CRI: II-NEW: A Big Data Professing Infrastructure for Smart Energy Systems

CRI：II-NEW：智能能源系统的大数据专业基础设施

• 批准号: 1730488
• 负责人: Xian-He Sun
• 金额: $ 40万
• 依托单位: Illinois Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730488&HistoricalAwards=false
• 关键词: CRI; II; NEW; Big; Data

Illinois Institute of Technology (IIT) has built the first-ever fully-functional campus microgrid on its Chicago Main Campus. Massive and rich data produced by this unique live laboratory are invaluable assets for the research community to enable further innovation in critical energy systems. However, data science in the energy systems faces demanding challenges, such as inadequate data processing speed, heterogeneous and error-prone data source, and strong real-time performance requirement. To enable research to address those challenges, this project will build a research infrastructure IDES (Integrated Data analytics for Energy Systems) to integrate high-performance computing power, in terms of both hardware and software, with the existing campus microgrid facility to meet the requirements of big data processing and analytics in energy systems.IDES will be the first big data research infrastructure that integrates with a functioning smart microgrid. IDES consists of network devices, an integrated computer/file server cluster for high-performance data processing and storage, as well as a software-defined networking-based microgrid communication cyber-infrastructure. The project will enable the IIT microgrid to serve as a living laboratory, not only to advance power grid technologies but also to advance the big data analytics and cyber-security technologies. The project will also establish a partnership among power system researchers, computer scientists, electric utilities, IT support organizations, and other industrial partners to build a high-performance infrastructure for big data analytics in energy systems. In addition, the project will train students with the much-needed skills in high-performance data processing, microgrid, networking and cyber-security. The team will disseminate the research outcomes of this project to the research community, students, educators, industry professionals and the public through collaboration with the DoE-funded Smart Grid Education and Workforce Training Center at IIT.

伊利诺伊理工学院 (IIT) 在其芝加哥主校区建立了有史以来第一个功能齐全的校园微电网，这个独特的实时实验室产生的大量丰富数据是研究界实现关键能源系统进一步创新的宝贵资产。然而，能源系统中的数据科学面临着严峻的挑战，例如数据处理速度不足、数据源异构且容易出错，以及强大的实时性能要求，为了使研究能够应对这些挑战，该项目将建立一个研究基础设施。 IDES（综合数据能源系统分析）将高性能计算能力（硬件和软件）与现有校园微电网设施集成，以满足能源系统大数据处理和分析的要求。IDES将成为第一个大数据研究基础设施与功能齐全的智能微电网集成的IDES由网络设备、用于高性能数据处理和存储的集成计算机/文件服务器集群以及基于软件定义的网络的微电网通信网络基础设施组成。 IIT 微电网作为一个活生生的实验室，该项目不仅可以推进电网技术，还可以推进大数据分析和网络安全技术，还将在电力系统研究人员、计算机科学家、电力公司、IT 支持组织和电力系统研究人员之间建立合作伙伴关系。此外，该项目将为学生提供高性能数据处理、微电网、网络和网络安全方面急需的技能。向研究界传播该项目的研究成果，通过与美国能源部资助的印度理工学院智能电网教育和劳动力培训中心合作，为学生、教育工作者、行业专业人士和公众提供支持。

项目成果

A hardware-in-the-loop emulation testbed for high fidelity and reproducible network experiments

用于高保真和可重现网络实验的硬件在环仿真测试平台

• DOI: 10.1109/wsc.2017.8247803
• 发表时间: 2017-12
• 期刊: 2017 Winter Simulation Conference (WSC
• 作者: Wu, Xiaoliang;Yang, Qi;Liu, Xin;Jin, Dong;Lee, Cheol Won
• 通讯作者: Lee, Cheol Won

An Intelligent, Adaptive, and Flexible Data Compression Framework

智能、自适应且灵活的数据压缩框架

• DOI: 10.1109/ccgrid.2019.00019
• 发表时间: 2019-05-14
• 期刊: 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
• 作者: H. Devarajan;Anthony Kougkas;Xian
• 通讯作者: Xian

Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation

结合仿真和仿真系统进行智能电网规划和评估

• DOI: 10.1145/3186318
• 发表时间: 2018-08-30
• 期刊: ACM Transactions on Modeling and Computer Simulation (TOMACS)
• 作者: Christopher Hannon;Jiaqi Yan;Dong Jin;Chen Chen;Jianhui Wang
• 通讯作者: Jianhui Wang

Harmonia: An Interference-Aware Dynamic I/O Scheduler for Shared Non-volatile Burst Buffers

Harmonia：用于共享非易失性突发缓冲区的干扰感知动态 I/O 调度程序

• DOI: 10.1109/cluster.2018.00046
• 发表时间: 2018-09-01
• 期刊: 2018 IEEE International Conference on Cluster Computing (CLUSTER)
• 作者: Anthony Kougkas;H. Devarajan;Xian;J. Lofstead
• 通讯作者: J. Lofstead

A Distributed Virtual Time System on Embedded Linux for Evaluating Cyber-Physical Systems

嵌入式 Linux 上用于评估信息物理系统的分布式虚拟时间系统

• DOI: 10.1145/3316480.3322895
• 发表时间: 2019-05
• 期刊: ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
• 作者: Hannon, Christopher;Yan, Jiaqi;Liu, Yuan;Jin, Dong
• 通讯作者: Jin, Dong