基于虚拟机自省的云监控平台

S. Laurén, V. Leppänen
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引用次数: 5

摘要

虚拟机自省(Virtual Machine Introspection, VMI)是一种新兴的技术系列,用于从虚拟机中提取数据,而无需在目标机器本身中使用主动监视探针。在基于VMI的系统中,通过分析虚拟机的状态在管理程序级别收集数据。这样做的好处是使收集更难以被恶意软件检测和阻止,因为机器中没有任何东西表明正在进行监控。在本文中,我们提出了Nitro Web,一个基于Web的虚拟机监控系统,它使用虚拟机自省来收集数据。该平台能够实时检测和可视化发生在虚拟机中的系统调用活动。本文的第二个目的是介绍我们参与开发的Nitro虚拟机内省框架。在本文中,我们将讨论如何使用Nitro框架来构建利用VMI数据的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Machine Introspection based Cloud Monitoring Platform
Virtual Machine Introspection (VMI) is an emerging family of techniques for extracting data from virtual machines without the use of active monitoring probes within the target machines themselves. In VMI based systems, the data is collected at the hypervisor-level by analyzing the state of virtual machines. This has the benefit of making collection harder to detect and block by malware as there is nothing in the machine indicating that monitoring is taking place. In this paper we present Nitro Web, a web-based monitoring system for virtual machines that uses virtual machine introspection for data collection. The platform is capable of detecting and visualizing system call activity taking place within virtual machines in real-time. The secondary purpose of this paper is to offer an introduction to Nitro virtual machine introspection framework that we have been involved in developing. In this paper, we reflect on how Nitro Framework can be used for building applications making use of VMI data.
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