EAGER: Exploring Federations of Campus and National Cyberinfrastructure as Scalable Platforms for Science: A Case Study using Open Science Grid
EAGER:探索校园联盟和国家网络基础设施作为可扩展的科学平台:使用开放科学网格的案例研究
基本信息
- 批准号:1441376
- 负责人:
- 金额:$ 28.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-10-01 至 2017-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Advanced computing and data cyberinfrastructure (ACI) is playing an increasingly important role in all areas of computational and data-enabled science and engineering (CDS&E), and has become a key enabler of scientific insights and innovation. As a result, it is critical that researchers and students have access to adequate campus ACI (e.g., computing and data resources). However, it is also critical that such a campus ACI aligns and is integrated with national initiatives, to connect with and share advanced computing/data resources and expertise, enable collaborative and end-to-end science, and build upon and leverage existing federal investments in high end infrastructure. This EAGER focus on three main thrusts: (1) develop the expertise and experience at Rutgers for establishing a campus ACI for CDS&E research, and to align it with the national ACI by integrating this campus ACI as part of a national resource, i.e., Open Science Grid (OSG); (2) develop the necessary research partnerships based on the OSG federated ACI to address important research problems in an end-to-end manner and lead to significant insights; and (3) document processes, experiences, and lesson learnt during this process to share these findings with the broader community, providing a "cook- book".Establishing campus ACI ecosystems is a common practice that Universities follow in order to support their research and education missions. However, these campus ACI ecosystems typically operate in isolation, restricting the access to resources and therefore the potential impact that they can offer to the community beyond their own campuses. The outcomes of this research will provide important insights into the feasibility of leveraging national investments to create resource pools where the whole is greater than the sum of its parts. As a result, it can have significant impact on the mindset of faculty, campus IT, and administrators, and on the overall ability of campus IT groups to support the advanced computing needs of researchers. The resulting models for collaboration will be seeded through shared ACI to incentivize resource and expertise sharing that can enable faculty and students to leverage a much larger and more robust set of resources. It will also help foster the creation of necessary support teams to support science and scholarship.
先进计算和数据网络基础设施(ACI)在计算和数据支持的科学与工程(CDS E)的所有领域中发挥着越来越重要的作用,并已成为科学见解和创新的关键推动因素。因此,至关重要的是,研究人员和学生能够获得足够的校园ACI(例如,计算和数据资源)。然而,同样至关重要的是,这样的校园ACI与国家计划保持一致并与之集成,以连接并共享先进的计算/数据资源和专业知识,实现协作和端到端科学,并建立和利用高端基础设施中的现有联邦投资。EAGER专注于三个主要目标:(1)发展罗格斯大学的专业知识和经验,为CDS E研究建立校园ACI,并通过将校园ACI整合为国家资源的一部分,使其与国家ACI保持一致,即,开放科学网格(OSG);(2)基于OSG联邦ACI建立必要的研究伙伴关系,以端到端的方式解决重要的研究问题,并产生重要的见解;以及(3)记录在此过程中的过程、经验和教训,以便与更广泛的社区分享这些发现,提供“烹饪书”。2建立校园ACI生态系统是大学为了支持其研究和教育任务而遵循的常见做法。然而,这些校园ACI生态系统通常是孤立运作的,限制了对资源的访问,因此限制了它们可以为自己校园以外的社区提供的潜在影响。这项研究的结果将为利用国家投资建立资源池的可行性提供重要的见解,使其整体大于部分之和。因此,它可以对教师,校园IT和管理员的心态,并对校园IT组的整体能力,以支持研究人员的高级计算需求产生重大影响。由此产生的协作模型将通过共享ACI进行播种,以激励资源和专业知识共享,使教师和学生能够利用更大,更强大的资源集。它还将有助于促进建立必要的支持团队,以支持科学和奖学金。
项目成果
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Manish Parashar其他文献
Event-Driven FaaS Workflows for Enabling IoT Data Processing at the Cloud Edge Continuum
用于在云边缘连续体实现物联网数据处理的事件驱动的 FaaS 工作流程
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Christian Sicari;Daniel Balouek;Manish Parashar;Massimo Villari - 通讯作者:
Massimo Villari
Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis
- DOI:
10.1016/j.jpdc.2019.05.013 - 发表时间:
2019-10-01 - 期刊:
- 影响因子:
- 作者:
Edward Chuah;Arshad Jhumka;Samantha Alt;Daniel Balouek-Thomert;James C. Browne;Manish Parashar - 通讯作者:
Manish Parashar
Guest Editorial on Challenges of Large Applications in Distributed Environments (CLADE)
- DOI:
10.1007/s10586-005-4091-5 - 发表时间:
2005-10-01 - 期刊:
- 影响因子:4.100
- 作者:
Ray Bair;Ioana Banicescu;Manish Parashar - 通讯作者:
Manish Parashar
In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows
- DOI:
10.1007/s10586-014-0396-6 - 发表时间:
2014-08-22 - 期刊:
- 影响因子:4.100
- 作者:
Solomon Lasluisa;Fan Zhang;Tong Jin;Ivan Rodero;Hoang Bui;Manish Parashar - 通讯作者:
Manish Parashar
Computing Everywhere, All at Once: Harnessing the Computing Continuum for Science
一次性计算无处不在:利用计算连续体促进科学发展
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Manish Parashar - 通讯作者:
Manish Parashar
Manish Parashar的其他文献
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{{ truncateString('Manish Parashar', 18)}}的其他基金
EAGER: Exploring intelligent services for managing uncertainty under constraints across the Computing Continuum: A case study using the SAGE platform
EAGER:探索在整个计算连续体的约束下管理不确定性的智能服务:使用 SAGE 平台的案例研究
- 批准号:
2238064 - 财政年份:2022
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
Intergovernmental Personnel Act (IPA) with U of Utah - Manish Parashar partial 3rd year and full 4th year continuation (2021-2022)
与犹他大学的政府间人事法 (IPA) - Manish Parashar 部分第三年和完整第四年延续(2021-2022)
- 批准号:
2112830 - 财政年份:2021
- 资助金额:
$ 28.58万 - 项目类别:
Intergovernmental Personnel Award
II-NEW: An Experimental Platform for Investigating Energy-Performance Tradeoffs for Systems with Deep Memory Hierarchies
II-新:用于研究具有深度内存层次结构的系统的能源性能权衡的实验平台
- 批准号:
1305375 - 财政年份:2013
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
Scalable Data Coupling Abstraction for Data-Intensive Simulation Workflows
数据密集型仿真工作流程的可扩展数据耦合抽象
- 批准号:
1310283 - 财政年份:2013
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
Exploring Cloud Paradigm and Practices for Science and Engineering
探索科学与工程的云范式和实践
- 批准号:
1339036 - 财政年份:2013
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
Collaborative Research: Software Infrastructure for Accelerating Grand Challenge Science with Future Computing Platforms
协作研究:利用未来计算平台加速重大挑战科学的软件基础设施
- 批准号:
1216696 - 财政年份:2012
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
Collaborative Research: Error Estimation, Data Assimilation and Uncertainty Quantification for Multiphysics and Multiscale Processes in Geological Media
合作研究:地质介质中多物理场和多尺度过程的误差估计、数据同化和不确定性量化
- 批准号:
1228203 - 财政年份:2012
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
US/India Workshop on Virtual Institutes for Computational and Data-Enabled Science & Engineering
美国/印度计算和数据科学虚拟研究所研讨会
- 批准号:
1210266 - 财政年份:2012
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
CDI-Type II: Collaborative Research: Computational Models for Evaluating Long Term CO2 Storage in Saline Aquifers
CDI-Type II:合作研究:评估咸水层长期二氧化碳封存的计算模型
- 批准号:
0835436 - 财政年份:2008
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
Sensor Systems Technologies for Data-Driven Dynamic Scientific Applications
用于数据驱动的动态科学应用的传感器系统技术
- 批准号:
0723594 - 财政年份:2007
- 资助金额:
$ 28.58万 - 项目类别:
Standard Grant
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