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

该奖项扩展了BigDataX计划，这是伊利诺伊理工学院（IIT）和芝加哥大学（U芝加哥）的本科生研究经验（REU）网站。BigDataX网站专注于极端规模的大数据计算理论和实践的本科生研究。BigDataX包括一个由10名本科生组成的多元化小组，他们将在10周内进行大数据领域的研究，以及它将如何影响运行时系统和存储系统的设计、分析和实现，以支持大数据应用程序。这项研究将使极端规模计算更容易处理，触及高端计算和中间商计算的每一个分支。这些进步将影响国家一级的科学发现和经济发展，并将加强广泛的研究活动，从而有效地获取、处理、存储和共享来自许多学科的宝贵科学数据。拟议的工作将把学生在一个技术革命，这将彻底改变计算领域的中间。该提案的主要目标是在分布式系统理论和实践的交叉点上促进以数据为中心的科学和技术计算观点。该提案包括6名导师，他们拥有从理论到系统、分布式系统、存储管理和数据科学的各种补充专业知识。导师们在指导本科生方面有着丰富的经验，他们与100多名学生共同参与了研究活动，与本科生一起在顶级场所发表了数十篇同行评审的研讨会/会议/期刊论文。BigDataX计划的学生将接触到大数据应用程序，大型数据集和各种分布式系统，如IIT的Mystic可重新配置测试平台，阿贡国家实验室的Chameleon云和Theta超级计算机，XSEDE国家网络基础设施和亚马逊网络服务云。

This award 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 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, who will conduct research over a 10 week period, in the area of big data and how it will impact the design, analysis, and implementation of run-time systems and storage systems to support big data applications. This research will make extreme scale computing more tractable, touching every branch of computing in high-end computing and datacenters. These advancements will impact scientific discovery and economic development at the national level, 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 work will place students in the middle of a technological revolution which will revolutionize the computing domain. The primary objective of this proposal is to promote a data-centric view of scientific and technical computing, at the intersection of distributed systems theory and practice. This proposal includes 6 mentors, with a variety of complementing expertise from theory to systems, distributed systems, storage management, and data science. The mentors have extensive experience in mentoring undergraduate students, collectively having worked with over one hundred students in research activities, publishing dozens peer-reviewed workshop/conference/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 Theta supercomputer at Argonne National Laboratory, the XSEDE national cyberinfrastructure, and the Amazon Web Services cloud.