Collaborative Research: REU Site: BigDataX: From theory to practice in Big Data computing at eXtreme scales

该项目扩展了BigDataX计划，该计划是伊利诺伊理工学院(IIT)和芝加哥大学(UChicago)的本科生研究体验(REU)网站。BigDataX REU网站专注于极端规模大数据计算理论和实践方面的本科生研究。BigDataX包括一个由10名本科生组成的多样化小组，他们将在为期10周的时间里开展大数据领域的研究，并解决与设计、分析和实施运行时系统和存储系统相关的问题，以支持大数据应用程序。该网站旨在让极限规模计算变得更容易处理，触及高端计算和数据中心的每一个计算分支。研究进展将影响科学发现，它们将加强广泛的研究活动，使来自许多学科的宝贵科学数据能够有效地访问、处理、存储和共享。拟议的研究项目将把学生置于一场技术革命的中心，为许多现实世界的应用打开大门。PIs有一个全面且经过验证的教育计划，将本科生与博士生整合在一起，目标是逐步实现可管理的目标，旨在让学生在暑期计划中实现可发布的结果。此外，该网站的重点是从代表性不足的人群中招聘人才，该网站将提高大数据和分布式系统领域的大学教师、研究人员和从业人员的多样性。BigDataX REU网站的主要目标是促进以数据为中心的科学和技术计算观点，处于分布式系统理论和实践的交叉点。该网站包括六名导师，从理论到系统、编程语言、分布式系统、存储管理和数据科学，都有互补的专业知识。导师在指导本科生方面拥有丰富的经验，曾与100多名本科生在研究活动中合作，与本科生一起在顶级场所发表了数十篇同行评议的研讨会、会议和期刊论文。参加BigDataX计划的学生将接触到大数据应用程序、大数据集和各种分布式系统，如IIT的神秘可重构试验台、Argonne国家实验室的变色龙云和Theta超级计算机(以及即将推出的Aurora超级计算机)、NSF赞助的各种高性能计算资源和商业云。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project extends the BigDataX program, a Research Experiences for Undergraduates (REU) site at Illinois Institute of Technology (IIT) and the University of Chicago (UChicago). The BigDataX REU site focuses on undergraduate research in both the theory and practice of big data computing at extreme scales. BigDataX includes a diverse group of 10 undergraduate students per year for three years, who will conduct research over a 10-week period in the area of big data and will address problems related to the design, analysis, and implementation of run-time systems and storage systems to support big data applications. The site aims to make extreme scale computing more tractable, touching every branch of computing in high-end computing and data centers. The research advancements will impact scientific discovery, and they will strengthen a wide range of research activities enabling efficient access, processing, storage, and sharing of valuable scientific data from many disciplines. The proposed research projects will place students in the middle of a technological revolution opening doors to many real-world applications. The PIs have a comprehensive and proven educational plan integrating undergraduate students with PhD students with incremental manageable goals, aimed at allowing students to achieve publishable results within the summer program. Furthermore, with an emphasis on recruiting from underrepresented populations, the site will improve the diversity of university faculty, researchers and practitioners in big data and distributed systems.The primary objective of the BigDataX REU site is to promote a data-centric view of scientific and technical computing, at the intersection of distributed systems theory and practice. The site includes six mentors, with complementary expertise from theory to systems, programming languages, distributed systems, storage management, and data science. The mentors have extensive experience in mentoring undergraduate students, collectively having worked with over one hundred undergraduate students in research activities, publishing dozens of peer-reviewed workshop, conference, and journal papers at top venues together with undergraduate students. The students that will be part of the BigDataX program will be exposed to big data applications, large data sets, and various distributed systems such as the Mystic reconfigurable testbed at IIT, Chameleon cloud and the Theta supercomputer (and the upcoming Aurora supercomputer) at Argonne National Laboratory, various NSF-sponsored high performance computing resources, and commercial clouds.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.