1、openstack VS hadoop
OpenStack主要的目的是云计算管理平台,包括 云计算(Compute)、 网络(Network)、对象存贮(Object Store)、镜像文件存储 (Image)、身份认证(Authentication)、BlockStorage 以及前端UI 。
OpenStack的每个模块都对外提供API,可以独立供云用户调用,在OpenStack内部,每个模块之间的相互调用也是用这些API.
The OpenStack project as a whole is designed to “deliver(ing) a massively scalable cloud operating system.”
而 The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. Hadoop是一个能够对大量数据进行分布式处理的软件框架,Hadoop的框架最核心的设计就是:HDFS和Map

本文探讨了IaaS中的OpenStack与大数据处理框架Hadoop的区别,OpenStack提供了云计算管理平台,而Hadoop是分布式数据处理框架。此外,文章还比较了多种虚拟机软件,如KVM、LXC、QEMU、Hyper-V等,并解析了QEMU与KVM的关系。最后,提到了Docker与OpenStack的共存及其在网络虚拟化中的应用。
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