基于嵌入式云计算平台的分布式实时计算框架研究

Distributed Real-Time Computing Framework based on Embedded Cloud Computing Platform

随着大数据技术和虚拟化技术的发展,基于嵌入式云平台的分布式实时计算受到广泛关注。嵌入式云平台是以嵌入式处理器的虚拟化和集群管理为基础,通过高速网络对多嵌入式处理器进行连接,形成多点计算平台。嵌入式云平台与传统的高性能计算中心相比具有实时性高、功耗小、可裁剪、稳定度高、负载均衡等特点。以嵌入式云平台为开发环境,设计并实现了完整的分布式实时计算框架,为高性能实时计算在嵌入式集群平台上的应用提供了有效解决方法。项目验证和性能测试表明该框架可以根据实际应用场景进行灵活的定制,并具有良好的实时性和扩展性。

With the development of big data technology and virtualization technology,distributed realtime computing based on embedded cloud platform receives increasingly extensive attention.The embedded cloud platform,based on the virtualization and cluster management of the embedded processor,connects multiple embedded processors via high-speed network and forms multi-point computing platform.Compared with traditional high-performance computing centers,embedded cloud platforms have high real-time performance,low power consumption,tailorability,high stability,and load balancing.With the embedded cloud platform as the development environment,a complete distributed real-time computing framework is designed and implemented,which provides an effective solution for the application of high-performance real-time computing on the embedded cluster platform.Project verification and performance testing show that the framework can be flexibly customized according to the actual application scenario,and has fairly good real-time and scalability.