EAGER: Designing the OSN Software Platform
EAGER:设计 OSN 软件平台
基本信息
- 批准号:1836357
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-11-01 至 2019-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This EAGER award will explore the software platform needed to power a radically new type of infrastructure, viz., a national-scale open storage network. The project team will work closely with the Open Storage Network (OSN) project team, located at Johns Hopkins University and the four NSF Big Data Regional Innovation Hubs, who will acquire and operate the hardware component of the OSN. The project will engage in multidisciplinary collaboration among computer scientists, software and network engineers, and application scientists, to develop and prototype the software. The goal is to learn rapidly about the key requirements placed on the software platform in preparation for the next phase of OSN, which would involve the deployment of a nationwide, production-quality storage network with hundreds of petabytes of fault tolerant, distributed storage, interconnected via high-speed networks. The focus of this project is on the design and development of the OSN software platform and corresponding programming interfaces, to ensure that they can be accessed effectively and easily by three groups of users: OSN system administrators, who are required to monitor and manage OSN operations; application developers, who develop innovative applications that build upon OSN capabilities; and researchers, educators, students, and others, who use the OSN either directly or through such applications. This grant explores and develops rapid prototypes of the software stack for nodes of the Open Storage Network (OSN), with a view to answering exploratory questions vital to the eventual success of a national-scale implementation, such as:-What are the use cases that should inform the design of a system like OSN?-What are the mechanisms that will be required to administer and manage a system like OSN?-What value-added services should be provided on top of a core OSN fabric to support application use cases?-What sustainability models can be used to expand and sustain OSN?-What are the implications of OSN use cases and workflows for OSN infrastructure at the storage system level?To provide a foundation for this exploratory, rapid prototyping effort the EAGER team will work with the OSN team to establish a functional storage testbed with software that is sufficiently robust to give users confidence and enable use in real scientific applications, which will be the test cases for this testbed. That work will involve deployment of existing software such as Ceph and Globus. However, that work is just preparatory to addressing the exploratory questions listed above, which are the focus of the proposed project. The work proposed here will prototype an initial version of the OSN Software Platform that provides an initial set of authentication, authorization, data movement, and data sharing capabilities to support OSN experimentation and validation. The project will also work towards the design and development of a more full-featured OSN Software Platform for its next version, based upon community input, and backed up by early experimental studies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该渴望的奖项将探索为一种全新类型的基础架构开动所需的软件平台,即国家规模的开放存储网络。项目团队将与位于约翰·霍普金斯大学(Johns Hopkins University)和四个NSF大数据区域创新中心的开放存储网络(OSN)项目团队紧密合作,后者将收购和操作OSN的硬件组件。该项目将在计算机科学家,软件和网络工程师以及应用程序科学家之间进行多学科的合作,以开发和原型软件。目的是快速了解软件平台上的关键要求,以准备下一阶段的OSN,这将涉及在全国生产质量的存储网络中部署具有数百个可容忍的,分布式存储的数百pb,并通过高速网络互连的。该项目的重点是OSN软件平台的设计和开发以及相应的编程界面,以确保三组用户可以有效,轻松地访问它们:OSN系统管理员,这些管理员需要监视和管理OSN操作;应用程序开发人员,他们开发以OSN功能为基础的创新应用;以及直接或通过此类应用程序使用OSN的研究人员,教育者,学生和其他人。该赠款探索并开发了针对开放存储网络(OSN)节点的软件堆栈的快速原型,以回答对最终实现国家规模实施成功至关重要的探索性问题,例如: - 应该为OSN等系统的设计提供什么用力来管理和管理osn的机制? fabric to support application use cases?-What sustainability models can be used to expand and sustain OSN?-What are the implications of OSN use cases and workflows for OSN infrastructure at the storage system level?To provide a foundation for this exploratory, rapid prototyping effort the EAGER team will work with the OSN team to establish a functional storage testbed with software that is sufficiently robust to give users confidence and enable use in real scientific applications, which will be the test cases for this测试床。这项工作将涉及部署现有软件,例如Ceph和Globus。但是,这项工作只是为解决上面列出的探索性问题做准备,这是拟议项目的重点。这里提出的工作将原型制作OSN软件平台的初始版本,该版本提供了一组初始的身份验证,授权,数据移动和数据共享功能,以支持OSN实验和验证。该项目还将致力于根据社区的投入为下一个版本的更全功能的OSN软件平台的设计和开发,并得到早期实验研究的支持。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响审查标准通过评估来进行评估的。
项目成果
期刊论文数量(0)
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Ian Foster其他文献
An optical microscopy system for 3 D dynamic imagingRandy
用于 3D 动态成像的光学显微镜系统Randy
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
R. Hudson;John N. Aarsvold;Chin;Jie Chen;Peter Davies;T. Disz;Ian Foster;Melvin Griem;Man K Kwong;B. Lin - 通讯作者:
B. Lin
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
DeepSpeed4Science 计划:通过复杂的人工智能系统技术实现大规模科学发现
- DOI:
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2023 - 期刊:
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S. Song;Bonnie Kruft;Minjia Zhang;Conglong Li;Shiyang Chen;Chengming Zhang;Masahiro Tanaka;Xiaoxia Wu;Jeff Rasley;A. A. Awan;Connor Holmes;Martin Cai;Adam Ghanem;Zhongzhu Zhou;Yuxiong He;Christopher Bishop;Max Welling;Tie;Christian Bodnar;Johannes Brandsetter;W. Bruinsma;Chan Cao;Yuan Chen;Peggy Dai;P. Garvan;Liang He;E. Heider;Pipi Hu;Peiran Jin;Fusong Ju;Yatao Li;Chang Liu;Renqian Luo;Qilong Meng;Frank Noé;Tao Qin;Janwei Zhu;Bin Shao;Yu Shi;Wen;Gregor Simm;Megan Stanley;Lixin Sun;Yue Wang;Tong Wang;Zun Wang;Lijun Wu;Yingce Xia;Leo Xia;Shufang Xie;Shuxin Zheng;Jianwei Zhu;Pete Luferenko;Divya Kumar;Jonathan Weyn;Ruixiong Zhang;Sylwester Klocek;V. Vragov;Mohammed Alquraishi;Gustaf Ahdritz;C. Floristean;Cristina Negri;R. Kotamarthi;V. Vishwanath;Arvind Ramanathan;Sam Foreman;Kyle Hippe;T. Arcomano;R. Maulik;Max Zvyagin;Alexander Brace;Bin Zhang;Cindy Orozco Bohorquez;Austin R. Clyde;B. Kale;Danilo Perez;Heng Ma;Carla M. Mann;Michael Irvin;J. G. Pauloski;Logan Ward;Valerie Hayot;M. Emani;Zhen Xie;Diangen Lin;Maulik Shukla;Thomas Gibbs;Ian Foster;James J. Davis;M. Papka;Thomas Brettin;Prasanna Balaprakash;Gina Tourassi;John P. Gounley;Heidi Hanson;T. Potok;Massimiliano Lupo Pasini;Kate Evans;Dan Lu;D. Lunga;Junqi Yin;Sajal Dash;Feiyi Wang;M. Shankar;Isaac Lyngaas;Xiao Wang;Guojing Cong;Peifeng Zhang;Ming Fan;Siyan Liu;A. Hoisie;Shinjae Yoo;Yihui Ren;William Tang;K. Felker;Alexey Svyatkovskiy;Hang Liu;Ashwin Aji;Angela Dalton;Michael Schulte;Karl Schulz;Yuntian Deng;Weili Nie;Josh Romero;Christian Dallago;Arash Vahdat;Chaowei Xiao;Anima Anandkumar;R. Stevens - 通讯作者:
R. Stevens
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
GreenFaaS:利用 FaaS 最大限度提高 HPC 工作负载的能源效率
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Alok V. Kamatar;Valerie Hayot;Y. Babuji;André Bauer;Gourav Rattihalli;Ninad Hogade;D. Milojicic;Kyle Chard;Ian Foster - 通讯作者:
Ian Foster
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
通过因果图分区进行高维结构化假设空间的因果发现
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Ashka Shah;Adela DePavia;Nathaniel Hudson;Ian Foster;Rick Stevens - 通讯作者:
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Improving Seasonal Forecasts for SWWA
改进 SWWA 的季节性预测
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
P. McIntosh;S. Asseng;O. Alves;E. Ebert;I. Farré;Ian Foster;N. Khimashia;M. Pook;J. Risbey;Dean Thomas;G. Thomas;Guomin Wang - 通讯作者:
Guomin Wang
Ian Foster的其他文献
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{{ truncateString('Ian Foster', 18)}}的其他基金
Collaborative Research: NSF Workshop on Automated, Programmable and Self Driving Labs
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- 批准号:
2335910 - 财政年份:2023
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$ 30万 - 项目类别:
Standard Grant
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框架:Garden:用于发布和应用人工智能模型进行科学、工程、教育和工业转化研究的公平框架
- 批准号:
2209892 - 财政年份:2022
- 资助金额:
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Standard Grant
Collaborative Research: OAC Core: ScaDL: New Approaches to Scaling Deep Learning for Science Applications on Supercomputers
协作研究:OAC 核心:ScaDL:在超级计算机上扩展深度学习科学应用的新方法
- 批准号:
2107511 - 财政年份:2021
- 资助金额:
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NSF Convergence Accelerator Track D: The Data Hypervisor: Orchestrating Data and Models
NSF 融合加速器轨道 D:数据管理程序:编排数据和模型
- 批准号:
2040718 - 财政年份:2020
- 资助金额:
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Collaborative Research: Frameworks: funcX: A Function Execution Service for Portability and Performance
协作研究:框架:funcX:可移植性和性能的函数执行服务
- 批准号:
2004894 - 财政年份:2020
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Virtual Data Set Services Enabling New Science at NSF Facilities
虚拟数据集服务在 NSF 设施中实现新科学
- 批准号:
1841531 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Framework: Software: HDR Globus Automate: A Distributed Research Automation Platform
框架:软件:HDR Globus Automate:分布式研究自动化平台
- 批准号:
1835890 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, and Disseminate
BD 辐条:辐条:中西部:协作:集成材料设计 (IMaD):利用、创新和传播
- 批准号:
1636950 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: CyberSEES:Type 2: Framework to Advance Climate, Economics, and Impact Investigations with Information Technology (FACE-IT)
合作研究:CyberSEES:类型 2:利用信息技术推进气候、经济和影响调查的框架 (FACE-IT)
- 批准号:
1331922 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
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Collaborative Research: Managing Cloud Usage Allocation and Accounting for the NSF Community
协作研究:管理 NSF 社区的云使用分配和核算
- 批准号:
1250555 - 财政年份:2012
- 资助金额:
$ 30万 - 项目类别:
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