Development of a novel Quality of Service and energy balancing control engine to reduce and measure the carbon emissions of distributed computing networks for high throughput computing.

开发新型服务质量和能量平衡控制引擎，以减少和测量高吞吐量计算的分布式计算网络的碳排放。

• 批准号: 10034722
• 金额: $ 38.16万
• 依托单位: THE WORLDWIDE COMPUTER COMPANY LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10034722
• 关键词: Development; novel; Quality; Service; energy

The Charity Engine (CE) platform (ran by Worldwide Computing Company Ltd) is a grid computing solution that harnesses surplus 'idle time' computing power to provide computing services to both enterprise and academic customers worldwide to meet the high-performance computing (HPC) needs such as scientific simulations or statistical analyses. Corporate users pay for the service, while charitable or research institutions receive the excess computing power free of charge as a charitable contribution.There is a need for a grid computing solution that reduces, measures and reports both energy requirements and subsequent carbon emissions whilst maintaining an adequate Quality of Service (QoS) to meet customer compute demands and enables corporates to fulfil CSR reporting requirements.The aim of this project is to substantially reduce the energy consumption and CO2 emissions of the CE infrastructure by allocating tasks in a manner which minimizes the amount of energy consumed per task, while meeting the QoS constraints of the end users. The benefit will be shared with the owners of the infrastructure through reduced electricity costs and CO2 impact, and with the end users through reduced CO2 impact of their operations.To achieve this aim, this project will exploit the technical advancements achieved by research at Cognitive Networks Limited which has designed and implemented several proof-of-concept Energy/QoS balancing control systems in several target testbeds.The consortium will develop a robust QoS energy/balancing engine based on Reinforcement Learning that which will be integrated into the CE distributed network, to optimally select server nodes based on real-time QoS including network delay, server response time and server energy consumption.

慈善引擎（CE）平台（由Worldwide Computing Company Ltd运行）是一种网格计算解决方案，可利用剩余的“空闲时间”计算能力，以向全球企业和学术客户提供计算服务，以满足高性能计算（HPC）的需求，例如科学模拟或统计分析。公司用户为服务付费，而慈善或研究机构则获得了过多的计算能力，作为慈善捐款。需要一种网格计算解决方案，以减少，衡量和报告能源需求和报告碳排放量以及随后的碳排放量，而随后保持适当的服务质量（QOS），以满足客户的需求，以满足客户的需求。 CE2基础架构的二氧化碳排放量通过以最小化每任务消耗的能量量的方式分配任务，同时满足最终用户的QoS限制。该收益将通过降低电力成本和二氧化碳的影响与基础设施的所有者共享，并通过减少其运营的二氧化碳影响来与最终用户分享。为了实现这一目标，该项目将利用认知网络的研究实现的技术进步有限的技术进步，该技术在量身定期的启动下设计并实施了良好的能量/QOS平衡系统的固定量，以备受启动的措施。将集成到CE分布式网络中，以基于实时QoS（包括网络延迟，服务器响应时间和服务器能量消耗）的实时QoS最佳选择服务器节点。