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Exploring Cloud Paradigm and Practices for Science and Engineering

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
负责人:
Manish Parashar
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-01 至 2017-05-31

项目摘要

项目成果

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中文摘要
翻译
云抽象和基础设施正迅速成为先进研究网络基础设施(ACI)的一部分,为科学探索和发现提供了可行的平台。因此,了解新兴的数据和计算密集型应用程序工作流如何有效地利用集成云抽象和服务的混合ACI,以及这种混合ACI如何在科学和工程中启用新范式和实践,这一点非常重要。本EAGER研究了由混合联邦ACI(包括云和HPC资源)支持的创新科学和工程应用程序公式,以及对这些新应用程序公式的编程和中间件支持。具体而言,该项目侧重于三个重点研究方向:(1)应用程序制定;(2)编程模型、抽象和系统;(3)中间件栈和管理服务,并探索两个应用程序用例——(i)基于集成卡尔曼滤波器(EnKF)的油藏建模应用程序,(ii)使用异步副本交换的分子动力学模拟。在每一个用例中,活动都探索了如何利用联合ACI中资源和服务提供的功能来优化指标,如科学研究的时间、科学研究的成本和/或科学研究的能量。云服务是NSF ACI愿景不可或缺的一部分。云也正在迅速成为科学和工程应用程序可用的ACI的一个组成部分,并提供对一系列应用程序产生重大影响的补充功能。因此,这项研究可以通过确定新的范例和实践,有效地利用混合ACI来加速科学发展,从而对不同的应用领域产生重大影响。此外,本研究的结果将为资源提供者提供有关如何最好地满足科学和工程应用需求以及当前ACI如何实现更广泛的可访问性和更高的效率和生产力的信息。人力资源的开发,包括培训学生、研究人员和软件专业人员,以及向少数民族和代表性不足的群体伸出援手,是这项努力所有方面的组成部分。
英文摘要
Clouds abstractions and infrastructure are rapidly becoming part of the advanced research cyber-infrastructure (ACI) providing viable platforms for scientific exploration and discovery. As a result, it is important to understand how emerging data and compute intensive application workflows can effectively utilize a hybrid ACI integrating Cloud abstractions and services, and how such a hybrid ACI can enable new paradigms and practices in science and engineering. This EAGER explores innovative science and engineering application formulations that are enabled by a hybrid federated ACI that includes Clouds and HPC resources, as well as programming and middleware support for these new application formulations. Specifically, the project focuses on three key research thrusts: (1) application formulation; (2) programming models, abstractions and systems; and (3) middleware stacks and management services, and explore two applications use cases -- (i) an oil reservoir modeling application based on an Ensemble Kalman Filter (EnKF), and (ii) molecular dynamics simulations using asynchronous replica exchange. In each of these use cases activities explore how the capabilities provided by resources and services in a federated ACI can be leveraged to optimize metrics such as time-to-science, cost-to-science and/or energy-to-science.Cloud services are integral to the NSF ACI vision. Clouds are also rapidly becoming an integral part of the ACI available to science and engineering applications, and provide complementary capabilities that can have a significant impact on a range of applications. As a result, this research can have a significant impact on a diverse set of application domains by identifying new paradigms and practices that can make effective use of a hybrid ACI to accelerate science. Furthermore, the results of this research will provide resource providers information about how to best meet the needs of science and engineering applications and how current ACI can achieve broader accessibility and higher efficiencies and productivity. The development of human resources, including the training of students, researchers and software professions, as well as outreach to minorities and underrepresented group, is integral to all aspects of this effort.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources
使用边缘和传输中资源对科学观测站的数据质量进行运行时管理
DOI: 10.1109/sbac-pad.2018.00053
发表时间: 2018
期刊: 2018 30th International Symposium on Computer Architecture and High Performance Computing
影响因子: --
作者: [Zamani, Ali Reza, Balouek-Thomert, Daniel, Villalobos, J. J., Rodero, Ivan, Parashar, Manish]
通讯作者: Parashar, Manish
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows
适用于数据密集型原位科学工作流程的持久数据暂存服务
DOI: 10.1145/2912152.2912157
发表时间: 2016
期刊: Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing
影响因子: --
作者: [Romanus, Melissa, Klasky, Scott, Chang, Choong-Seock, Rodero, Ivan, Zhang, Fan, Jin, Tong, Sun, Qian, Bui, Hoang, Parashar, Manish, Choi, Jong]
通讯作者: Choi, Jong
DOI: 10.1109/ccgrid.2017.92
发表时间: 2017-05
期刊: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
影响因子: --
作者: [Yunbo Li;Anne-Cécile Orgerie;I. Rodero;M. Parashar;Jean-Marc Menaud]
通讯作者: Yunbo Li;Anne-Cécile Orgerie;I. Rodero;M. Parashar;Jean-Marc Menaud
An edge-aware autonomic runtime for data streaming and in-transit processing
用于数据流和传输中处理的边缘感知自主运行时
DOI: 10.1016/j.future.2020.03.037
发表时间: 2020
期刊: Future Generation Computer Systems
影响因子: --
作者: [Zamani, Ali Reza, Balouek-Thomert, Daniel, Villalobos, J.J., Rodero, Ivan, Parashar, Manish]
通讯作者: Parashar, Manish
6
    EAGER: Exploring intelligent services for managing uncertainty under constraints across the Computing Continuum: A case study using the SAGE platform
    • 批准号:
      2238064
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2022
    • 负责人:
      Manish Parashar
    • 依托单位:
    Intergovernmental Personnel Act (IPA) with U of Utah - Manish Parashar partial 3rd year and full 4th year continuation (2021-2022)
    • 批准号:
      2112830
    • 项目类别:
      Intergovernmental Personnel Award
    • 资助金额:
      $72.29万
    • 财政年份:
      2021
    • 负责人:
      Manish Parashar
    • 依托单位:
    EAGER: Exploring Federations of Campus and National Cyberinfrastructure as Scalable Platforms for Science: A Case Study using Open Science Grid
    • 批准号:
      1441376
    • 项目类别:
      Standard Grant
    • 资助金额:
      $28.58万
    • 财政年份:
      2014
    • 负责人:
      Manish Parashar
    • 依托单位:
    II-NEW: An Experimental Platform for Investigating Energy-Performance Tradeoffs for Systems with Deep Memory Hierarchies
    • 批准号:
      1305375
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2013
    • 负责人:
      Manish Parashar
    • 依托单位:
    海外基金