VOD (Video On Demand) application resource consumption prediction method based on virtual machine

Abstract

The invention discloses a VOD (Video On Demand) application resource consumption prediction method based on a virtual machine. The VOD application resource consumption prediction method comprises the following steps of: (1), acquiring and normalizing resource consumption parameters of a change system, and using a correlation degree analysis of a grey system theory to calculate a correlation function value of resource consumption parameters of the system, comparing the correlation function value with VOD user linkage quantity correlation size to judge a system bottleneck resource; and (2), performing a grey-generated data conversion to original bottleneck resource data and establishing a grey differential equation to acquire a bottleneck resource consumption function relationship. The VOD application resource consumption prediction method takes a random character of a VOD user accessing behavior into consideration, so that a generated real-time dynamically changed VOD application load can be analyzed on a fine-grained level, and a system resource consumption condition can be forecast; for a resource sharing virtualization scene, a dependence problem of system resource consumption, and a problem that a virtual machine monitor cannot perceive an application performance of a VOD encapsulated inside the virtual machine are solved.

Description

technical field [0001] The invention belongs to the field of multimedia recording and live broadcast, relates to the field of audio and video collection, encoding and playing, and in particular relates to a virtual machine-based VOD application resource consumption prediction method. Background technique [0002] With the development and popularization of Internet technology, VOD video-on-demand applications are experiencing the impact of large-scale concurrent access behaviors of users on service performance. The application of virtualization technology can make it have the characteristics of high utilization rate of system resources, low maintenance cost, and scalable system scale. However, the VOD video-on-demand application based on the virtual machine environment intensifies the conflict between resource allocation and application load requirements in three aspects: the randomness of user behavior, the dependence of resource consumption, and the agnosticity of the virtu...

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Problems solved by technology

The common problems of the above-mentioned three related patent inventions are: none of the methods considers the highly dynamic nature of the VOD application load, the high randomness of user request arrival, and the relatively large sampling interval of the virtual machine monitor due to the large sampling interval of the monitoring data. Therefore, it is not suitable for the prediction and analysis of VOD system resource consumption in the virtual environment

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