II-NEW: An Experimental Infrastructure for Cross-Domain Research in Wireless Computing, Cybersecurity and Data Mining

在推动计算机科学和工程研究边界的发展中，以下这些发展尤为突出：大数据的出现成为现实，推动了对可扩展数据分析(例如数据挖掘)的需求，无线和蜂窝网络的激增，以及大规模网络物理系统的部署。每年，公司和组织都会收集和存储数PB的新数据，这促使人们需要可扩展的数据挖掘来理解已收集的数据。此外，无线和蜂窝网络的激增使移动和游牧计算的出现成为可能。这种扩散也带来了许多新的挑战。这一新的计算研究基础设施使人们能够研究认知无线电网络的跨层协议，移动设备的无线安全能量管理技术，网络物理系统的安全设计，移动设备的恶意软件检测和预防，用于监控供水基础设施的深度嵌入式系统的设计，执行可扩展时间序列分析的新工具，在关键数据挖掘问题中执行贝叶斯推理的工具，以及执行元基因组注释和比较的工具。它支持有关这些主题的本科生和研究生课程。根据该计划开发的软件和支持数据将提供给研究界，加强技术转让的努力。

Among the developments that are pushing the boundary of computer science and engineering research, these stand out: the emergence of Big Data as a reality, pushing the need for scalable data analytics (e.g., data mining), the proliferation of wireless and cellular networks, and the deployment of large scale cyber-physical systems. Every year, petabytes of new data are collected and stored by companies and organizations, prompting the need for scalable data mining to make sense of the data that has been collected. Further, the proliferation of wireless and cellular networks has enabled the advent of mobile and nomadic computing. This proliferation has also given rise to many new challenges. This new computing research infrastructure enables research into cross-layer protocols for cognitive radio networks, wireless security energy management techniques for mobile devices, designing security for cyber-physical systems, malware detection and prevention for mobile devices, design of deeply embedded systems for monitoring water distribution infrastructure, new tools to perform scalable Time Series analysis, tools to perform Bayesian inference in critical data mining problems, and to perform Metagenome annotation and comparison. It supports undergraduate and graduate courses on these topics. Software developed under this program and supporting data will be made available to the research community, strengthening efforts for technology transfer.