ECHO - Enabling Cloud Hosted Organisations

该项目提出了一项基于EPSRC先前资助的活动，对异构资源作为公用事业资源云的自动化部署和管理软件的使用进行调查。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的成熟现场测试技术。该提案的重点是回答两个问题：1。本实用新型云计算能否取代本地计算集群或集群组，为广大研究界提供高效、可扩展、可定制的计算平台？实用云模型能否为研究人员带来更加灵活和动态的计算基础设施，并使他们不必花费时间和金钱来支持他们的基础设施？该项目的重点是发展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，这项工作将侧重于支持研究应用程序，而不是过去5年一直关注的商业应用程序。该试点项目将重点关注两个具有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和PI/co-PI专业知识提供了截然不同的挑战。Exemplar 1是一套数值数学应用程序，它严重依赖于BLAS库。该应用程序套件通常以中小型规模运行以测试算法实现，但设计用于非常大规模的生产运行，此时矩阵大小为100k × 100k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满意的执行时间至关重要。Exemplar 2是一套支持基因分析的应用程序，它依赖于几个大型应用程序数据库和一系列在线远程数据库和分析服务。工作计划的重点是在商业公用事业提供商上范例应用程序的基于云的实现的执行、管理和分析——这些应用程序被认为提供了最多样化的云环境，并且与拥有和管理的基础设施相比，提供了明显的成本节约。这种方法还使研究人员能够访问云在商业领域的快速采用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.