ETCHING: Edge-To-Cloud Heterogeneous Infrastructure NetworkinG
ETCHING:边缘到云异构基础设施网络
基本信息
- 批准号:RTI-2020-00136
- 负责人:
- 金额:$ 10.93万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Research Tools and Instruments
- 财政年份:2019
- 资助国家:加拿大
- 起止时间:2019-01-01 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
ETCHING, the Edge-To-Cloud Heterogeneous Infrastructure NetworkinG test bed will enable at least three fully integrated NSERC-funded research actions on heterogeneous cloud computing, scaling in clouds, and emerging cloud computing paradigms. ******ETCHING constitutes a comprehensive experimental edge-to-cloud heterogeneous computing platform that allows the research team to experiment with low-level systems modifications, reconfigurable networking and in-cloud and on-edge FPGA- and GPU-driven acceleration, and custom cloud management extensions that are not feasible to deploy in public clouds due to the involved risks and potential interference for other tenants. “Etching” metaphorically refers to the quintessential requirement to dynamically modify and intervene at the physical level and physical layer of the computing and networking subsystems of the platform to enable the required exploration. ETCHING allows the research team to pursue their research goals under realistic conditions without needing to resort to simulations, leading to contributions that are readily transferable to production-strengths, state-of-the-art frameworks and software stacks. ******The heterogeneous infrastructure is comprised of a research cloud, acceleration devices hot-pluggable via transceivers, and edge devices. The cloud will be operated in a manner that allows the research team to dynamically update physical resources (e.g., provision them in and out, modify their capabilities, i.e., include nodes with or without acceleration), to experiment with the cloud management layer to enable experimentation on autonomous scaling algorithms, and to experiment with designing and evaluating the "serverless computing" paradigm. All these research actions require direct access to the entire hardware and software stack of a running cloud, which for operational safety and reliability reasons is not possible in public clouds or shared research computing environments.******The outcome will be novel scaling techniques to better balance scarce physical resources, offer solutions to support the efficient and isolated execution required to enable the "serverless compute" paradigm, and acceleration principles for data processing in clouds and on the edge.******The proposed infrastructure will allow the research team to conduct realistic experiments on state-of-the-art equipment and to carry out internationally competitive research made in Canada that measures up to the best in the world.**
ETCHING 是边缘到云异构基础设施网络测试床,将支持至少三项完全集成的 NSERC 资助的关于异构云计算、云扩展和新兴云计算范例的研究行动。 ******ETCHING 构成了一个全面的实验性边缘到云异构计算平台,允许研究团队尝试低级系统修改、可重构网络以及云内和边缘 FPGA 和 GPU 驱动的加速,以及由于涉及风险和对其他租户的潜在干扰而无法部署在公共云中的自定义云管理扩展。 “蚀刻”隐喻地指的是在平台的计算和网络子系统的物理层和物理层动态修改和干预的典型要求,以实现所需的探索。 ETCHING 使研究团队能够在现实条件下追求他们的研究目标,而无需诉诸模拟,从而可以轻松地将贡献转化为生产优势、最先进的框架和软件堆栈。 ******异构基础设施由研究云、可通过收发器热插拔的加速设备和边缘设备组成。云的运行方式将允许研究团队动态更新物理资源(例如,调入和调出物理资源、修改其功能,即包括有或没有加速的节点)、试验云管理层以实现自主扩展算法的试验,并试验设计和评估“无服务器计算”范式。所有这些研究行动都需要直接访问正在运行的云的整个硬件和软件堆栈,出于操作安全性和可靠性的原因,这在公共云或共享研究计算环境中是不可能的。 *****结果将是新颖的扩展技术,以更好地平衡稀缺的物理资源,提供解决方案来支持实现“无服务器计算”范例所需的高效和隔离的执行,以及云中和云端数据处理的加速原理。 ******拟议的基础设施将使研究团队能够在最先进的设备上进行现实实验,并在加拿大进行具有国际竞争力的研究,达到世界最佳水平。 **
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jacobsen, HansArno其他文献
Jacobsen, HansArno的其他文献
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{{ truncateString('Jacobsen, HansArno', 18)}}的其他基金
Learning Clouds
学习云
- 批准号:
RGPIN-2020-05819 - 财政年份:2022
- 资助金额:
$ 10.93万 - 项目类别:
Discovery Grants Program - Individual
Learning Clouds
学习云
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$ 10.93万 - 项目类别:
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Enabling a highly-scalable, cloud-based microservices architecture
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513199-2017 - 财政年份:2020
- 资助金额:
$ 10.93万 - 项目类别:
Collaborative Research and Development Grants
Learning Clouds
学习云
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RGPIN-2020-05819 - 财政年份:2020
- 资助金额:
$ 10.93万 - 项目类别:
Discovery Grants Program - Individual
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2019
- 资助金额:
$ 10.93万 - 项目类别:
Discovery Grants Program - Individual
Enabling a highly-scalable, cloud-based microservices architecture
实现高度可扩展、基于云的微服务架构
- 批准号:
513199-2017 - 财政年份:2019
- 资助金额:
$ 10.93万 - 项目类别:
Collaborative Research and Development Grants
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2018
- 资助金额:
$ 10.93万 - 项目类别:
Discovery Grants Program - Individual
Enabling a highly-scalable, cloud-based microservices architecture
实现高度可扩展、基于云的微服务架构
- 批准号:
513199-2017 - 财政年份:2018
- 资助金额:
$ 10.93万 - 项目类别:
Collaborative Research and Development Grants
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2017
- 资助金额:
$ 10.93万 - 项目类别:
Discovery Grants Program - Individual
Accelerating Data Analytics Through Emerging Software-Hardware Mechanisms
通过新兴软硬件机制加速数据分析
- 批准号:
RGPIN-2015-04358 - 财政年份:2016
- 资助金额:
$ 10.93万 - 项目类别:
Discovery Grants Program - Individual
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