Enabling Cloud Computing for Seamless Research Computation

启用云计算以实现无缝研究计算

基本信息

  • 批准号:
    RGPIN-2014-05622
  • 负责人:
  • 金额:
    $ 1.09万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2014
  • 资助国家:
    加拿大
  • 起止时间:
    2014-01-01 至 2015-12-31
  • 项目状态:
    已结题

项目摘要

The provision of computing resources to researchers using a cloud computing delivery model can lower costs and reduce barriers for researchers, while increasing utilization and uptake for infrastructure providers. However, this model of access to infrastructure still requires technical expertise, custom software development or re-engineering, and often the need to work remotely in an unfamiliar environment. This proposal seeks to instead treat the cloud as a natural extension of a researcher’s preferred computing device, with no specialized knowledge required. This is the next step in the evolution of cloud resources. Researchers of all disciplines and backgrounds have long used computing resources to support and augment their research. The broad umbrella of “cloud computing” as an emerging mechanism for resource delivery has shifted how researchers acquire and utilize computing resources. Of particular interest is on-demand, service-driven access to computing infrastructure (infrastructure-as-a-service, IaaS). In lieu of acquiring physical machines, a researcher is granted temporary access to virtual or physical resources, using only what they need, and (if applicable) paying only for what they use. For those with sporadic but intensive computation needs, this approach reduces costs. In addition to various public cloud providers (Amazon, IBM), institutions and coalitions with a long history of providing high-performance computing are making their resources available in a similar model. Despite the advantages of IaaS for research, making use of these resources still requires technical expertise (through training, hiring, or outsourcing) which imposes barriers of time and cost. For example, research software might be re-engineered to work in batch mode with checkpoints, or Matlab jobs might be ported to Matlab Distributed Computing, or an analysis task re-written to use the Map-Reduce paradigm. This proposal seeks to enable the cloud as a seamless extension of a personal device and workspace. For example, a researcher might proceed as normal using their preferred software packages, until a longer computation begins. This task would be pushed to remote resources for execution, then pulled back to the local machine some time after completing. To achieve this goal, this project will a) Understand current research workflows systematically, using observation, instrumentation, and interviews. The objective is to understand how researchers currently use computation resources and how that process meets their expectations. b) Advance the state of the art in moving tasks from one physical machine to another, drawing on virtual machine migration, process migration, and machine cloning. c) Create a workflow augmented with usable technology to enable researchers to push work to the cloud. d) Extract from this implementation and detailed analysis the requirements and design for a similar approach to general users. These objectives will advance the state-of-the-art in cloud-style access to computing resources, addressing usability concerns. The described approach moves beyond task-specific software offered as a service, allowing researchers to use their preferred software, without the latency impact of remote desktop solutions. Reducing barriers to using computation to extend and enhance research will also have a broader impact on other disciplines.
使用云计算交付模式向研究人员提供计算资源可以降低成本并减少研究人员的障碍,同时提高基础设施提供商的利用率和吸收率。然而,这种利用基础设施的模式仍然需要技术专长、定制软件开发或重新设计,而且往往需要在不熟悉的环境中远程工作。该提案旨在将云视为研究人员首选计算设备的自然扩展,不需要专业知识。这是云资源发展的下一步。所有学科和背景的研究人员长期以来一直使用计算资源来支持和增强他们的研究。云计算作为一种新兴的资源交付机制,已经改变了研究人员获取和利用计算资源的方式。特别令人感兴趣的是按需、服务驱动的对计算基础设施的访问(基础设施即服务,IaaS)。研究人员可以暂时访问虚拟或物理资源,只使用他们需要的资源,并且(如果适用)只为他们使用的资源付费,而不是购买物理机器。对于那些零星但密集的计算需求,这种方法降低了成本。除了各种公共云提供商(亚马逊、IBM)之外,在提供高性能计算方面有着悠久历史的机构和联盟也在以类似的模式提供资源。尽管IaaS在研究方面具有优势,但利用这些资源仍然需要技术专业知识(通过培训,招聘或外包),这带来了时间和成本的障碍。例如,研究软件可能被重新设计为在带有检查点的批处理模式下工作,或者Matlab作业可能被移植到Matlab分布式计算,或者重新编写分析任务以使用Map-Reduce范式。该提案旨在使云成为个人设备和工作空间的无缝扩展。例如,研究人员可以使用他们喜欢的软件包正常进行,直到开始更长的计算。这个任务将被推送到远程资源执行,然后在完成后一段时间拉回到本地机器。为了实现这一目标,该项目将a)使用观察、仪器和访谈,系统地了解当前的研究工作流程。目的是了解研究人员目前如何使用计算资源,以及该过程如何满足他们的期望。B)利用虚拟机迁移、进程迁移和机器克隆,推进将任务从一台物理机迁移到另一台物理机的最新技术水平。c)创建一个使用可用技术增强的工作流程,使研究人员能够将工作推到云端。d)从该实现中提取并详细分析了一般用户类似方法的需求和设计。这些目标将推动云式计算资源访问的最新发展,解决可用性问题。所描述的方法超越了作为服务提供的特定于任务的软件,允许研究人员使用他们喜欢的软件,而不会受到远程桌面解决方案的延迟影响。减少使用计算来扩展和加强研究的障碍也将对其他学科产生更广泛的影响。

项目成果

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Smit, Mike其他文献

The Impact of Restrictive Family Presence Policies in Response to COVID-19 on Family Integrated Care in the NICU: A Qualitative Study.
  • DOI:
    10.1177/19375867211065178
  • 发表时间:
    2022-04
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    McCulloch, Holly;Campbell-Yeo, Marsha;Richardson, Brianna;Dol, Justine;Hundert, Amos;Dorling, Jon;Whitehead, Leah;MacRae, Gail;Bishop, Tanya;Afifi, Jehier;Earle, Rebecca;Rose, Annette Elliott;Foye, Sarah;Inglis, Darlene;Kim, Theresa;Leighton, Carye;Melanson, Andrea;Simpson, David C.;Smit, Mike
  • 通讯作者:
    Smit, Mike

Smit, Mike的其他文献

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{{ truncateString('Smit, Mike', 18)}}的其他基金

Assessing the Quality of Research Data Infrastructure Software
评估研究数据基础设施软件的质量
  • 批准号:
    RGPIN-2021-04333
  • 财政年份:
    2022
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Assessing the Quality of Research Data Infrastructure Software
评估研究数据基础设施软件的质量
  • 批准号:
    RGPIN-2021-04333
  • 财政年份:
    2021
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Enabling Cloud Computing for Seamless Research Computation
启用云计算以实现无缝研究计算
  • 批准号:
    RGPIN-2014-05622
  • 财政年份:
    2019
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Enabling Cloud Computing for Seamless Research Computation
启用云计算以实现无缝研究计算
  • 批准号:
    RGPIN-2014-05622
  • 财政年份:
    2018
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Enabling Cloud Computing for Seamless Research Computation
启用云计算以实现无缝研究计算
  • 批准号:
    RGPIN-2014-05622
  • 财政年份:
    2017
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Enabling Cloud Computing for Seamless Research Computation
启用云计算以实现无缝研究计算
  • 批准号:
    RGPIN-2014-05622
  • 财政年份:
    2016
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual
Enabling Cloud Computing for Seamless Research Computation
启用云计算以实现无缝研究计算
  • 批准号:
    RGPIN-2014-05622
  • 财政年份:
    2015
  • 资助金额:
    $ 1.09万
  • 项目类别:
    Discovery Grants Program - Individual

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