Lightweight virtual machine process tracking system and method in iaas cloud environment

Abstract

The invention discloses a system and a method for tracking the process of a lightweight virtual machine under an IaaS cloud environment. The tracking system tracks the internal process of a target virtual machine through a virtualization platform from the external part of the target virtual machine, and divides a process tracker into a process tracker rear end and a process tracker front end. Before the process tracker starts, a process information base static base of the process tracker rear end is established in advance. After the process trackers starts, a physical internal memory positioning module of the process tracker front end is started in the virtualization platform of a cloud platform to monitor the internal event of the target virtual machine, recover hardware level byte information acquired from outside into behavior and event feature in the virtual machine, quickly establish a process high-level semantic view, and capture the incidence relation between the process and the process in the virtual machine in real time. According to the system and the method, an operating system kernel does not need to be analyzed on line, so the processing efficiency is high and the system load is small; and when the monitored virtual machine is invaded, effective monitoring to the virtual machine can be maintained.

Description

technical field [0001] The invention relates to the field of IaaS cloud computing, in particular to a system and method for tracking internal processes of a lightweight virtual machine in an IaaS cloud environment. Background technique [0002] IaaS cloud computing is a new computing model and business model that uses computer infrastructure resources to provide services to users through the Internet. As a key technology supporting the IaaS cloud model, virtualization builds a cloud environment that is physically distributed in different places, logically single-presented, and functionally elastically scalable through the aggregation and redistribution of hardware such as CPU, memory, and hard disk storage. form to respond to the user's business needs. Cloud computing reduces the degree of coupling between resource users and resource entities, facilitates maintenance and management, and can reduce infrastructure operating costs. It has attracted extensive attention from aca...

AI Technical Summary

Problems solved by technology

However, this method needs to repeatedly parse the task_struct structure in the kernel of each virtual machine to obtain process information when identifying virtual machine processes, and the real-time operability is poor; and this method repeatedly parses the task_struct structure when multi-user and multi-task IaaS clients Will increase the overall load of the cloud platform

[0009] In the current existing technology, the technology of process tracking from the outside of the virtual machine can identify the running process information functionally, but it needs to analyze the kernel data structure of different operating systems in real time, so process tracking not only has a large system overhead, but also can Not very portable

If these technologies are used for virtual machine monitoring in an IaaS cloud environment, not only must thousands of virtual client instances be faced, but also different types and versions of virtual machine operating system kernel structures must be considered, and online real-time kernel analysis must be performed frequently It will become a heavy and time-consuming work, which will inevitably affect the overall operating performance of the cloud platform

Therefore, these technologies are not easy to be accepted and promoted

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