调度响应与调度效率得到了明显提升,相关调度参量均达到预期效果,具有较高的推广价值.
Influenced by the diversity of data scheduling of the Internet of Things and multi-level data distribution,heterogeneous data sources have serious deviations in the level of spatial and temporal scheduling,leading to difficulties in multi-region data coordination and the reduction of resource scheduling efficiency.In order to solve the problem of time and space data coordination,the scheduling parameter configuration of the Internet of Things is optimized based on the multi-region coordination scheduling mechanism.The optimization can be divided into the following three points:(1)constructingtarget function of multi-region Internet of Things;(2)matching transformation of multi-region scheduling target resource function;(3)multi-region coordination target resource allocation;through data debugging test,through the optimization of the above three links,the multi-region scheduling response and scheduling efficiency of heterogeneous data have been significantly improved,and the relevant scheduling parameters have achieved the expected effect and have high promotion value.
作者
杨萌
YANG Meng(Huaibei Vocational and Technical College,Huaibei Anhui 235000,China)
出处
《广州航海学院学报》
2023年第2期64-69,共6页
Journal of Guangzhou Maritime University
基金
安徽省高校自然科学研究重点项目(KJ2021A1373,KJ2021A1376,KJ2020A0964)
淮北职业技术学院自然科学研究重点项目(2020-A-5)。
关键词
多区域协调
物联网
异构数据源
资源调度配置
multi-region coordination
Internet of Things
heterogeneous data source
resource scheduling and configuration