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.

该项目提议对使用软件来自动部署和管理异构资源作为基于先前资助的 EPSRC 活动的公用事业资源云进行调查。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、稳健性和弹性等商业功能的经过现场测试的技术。该提案重点回答两个问题：1。云实用模型能否取代本地计算集群或集群组，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加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？该项目重点开发 EPSRC 对 Zeel/i 技术的投资，以管理应用程序访问和部署云提供商——工作将侧重于支持研究应用，而不是过去 5 年关注的商业应用。试点项目将重点关注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以及 PI/co-PI 专业知识可用的地方。 Exemplar 1 是一套严重依赖 BLAS 库的数值数学应用程序。该应用程序套件通常以中小型规模运行以测试算法实现，但专为超大规模生产运行而设计，此时矩阵大小为 100k x 100k 是正常的，并且高效的 BLAS 实现、多核资源和快速存储对于获得令人满意的结果至关重要。执行次数。 Exemplar 2 是一套支持基因分析的应用程序，依赖于多个大型应用程序数据库以及在线远程数据库和分析服务的集合。工作计划侧重于示例应用程序基于云的实施的执行、管理和分析对于商业公用事业提供商来说，与自有和托管的基础设施相比，这些提供商被认为提供最多样化的云环境，并显着节省成本。这种方法还使研究人员能够利用商业领域中云的快速采用所带来的技术和成本节省。