摘要
在商用云计算技术发展背景下,基于计算资源虚拟化、虚拟网络技术、虚拟资源集群管理技术以及MapReduce、Spark等大数据处理框架的理论基础,提出了一种嵌入式云计算平台体系架构。该架构基于轻量级容器化的方法解决了嵌入式资源的虚拟化问题。通过内存映射核间通信中间件构建了嵌入式虚拟资源网络,并实现了一种可支持回溯的有向无环图计算模型,应用内各个算法单元之间的通信时延可低至10μs,可支持高速实时信号处理、高速实时数据分析等分布式应用的运行。
Under the background of commercial cloud computing technology development,based on the theories of computing resource virtualization,virtual network technology,virtual resource cluster management technology and MapReduce,Spark and other big data processing frameworks,this paper proposes an embedded cloud computing platform architecture.The architecture is based on a lightweight containerization method,which solves the virtualization problem of embedded resources.An embedded virtual resource network is constructed through the memory-mapped inter-core communication middleware,and a directed acyclic graph computing model that can support backtracking is realized.In the application,the communication delay between each algorithm unit can be as low as ten microseconds,which can support the operation of distributed applications such as high-speed real-time signal processing and high-speed real-time data analysis.
作者
潘灵
PAN Ling(Research Institute of Electronic Technology Southwest China,Chengdu Sichuan 610036,China)
出处
《通信技术》
2021年第5期1184-1188,共5页
Communications Technology
关键词
资源虚拟化
虚拟网络
有向无环图
实时信号处理
resource virtualization
virtual network
direct acyclic graph
real-time signal processing