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ECHO - Enabling Cloud Hosted Organisations

ECHO - 支持云托管组织

基本信息

批准号：
EP/I03405X/1
负责人：
Alan Stewart
金额：
$ 6.13万
依托单位：
Queen's University Belfast
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2011
资助国家：
英国
起止时间：
2011 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FI03405X%2F1
关键词：
ECHO Enabling Cloud Hosted Organisations

项目摘要

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.

该项目建议根据以前资助的EPSRC活动，对使用软件作为公用事业资源云的不同资源进行自动化部署和管理进行调查。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商业特征的经现场测试的技术，如成本和预算设置、服务级别协议、健壮性和弹性。该提案集中回答了两个问题：1.云实用程序模型能否取代本地计算集群或集群组并提供高效的、为大多数研究社区提供可扩展和可定制的计算平台？2.公用事业云模式能否为研究人员带来更灵活和动态的计算基础设施，并使他们不必花费时间和金钱来支持其基础设施？该项目重点是开发EPSRC对ZEEL/I技术的投资，以管理对云提供商的应用程序访问和部署-工作重点将集中在支持研究应用程序，而不是过去5年一直关注的商业应用程序。试点项目将专注于两个具有代表性的研究应用程序领域，这两个领域为云作为研究计算平台提供了截然不同的挑战，以及PI/co-PI专业知识可用。样例1是一套严重依赖于BLAS库的数值数学应用程序。该应用程序套件通常在中小型规模中运行以测试算法实现，但设计用于100k×100k的矩阵大小正常时的超大规模生产运行，其中高效的BLAS实施、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。Example 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。工作计划侧重于在商业公用事业提供商上执行、管理和分析基于云的示例应用程序实施-与拥有和托管的基础设施相比，这些应用程序可提供最多样化的云环境，并提供显著的成本节约。此方法还使研究人员能够获得在商业领域中快速采用云所带来的技术和成本节约。