XPS: FULL: Collaborative Research: Enabling Scalable Cloud And Edge-device Integration Using Cross-layer Parallelism

XPS：完整：协作研究：使用跨层并行性实现可扩展的云和边缘设备集成

• 批准号: 1629347
• 负责人: Feng Qian
• 金额: $ 24.7万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1629347&HistoricalAwards=false
• 关键词: XPS; FULL; Collaborative; Research; Enabling

The importance of energy efficiency today is felt across all domains of computing. In particular, personal computing platforms are becoming increasingly wireless and miniaturized, but limited by trade-offs between battery lifetimes and computational requirements. Developing energy-efficient solutions is critical to the survival of the semiconductor industry. This project seeks to develop new abstractions to effectively utilize network and cloud resources to enable a scalable and energy-efficient mobile computing paradigm. The proposed hierarchical cloud computing architecture with cross-layer parallelism provides innovation for teaching networking, system, and architecture courses. It provides a platform to engage undergraduate students and community service agencies. Finally, this project is expected to have a high impact on global societies and economies.The proposed distributed system architecture leverages cross-layer parallelism to enable scalable, adaptive, and intelligent integration between edge mobile devices and clouds by intelligently partitioning and replicating computation between mobile devices and the cloud. This project redefines two classes of programming abstractions that enable seamless usage of: (1) network resources at transport layers and (2) any form of cloud resources whether local or remote. The proposed architecture strategically leverages network-level parallelism that transparently utilizes multiple network paths, in-network cloudlets that offer highly customized accelerators for offloaded computation, and remote cloud servers with more plentiful resources. These three components work in a coordinated way with awareness of the dynamic communication overhead, thereby ensuring scalability and energy efficiency of supporting both compute and network intensive distributed applications on mobile platforms.

当今所有计算领域的能源效率的重要性都感受到了。 特别是，个人计算平台变得越来越无线和微型，但受电池寿命和计算要求之间的权衡限制。开发节能解决方案对于半导体行业的生存至关重要。该项目旨在开发新的摘要，以有效利用网络和云资源来启用可扩展且节能的移动计算范式。 提出的具有跨层平行性的层次云计算体系结构为教学网络，系统和体系结构课程提供了创新。它提供了一个让本科生和社区服务机构参与的平台。最后，预计该项目将对全球社会和经济产生很大的影响。拟议的分布式系统架构利用了跨层并行性，以通过在移动设备和云之间智能地分配和复制计算来实现边缘移动设备和云之间的可扩展，适应性和智能集成。 该项目重新定义了两类的编程摘要，可实现以下方式的无缝用法：（1）运输层的网络资源以及（2）任何形式的云资源，无论是本地还是远程资源。 提出的架构从策略上利用网络级并行性，该网络级并行利用多个网络路径，网络内的Cloudlet，它们提供了高度自定义的加速器用于卸载计算，以及具有更多丰富资源的远程云服务器。这三个组件以一种协调的方式工作，并意识到了动态通信开销，从而确保了在移动平台上支持计算和网络密集分布式应用程序的可伸缩性和能源效率。