Resource management system for data center and operation calling method

Abstract

The invention provides a resource management for a data center and an operation calling method applied to the system. The system comprises a plurality of physical nodes and a data center resource manager, which are arranged in the data center, wherein the data center resource manager is used for managing and distributing resources on the physical nodes by units of groups, and operation of each group can operate on any physical node meeting operation operating requirements in the data center; when load is high, the plurality of groups can proportionally share resources in the data center; whenload is low, the groups with operation to be operated can proportionally apply for idle resources according to resource quota so as to send operation as much as possible; therefore, the resource utilization rate of the data center is improved. In addition, the quick capacity expansion and dynamic shrinkage of resources of multiple groups can be realized through modifying the resource quota and operation scheduling strategies of the groups; therefore, diversity and time for handling emergency, which are required by application operation scheduling, can be realized.

Description

technical field [0001] The invention belongs to the technical field of computer systems, and in particular relates to a method for improving data center resource sharing efficiency. Background technique [0002] A data center (Data Center) usually refers to a place that realizes centralized processing, storage, transmission, exchange, and management of information in a physical space, and is composed of one or more clusters located in the same computer room. A cluster is a computer system composed of many servers or workstations connected through a high-speed network, and the servers or workstations that make up the cluster are called nodes. [0003] In recent years, Internet applications have developed rapidly, showing the characteristics of many types of applications and large application scales (active users, visits, and business data volumes), which have led to a sharp increase in the scale of data centers supporting Internet applications, from hundreds to thousands Tai...

AI Technical Summary

Problems solved by technology

This method is simple and easy to implement, but there are a large number of clusters and a small scale, and the operation cannot effectively share resources across partitions, resulting in resource fragmentation; in addition, the lease-style resource sharing method lacks flexibility and immediacy, which makes the operation unable to run quickly. Capacity expansion and contraction cannot well meet the needs of current Internet applications, resulting in low resource utilization and high application costs

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