Server Modelling Capability

数据中心是所有现代互联网系统（如云、5G和视频点播）所依赖的基础设施。它们使用大量的电力-在英国，它们消耗了国家电网的3%，并且增长如此之快，据估计，到2030年，它们将消耗整个世界电力供应的9%。业界在硬件改进方面投入了大量资金，但通过软件提高效率的研究却很少。Edgetic为数据中心开发了一套软件资源管理系统，经真实的数据中心测试，可降低高达20%的功耗。要做到这一点，计算服务器的行为需要非常准确地建模-这使我们能够了解不同的服务器如何响应不同的软件负载（例如，在运行典型的工作负载时，它消耗了多少功率？它能产生多少热量？等）现有的建模存在许多问题--速度慢，在基本硬件上执行，并且没有考虑许多环境因素。该项目将创建世界上最先进的服务器建模设施。该项目涉及Edgetic设计和建造一个新的测试环境，该环境具有先进的风洞和软件可控组件（包括湿度控制，加热器，可变风扇速度等）。这是对现有设计的一个重大改变，现有设计的特点是固定风扇和加热，固定尺寸的测试外壳，这将是世界上最先进的服务器建模风洞，该项目还将开发先进的机器学习软件，用于控制风力，隧道，并分析它产生的数据。该软件将自动“平衡”风洞的组件-例如，当风扇速度改变以增加气流时，通过自动增加加热来确保测试温度保持不变。该软件还将插入测试数据-在不同测试之间自动“连接点”，并从以前的模型中学习和应用模式。这将使测试能够以比目前看到的更快的速度和准确性进行。其结果将是可以快速生产的准确，详细的服务器模型-并用于驱动资源管理软件，这将大大降低数据中心的功耗，帮助环境，同时也为企业节省大量资金。

Data centres are the infrastructure on which all modern internet systems (such as the Cloud, 5G, and video on demand) rely. They use huge amounts of power - in the UK they consume 3% of the National Grid, and are growing so quickly that it is estimated they will consume 9% of the entire world's power supply by 2030. The industry has invested heavily in hardware improvements, but there has been very little research into improving efficiency though software.Edgetic has developed a software resource management system for data centres that can reduce power consumption by up to 20%, as tested in real data centres. To do this, computing server behaviour needs to be modelled to great accuracy - this lets us understand how different servers respond to differing software loads (for example, how much power does it consume when running a typical workload? How much heat does it produce? etc) There are many problems with existing modelling - it is slow, is performed on basic hardware, and does not consider many environmental factors.This project will create the most advanced server modelling facility in the world.The project involves Edgetic designing and building a new testing environment that features an advanced wind tunnel with software-controllable components (including humidity controls, heaters, variable fan speeds, etc.). This is a step-change over existing designs - which feature fixed fans and heating, with fixed size testing enclosures - and will be the most advanced server modelling wind tunnel in the world, allowing over 100 different parameters of a server to be modelled far quicker than anything that currently exits.The project will also develop advanced machine-learning software which will be used to control the wind-tunnel and also analyse the data it produces. This software will automatically "balance" the wind tunnel's components - for example, ensuring that testing temperatures remain the same by automatically increasing heating when fan speeds change to increase air flow. The software will also interpolate testing data - automatically "joining the dots" between different tests, and learning and applying patterns from previous models.This will allow tests to be performed with greater speed and accuracy than anything currently seen. The result will be accurate, detailed server models that can be quickly produced - and used to drive resource management software that will greatly reduce data centre power consumption, helping the environment while also saving businesses substantial amounts of money.