数据中心项目管理的时间顺序转换

M. Wiboonrat, Udomsak Kaewsiri
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引用次数: 3

摘要

在所有依赖纸质工作或电子交易的组织中,数据集成的过程规划和控制标准总是不同的。由于公用设施基础设施和硬件/软件应用的实施部署在不同的时期。由于硬件故障或不兼容、软件故障或不兼容、人为错误、系统升级、系统集成功能不兼容等原因,可能导致业务中断。要理解生态系统故障和系统故障,需要从用户需求、应用设计、公用设施设计、系统配置、系统集成、系统运行、系统维护和服务质量管理等各个层面进行认识,以提高系统的可靠性和系统运行的稳健性。本研究提出了从用户需求、设计规划、实施、监控、整个系统运行和提供服务质量的整体集成系统的数据中心项目管理(DCPM)生态系统模型。通过数据处理和对数据中心专家的访谈进行了初步调查,并进行了二次文献综述。研究结果揭示了影响DCPM成功的关键因素:技术、顾问、承包商或实施者、营销策略、运营和服务团队。这些是交付项目成功的重要基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A chronological transformation of data center project management
Different standards of process planning and control of data integration is always happening in all organizations which rely on paper works or electronic transactions. Since implementation of utility facility infrastructures and hardware/software applications is deployed on a different period. It can cause of service interruptions from many reasons for example, hardware failure or incompatibility, software failure or incompatibility, human error, upgrading system, and incompatible functions of system integration. To understand of ecological system malfunctions and system failures, we need to realize on each level of user requirements, application design, utility facility design, system configurations, system integration, system operations, system maintenance, and service quality management to increase the system reliability and robust system operations. This research proposes ecosystem model of data center project management (DCPM) in terms of total integrated system from user requirements, design and planning, implementation, monitoring and controlling, throughout the system operations and delivering service quality. Primary investigations via data processing and interview with data center experts and secondary literature reviews were conducted. The result findings revealed the critical factors that affect on DCPM success e.g., technology, consultant, contractor or implementer, marketing strategy, and operation and service team. These are the vital bases for delivering the project success.
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