A service resource allocation method and system

Abstract

The invention discloses a service resource allocation method, comprising the following steps that: a management server counts the initial needed amount of application servers in an application cluster corresponding to a target system; the management server generates applying information according to the initial needed amount, and forwards the applying information to a cloud management platform; and the cloud management platform creates the application servers according to the applying information, and allocates the application servers to the application clusters. The invention further discloses a service resource allocation system. The method and the system provided by the invention can realize dynamic allocation of the application servers, can meet the elastic needs of the target system, make timely response to the sudden increase or decrease of users, and effectively solve the problem of pressure on the system performance caused by concurrence in peak period.

Description

technical field [0001] The present invention relates to the communication field, in particular to a method and system for allocating service resources. Background technique [0002] During the construction of a traditional network system, it is generally necessary to plan and design the system first, purchase infrastructure such as servers, storage, and networks, and software resources such as databases and middleware according to business needs, and then develop business software. Therefore, once the system is implemented, its scalability is limited by the capacity of computing, storage, and software scalability. Moreover, infrastructure resources are fixed and cannot be flexibly allocated and recycled. Resources can only be allocated according to the peak value during the design phase, resulting in waste of resources and low IT resource utilization. Constrained by the above-mentioned construction model and IT architecture, the system can only limit the number of system vi...

AI Technical Summary

Problems solved by technology

However, after development and operation, it can only run on a hardware platform with a certain configuration and cannot be changed arbitrarily.

Such an architecture design constrains the scalability of the system. As the business grows, once the system needs to be expanded or needs to temporarily respond to large-scale concurrent requirements, it is often difficult for the system to quickly provide support.

[0004] At present, most systems use static expansion technology to expand the system. This technology does not need to consider issues such as data fault tolerance, distributed metadata management, and dynamic allocation of resources, so it is relatively easy to implement.

But this also brings some problems, such as cumbersome system expansion process, low availability, difficult management and maintenance, etc. With the continuous improvement of system expansion requirements, this static application support mode can no longer adapt to business dynamics With changing demands, the utilization rate of resources also needs to be further improved

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