Data centres in contemporary times are essential as the supply of data increases. Data centres are areas where computing systems are concentrated for facilitating data processing, transfer and storage. At present traditional data centres have moved more towards the cloud model thereby making the processing, storage and harnessing of data more manageable and more accessible via the utility and subscription-based model of computing services. From the administrative point of view, cloud data centres are complex systems, hard to grasp and require large amounts of time to analyse different aspects of the cloud data centre such as maintenance and resource management. For a cloud data centre admin, this could be a challenging problem and a highly time-consuming task. Accordingly, there is a need to improve the useability of cloud data centre monitoring and management tools, and the digital twin could fulfil this need. This paper's primary objective is to construct a digital twin - a 3D visualisation and monitoring tool - of a cloud data centre managed by OpenStack, the well-known open-source cloud computing infrastructure software. To evaluate our proposed tool, we garner feedback on the digital twin's useability compared to the OpenStack dashboard. The input will be received from cloud data centres experts as they test the digital twin and answer various questions in an interview. The study results show that our proposed Digital Twin will help data centre admins better monitor and manage their data centres. It also will facilitate further research and implementation of the digital twin of data centres to improve usability.
翻译:随着数据供应的增加,当代数据中心至关重要。数据中心是计算系统集中用于促进数据处理、转让和储存的关键领域。目前,传统数据中心更倾向于云型模式,从而使数据的处理、储存和利用更加易于管理,通过基于用户的通用计算服务模式更容易获得数据。从行政角度看,云数据中心是复杂的系统,难以掌握,而且需要大量时间来分析云数据中心的不同方面,如维护和资源管理。对于云数据中心而言,这可能是一个具有挑战性的问题,而且是一项耗时很高的任务。因此,需要改进云数据中心监测和管理工具的可使用性,数字双胞胎可以满足这一需要。本文的首要目标是建立一个数字双胞胎(3D可视化和监测工具),由OpenStack管理的云数据中心管理,这是众所周知的开放源云计算基础设施软件。为了评估我们拟议的工具,我们从数字双胞胎数据中心获得关于数字双胞胎可使用性的反馈意见的反馈,并将从云型数据中心获得更好的数据访问结果,并将在双胞基数据中心中显示双胞式数据测试结果。我们提出的投入将更好地管理双胞数据中心,并将在双胞数据中心中进行双胞式数据分析。