Data center operation and maintenance work performance evaluation system

Abstract

The invention discloses a data center operation and maintenance work performance evaluation system. The system comprises an operation and maintenance information acquisition and processing module anda performance evaluation execution module; the operation and maintenance information acquisition and processing module is used for acquiring event information, task information, problem information, change information, duty information, data asset information and the like in an operation and maintenance system and equipment state information and generating evaluation indexes; and the performance evaluation execution module is used for determining the weight of each index by using an entropy evaluation method and comprehensively quantifying the operation and maintenance work effect. According to the method, the event execution condition, the task execution condition, the problem execution condition, the system operation state and the performance evaluation related in the ITIL business process are combined with one another, the data center operation and maintenance work condition is objectively evaluated through the entropy evaluation method, an objective basis is provided for performance evaluation, the operation and maintenance work quality is improved, and software implementation is facilitated.

Description

technical field [0001] The invention relates to performance evaluation technology, in particular to a data center operation and maintenance work performance evaluation system. Background technique [0002] With the rapid development of big data technology, large-scale data centers have been established in various places to support the storage, management and service of massive data. After the establishment of data centers, operation and maintenance monitoring has become the top priority. [0003] In the traditional data center operation and maintenance business, due to the low degree of information management, it is difficult to find data information to support performance evaluation, and it is difficult to control irrational factors in the evaluation process, so it is impossible to objectively evaluate the business capability, work level and operation and maintenance of the data center quality, leading to a decline in the enthusiasm for operation and maintenance work. [0...

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Problems solved by technology

[0003] In the traditional data center operation and maintenance business, due to the low degree of information management, it is difficult to find data information to support performance evaluation, and it is difficult to control irrational factors in the evaluation process, so it is impossible to objectively evaluate the business capability, work level and operation and maintenance of the data center quality, leading to a decline in the enthusiasm for operation and maintenance

[0004] Some operation monitoring systems have been disclosed in the prior art, such as: an ITIL-based cloud data center monitoring operation and maintenance management system (application number 201710113597.4), an operation and maintenance management platform (application number 200910086018.7) provides an ITIL (Information Technology The data center operation and maintenance system design of Infrastructure Library (Information Technology Infrastructure Library) can help enterprises effectively and orderly carry out event management, problem management, configuration management, change management, and release management when conducting IT operation and maintenance management. To achieve the purpose of service support, but through the analysis of its technical details, it is found that it lacks a comprehensive and comprehensive performance evaluation method for operation and maintenance work, which is mainly reflected in the following aspects: 1) It lacks the event and task involved in the ITIL business process 1. Combination of problem implementation and performance evaluation; 2) Lack of combining data center operation and maintenance status, especially the operation status of various systems with performance evaluation; 3) Lack of methods to complete performance evaluation through information technology

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