Application resource scheduling device and method based on weight

Abstract

The invention discloses an application resource scheduling device and method based on weight, and belongs to the technical field of big data application and processing. The resource scheduling deviceincludes an application request receiving module, a resource prediction module, a process acquirement module, a resource scheduling module and a recovery module; the resource prediction module is usedfor obtaining load features of an I / O application request, and calculating a read-write operation threshold value of each I / O application load; the process acquirement module is used for acquiring aread-write operation value processed by an n-th process to obtain a read-write operation value of the n-th process (n is greater than or equal to 1); the resource scheduling module is used for carrying out resource scheduling according to the read-write operation threshold values of the I / O application loads and the obtained read-write operation value of the n-th process. According to the scheduling device and method, by comparing the read-write operation threshold values of different I / O application loads and obtaining the read-write operation values processed by the processes to determine the weight and resource which need to be allocated to each process, the application load request is efficiently and reasonably handled, and the utilization rate of disk resources is increased.

Description

technical field [0001] The invention relates to a weight-based application resource scheduling device and method, and belongs to the technical field of big data application processing. Background technique [0002] Generally speaking, since the data center carries a large number of cloud computing applications, its performance not only affects the application performance and user experience, but also greatly affects the application service capability of the data center. For various applications in the data center, one of the most common applications is the access of a large number of random small files, such as e-commerce transactions, social media applications, etc. This type of application is characterized by a large number of accesses and high concurrency. Generates a lot of random I / O and mostly small file transfers. For example, most of the user pictures on Facebook and product pictures on e-commerce applications such as Taobao are small files of tens of KB. Not only ...

AI Technical Summary

Problems solved by technology

However, the virtual machines that host various applications in cloud computing data centers are generally defined by users themselves, and there is no special treatment for resource characteristics. As a result, limited disk resources cannot be fully utilized when specific applications access the data center.

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