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A chronological transformation of data center project management

机译：数据中心项目管理的时间顺序转换

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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.
机译：在所有依赖纸制品或电子交易的组织中，始终存在着不同的过程计划和数据集成控制标准。由于公用设施基础设施和硬件/软件应用程序的实施部署在不同的时期。它可能由于多种原因导致服务中断，例如硬件故障或不兼容，软件故障或不兼容，人为错误，系统升级以及系统集成的不兼容功能。要了解生态系统故障和系统故障，我们需要在用户要求，应用程序设计，公用设施设计，系统配置，系统集成，系统操作，系统维护和服务质量管理的各个级别上实现，以提高系统可靠性和可靠性。强大的系统操作。这项研究从用户需求，设计和计划，实施，监视和控制，到整个系统运行以及提供服务质量的整个集成系统方面，提出了数据中心项目管理（DCPM）的生态系统模型。通过数据处理进行了初步调查，并与数据中心专家进行了访谈，并进行了二次文献综述。结果发现揭示了影响DCPM成功的关键因素，例如技术，顾问，承包商或实施者，营销策略以及运营和服务团队。这些是实现项目成功的重要基础。

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