ECHO - Enabling Cloud Hosted Organisations

该项目提出了一个调查使用软件的自动化部署和管理的异构资源作为公用事业资源云的基础上，以前资助的EPSRC活动。它提供自动化的多提供商云管理，并将为研究人员和研究应用程序带来经过现场测试的成熟技术，这些技术具有成本和预算设置，服务水平协议，鲁棒性和弹性等商业功能。云实用模型能否取代本地计算集群或集群组，并为大多数研究社区提供高效、可扩展和可定制的计算平台？2.实用云模型能否为研究人员带来更灵活和动态的计算基础设施，并使他们无需花费时间和金钱来支持其基础设施？该项目的重点是开发EPSRC对Zeel/i技术的投资，以管理应用程序访问和部署到云提供商-工作将集中在支持研究应用程序，而不是过去5年的重点商业应用程序。试点项目将集中在两个代表性的研究应用领域，这两个领域为云作为研究计算平台带来了截然不同的挑战，PI/co-PI专业知识可用。示例1是严重依赖于BLAS库的一套数值数学应用。该应用程序套件通常在中小型规模下运行以测试算法实现，但设计用于非常大规模的生产运行，当100 k × 100 k的矩阵大小是正常的，并且高效的BLAS实现，多核资源和快速存储对于提供令人满意的执行时间至关重要。示例2是一套支持基因分析的应用程序，依赖于几个大型应用程序数据库和一组在线远程数据库和分析服务。管理和分析商业公用事业提供商上的示例应用程序的基于云的实现-与自有和管理的基础设施相比，这些被认为提供了最多样化的云环境，并提供了明显的成本节约。这种方法还使研究人员能够获得在商业领域快速采用云计算所带来的技术和成本节约。

This project proposes an investigation into the use of software for the automated deployment and management of heterogeneous resources as utility resource clouds based on previously funded EPSRC activity. It offers automated multi-provider cloud management and will bring an establish field tested technology with commercial features such as cost and budget setting, service level agreements, robustness and resilience to researchers and research applications.The proposal focuses on answering two questions:1. Can the cloud utility model replace local compute clusters or groups of clusters and provide an efficient, extensible and customisable computation platform for the majority of the research community?2. Can the utility cloud model bring a more flexible and dynamic compute infrastructure to researchers and free them of the need to spend time and money supporting their infrastructure?The project focuses on developing the EPSRC investment in Zeel/i technology to manage application access and deployment to cloud providers-the work will focus on supporting research applications rather than the commercial applications that have been the focus for the last 5 years.The pilot project will focus on two representative research application areas that provide distinctly different challenges for cloud as a research computation platform and where PI/co-PI expertise is available. Exemplar 1 is a suite of numerical mathematical applications which relies heavily on BLAS libraries. This application suite is often run in small and medium scale to test algorithm implementation but is designed for very large scale production runs when matrix sizes of 100k by 100k are normal, and where efficient BLAS implementation, multicore resources and fast storage are essential to give satisfactory execution times. Exemplar 2 is a suite of applications to support gene analysis and relies on a several large application databases and a collection of online remote databases and analysis services.The plan of work focuses on the execution, management and analysis of cloud based implementations of the exemplar applications on commercial utility providers-these are judged to offer the most diverse cloud environments and offer distinct cost savings when compared to owned and managed infrastructures. This approach also enables researchers to access the technology and cost savings that the rapid adoption of cloud within the commercial domain is bringing.