嵌入式云计算系统的资源实时共享方法研究
The Research on Resource Real-Time Sharing in the Embedded Cloud Computing System

针对传统远程监控系统的现场嵌入式设备资源不能实时共享以及资源的利用率低的问题,提出应用云计算技术,基于亚马逊公司的桉树(Eucalyptus)云平台,在嵌入式云计算系统中研究了一种资源实时共享的方法。采用S3C2440A微处理器构建前端节点的硬件平台,软件移植Xenomai实时核,在嵌入式Linux+Xenomai操作系统的支撑下,运用KVM/QEMU构建虚拟化测试设备,实现了设备资源实时共享。在油井深度测量现场完成了测试,结果表明该方法能够提高资源利用率,满足远程测试的实时性能要求。
Aiming at the problem that embedded device resources cannot be shared in real-time and low utilization of resources in traditional remote monitoring system. This paper proposes applying the cloud computing technology, based on Amazon's Eucalyptus cloud platform, a method for real-time sharing of resources in embedded cloud computing system is researched. S3C2440A microprocessor is used to build the hardware platform of the front-end node and the system transplant a real-time kernel Xenomai in software. Under the support of embedded Linux + Xenomai operating system, the system apply Kernel-based Virtual Machine(KVM) and QEMU to build the virtual testing equipment, achieving resources of equipments shared in real-time. It has been tested in the project of well depth measurement in the oil field, the result shows that the utilization of the resources has been improved and the system coupled with this method can meet the requirements of real-time remote testing