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: $ 30万
• 依托单位: Rutgers University New Brunswick
• 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
• 起止时间: 2013-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1339036&HistoricalAwards=false
• 关键词: Exploring; Cloud; Paradigm; Practices; Science

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.

云抽象和基础设施正在迅速成为高级研究网络基础设施 (ACI) 的一部分，为科学探索和发现提供可行的平台。因此，了解新兴数据和计算密集型应用程序工作流程如何有效利用集成云抽象和服务的混合 ACI，以及这种混合 ACI 如何实现科学和工程领域的新范例和实践非常重要。该 EAGER 探索了由混合联合 ACI 实现的创新科学和工程应用程序公式，其中包括云和 HPC 资源，以及对这些新应用程序公式的编程和中间件支持。具体来说，该项目重点关注三个关键研究方向：（1）应用制定； (2) 编程模型、抽象和系统； (3) 中间件堆栈和管理服务，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，以及 (ii) 使用异步副本交换的分子动力学模拟。在每个用例中，活动都探索如何利用联合 ACI 中的资源和服务提供的功能来优化指标，例如科学时间、科学成本和/或科学能源。云服务是 NSF ACI 愿景不可或缺的一部分。云也迅速成为科学和工程应用程序可用的 ACI 的一个组成部分，并提供可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可以有效利用混合 ACI 来加速科学发展的新范式和实践，对各种应用领域产生重大影响。此外，这项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的需求以及当前 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，包括对学生、研究人员和软件专业人员的培训，以及对少数群体和代表性不足群体的宣传，是这项努力的各个方面不可或缺的一部分。

项目成果

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: 2018-01
• 期刊: 2018 30th International Symposium on Computer Architecture and High Performance Computing
• 作者: Zamani, Ali Reza;Balouek;Villalobos, J. J.;Rodero, Ivan;Parashar, Manish
• 通讯作者: Parashar, Manish

Exploring the Potential of FreeBSD Virtualization in Containerized Environments

探索 FreeBSD 虚拟化在容器化环境中的潜力

• DOI: 10.1145/3147213.3149210
• 发表时间: 2017-01
• 期刊: Proceedings of the10th International Conference on Utility and Cloud Computing
• 作者: Puig, Francesc;Villalobos, J.J.;Rodero, Ivan;Parashar, Manish
• 通讯作者: Parashar, Manish

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: 2020-09
• 期刊: Future Generation Computer Systems
• 作者: Zamani, Ali Reza;Balouek;Villalobos, J.J.;Rodero, Ivan;Parashar, Manish
• 通讯作者: Parashar, Manish

Submarine: A Subscription-based Data Streaming Framework for Integrating Large Facilities and Advanced Cyberinfrastructure

Submarine：基于订阅的数据流框架，用于集成大型设施和先进的网络基础设施

• 发表时间: 2017-01
• 期刊: The Eighth International Workshop on Data-Intensive Computing in the Clouds
• 作者: Zamani, Ali Reza;AbdelBaky, Moustafa;Balouek;Villalobos, J. J.;Rodero, Ivan;Parashar, Manish
• 通讯作者: Parashar, Manish

Leveraging Renewable Energy in Edge Clouds for Data Stream Analysis in IoT

利用边缘云中的可再生能源进行物联网数据流分析

• DOI: 10.1109/ccgrid.2017.92
• 发表时间: 2017-05
• 期刊: Cloud and Grid Computing (CCGRID
• 作者: Li, Yunbo;Orgerie, Anne;Rodero, Ivan;Parashar, Manish;Menaud, Jean
• 通讯作者: Menaud, Jean