A metering and charging system and method for high-performance computing

CN116185580BActive Publication Date: 2026-06-23COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
COMP NETWORK INFORMATION CENT CHINESE ACADEMY OF SCI
Filing Date
2022-12-23
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

The existing metering system is not applicable to clusters other than those based on the PBS Torque scheduling system, lacks scalability, the resource usage metering data comes from task logs, has a limited application scope, and does not have user group management functions.

Method used

A metering and billing system for high-performance computing was designed. It directly obtains resource usage data from the cluster scheduling system, supports multiple scheduling systems, has user group management functions, parses job metadata to obtain resource information tables through a loosely coupled mode, and combines with the billing management module to realize detailed metering and security auditing.

Benefits of technology

It achieves scalable metering for multiple clusters, supports user group management and billing, provides detailed and comprehensive data, has auditing functions, and ensures the security and accurate metering of the metering system and clusters.

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Abstract

The embodiment of the present application discloses a kind of measurement and charging system and method for high-performance computing.The system includes, measurement statistics, billing management, basic management, cluster management and data acquisition module.In addition to the measurement resource usage statistics, resource pricing, billing function, it also supports the management of user type and user group and the pricing management of price discount according to user type;In the embodiment of the present application, the system solves the access and measurement problem of multiple clusters, can access the cluster based on multiple types of scheduling system, has very high scalability;In addition, the system provides a super-converged management architecture, which can integrate audit function modules into the measurement system as needed to fully protect the use of the measurement system and the cluster security;And resource usage data can be directly obtained from cluster scheduling system, data is more detailed and comprehensive, which is beneficial to accurately measure resource usage.
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