Multi-component self-organizing soft-connection cluster computer intelligence resource management method

Abstract

The present invention discloses a multi-component self-organizing software-connected cluster computer intelligent resource management method. The method gradually increases the component resources along with the increase of user number and gradually reduces the component resources along with the decrease of user number according to the component resources provided by the user to the dynamic demand of the resources, thus achieving the automatic start-up and the automatic shutdown of the components. Through monitoring the use of the component resources, the method achieves the dynamic scheduling of the component resources in the component cluster, carries out the fault management and safety management of the components, and monitors and maintains the reliable operation of the component resources. The present invention also carries out the partitioning treatment of system storage resources and satisfies the temporary and permanent storage requirements of different user data. The present invention can increase the utilization rate of the component resources and optimizes the resource configuration of the cluster computer, thus further decreasing the investment cost and the operating maintenance and management cost, and increasing the system reliability.

Description

technical field [0001] The invention belongs to the field of network system resource management, in particular to an intelligent resource management method for a multi-component self-organizing soft connection cluster computer. Background technique [0002] With the development of society and science and technology, computers have increasingly become an indispensable tool in people's work, study, life, communication, entertainment, etc., especially in offices, laboratories, audio-visual teaching classrooms, libraries and other places. application. But at the present stage, computers are relatively independent devices, which are composed of hosts, monitors, keyboards, mice and other hardware devices as a whole. Users also monopolize the resources of a host and its peripherals. In this case, if a key hardware device fails, even if other hardware devices can still be used, the entire computer will not work normally, which will affect the work and life of the user due to the in...

AI Technical Summary

Problems solved by technology

However, from the perspective of the overall operating efficiency of the cluster computer, the resource management of the multi-component self-organizing soft connection cluster computer still has the following deficiencies: (1) Each component in the component group cannot always be in the open state, which will cause component resources to be idle and waste, the component resources in the component group need to be scheduled, and the component resources are dynamically provided according to the user's demand for resources, that is, the component resources are gradually increased as the number of users increases, and the component resources are gradually reduced as the number of users decreases. Automatic opening and closing of components; (2) Classifying users and allocating resources according to weight is still a static allocation method, that is, the resources allocated to users are fixed. In order to achieve a high degree of sharing of component resources, it is necessary to Use the amount of resources to balance the resource occupation between users, and realize the dynamic scheduling of resources between users; (3) The storage of user data is only temporary. A storage component provides services, and the temporarily allocated storage space will also be released, so the data stored by the user cannot be stored for a long time

The above deficiencies will not only cause resource idleness and reduce resource utilization, but also affect user data storage and service reliability. Therefore, providing a comprehensive and intelligent resource management method for multi-component self-organizing soft connection cluster computers will It will optimize the resource allocation of cluster computers, further reduce costs and provide high-reliability services, and make multi-component self-organizing soft connection cluster computers more practical application value and market competitiveness

Images