应用程序管理服务分析

Ying Li, T. Li, R. Liu, Jeaha Yang, Juhnyoung Lee
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引用次数: 4

摘要

企业经常维护许多IT应用程序来支持他们的业务。应用程序管理服务(AMS)旨在通过恢复正常的应用程序服务操作和最小化负面业务影响来维持高水平的服务质量和可用性。在本文中,我们提出了AMS分析系统,以提高AMS实践的生产力和交付质量。有关IT应用程序的问题被正式称为IT事件或票据,这是衡量AMS质量的重要工具。IT事件票证分析是分析系统的一个重要组成部分,它使用统计学、排队论、数据聚类和信号处理的算法来测量工作负载可变性、资源生产力和交付性能。AMS分析系统提供了一个标准化的集成分析平台,支持AMS的交付。它建立在一个Web平台上,使用一套标准的开放堆栈软件,并通过高级分析进行增强。自最初发布以来,我们已经将AMS分析系统应用于几十个现实世界的企业用户,收到了非常积极的反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application management services analytics
Enterprises often maintain many IT applications to support their business. Application Management Services (AMS) aim to maintain high levels of service quality and availability by restoring normal application service operations and minimizing negative business impact. In this paper, we present the AMS Analytics System for improving the productivity and quality of delivery for AMS practices. Issues regarding IT applications are formally referred as IT incidents or tickets, which are an important vehicle for measuring quality of AMS. IT incident ticket analytics, an important component of of the analytics system, measures workload variability, resource productivity and delivery performance using algorithms from statistics, queuing theory, data clustering and signal processing. The AMS Analytics System provides a standardized, integrated analytics platform supporting AMS delivery. It is built on a Web platform using a set of standard open stack software, enhanced with advanced analytics. Since its initial release, we have applied the AMS Analytics System to several dozens of real-world enterprise users, receiving very positive feedback.
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