Collaborative Research: IRES Track I: Wireless Federated Fog Computing for Remote Industry 4.0 Applications

合作研究：IRES Track I：用于远程工业 4.0 应用的无线联合雾计算

• 批准号: 2246391
• 负责人: Mathieu Kourouma
• 金额: $ 14.17万
• 依托单位: Southern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2246391&HistoricalAwards=false
• 关键词: Collaborative; Research; IRES; Track; Wireless

The overarching goal of this project is to create unique training and research opportunities for U.S. students through an international research collaboration with the IMDEA Networks Institute, a world-class research institution in Madrid, Spain. The project's research plan engages students in an interdisciplinary cutting-edge research at the intersections of wireless networking, edge/fog computing, and machine learning (ML). The proposed project will enable the U.S. team to build a wireless federated fog (WFF) platform that is robust and scalable in accommodating different types of Industry 4.0 applications in remote areas where there is shortage of access to cloud resources, i.e., it offers the illusion of accessing infinite cloud-like resources. To this end, a cross-layer communications-computing framework will be developed during the project years with novel solutions for: live container migration; deep learning (DL) partitioning and approximation; and serverless workflow development and deployment. The anticipated outcomes of the project will be the following artifacts: (1) Methods for seamless migration of containerized services across autonomous fog systems; (2) Methods for latency-aware partitioning of micro-service workflows across WFF; (3) A serverless framework for declarative and reliable workflow development (workflow as a code) on WFF; (4) Methods for robust and latency-aware distributed DL inference atop uncertain WFF; (5) Methods using approximate inference for on-premises execution of sensitive DL services. This project will provide a unique opportunity for U.S. students to gain international cross-disciplinary experience at a world-class research institute. Every year, graduate and undergraduate students will be selected via a well-defined procedure to visit the Global Computing research group at IMDEA for 8 summer weeks. The project will expose the students to both analytical and practical challenges of the communication-computing systems at a reputed research institution, and train them to become a globally-engaged and cultured workforce with world-class skills. The project outcomes will be evaluated annually by a professional evaluator, and enhanced during the subsequent years.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.

该项目的总体目标是通过与西班牙马德里的世界级研究机构 IMDEA 网络研究所的国际研究合作，为美国学生创造独特的培训和研究机会。该项目的研究计划让学生参与无线网络、边缘/雾计算和机器学习 (ML) 交叉领域的跨学科前沿研究。拟议的项目将使美国团队能够构建一个强大且可扩展的无线联邦雾（WFF）平台，以适应缺乏云资源访问的偏远地区的不同类型的工业4.0应用程序，即它提供了一种错觉访问无限的类似云的资源。为此，将在项目期间开发跨层通信计算框架，并提供新颖的解决方案：实时容器迁移；深度学习 (DL) 划分和近似；无服务器工作流程开发和部署。该项目的预期成果将是以下成果：（1）跨自治雾系统无缝迁移容器化服务的方法； (2)跨WFF的微服务工作流程的延迟感知分区方法； (3) 一个用于 WFF 上声明式、可靠的工作流开发（工作流即代码）的无服务器框架； (4) 在不确定的 WFF 上进行鲁棒且延迟感知的分布式深度学习推理的方法； (5) 使用近似推理在本地执行敏感深度学习服务的方法。该项目将为美国学生提供在世界一流研究机构获得国际跨学科经验的独特机会。每年，研究生和本科生都会通过明确的程序被选拔到 IMDEA 的全球计算研究小组进行为期 8 个暑期周的访问。该项目将使学生在著名研究机构中面对通信计算系统的分析和实践挑战，并培训他们成为具有世界一流技能的全球参与和有文化的劳动力。该项目的成果将由专业评估员每年进行评估，并在随后的几年中得到加强。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。