CSR: Small: Location, location, location (L3): Support for Geo-Centric Applications

CSR：小型：位置、位置、位置（L3）：支持以地理为中心的应用程序

• 批准号: 1619254
• 负责人: Abhishek Chandra
• 金额: $ 51.6万
• 依托单位: University of Minnesota-Twin Cities
• 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: 2016-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1619254&HistoricalAwards=false
• 关键词: CSR; Small; Location; location; L3

Recent years have seen the proliferation of a variety of sensors embedded in different environments, and the increasing availability of smart wearable devices. Together these trends have resulted in the growth of sensor data of interest to many communities across social, economic, health-care, and scientific domains. This has led to the emergence of geo-centric applications: a class of applications that can process and extract rich information from the sensor data to provide novel services to users. However, these applications currently suffer from poor performance and failures due to the limited computing and storage resources available on the devices and their location dependency. This project will develop new computing abstractions, algorithms, and systems, that enable a new frontier of geo-centric applications to be supported. The goal of this project is to catalyze the role of computer systems in meeting the needs of emerging geo-centric applications in mobile, sensor, and Internet-of-things (IoT) areas.This project will build a system called Location, location, location: Support for Geo-Centric Applications - or L3 for short. A number of novel system and application abstractions to manage the dynamism that arises from location in support of geo-centric applications will be developed. First is the concept of a Resource cloud, a system-facing abstraction that is geo-aware and manages a set of changing resources based on publish-subscribe and matchmaking. Second is the concept of a Resource container, an application-facing abstraction that provides policy-based resource selection and allocation across a diverse set of resources including storage, computation, and even data sources, to meet the specific requirements of an application. The project will address specific research problems that arise in the design and implementation of the Resource cloud and Resource container, including: on-demand resource provision to the Resource cloud, collective matching of resource requests that scale to diverse resource types and to highly shared resources, and automated resource policy generation and optimization based on application requirements.

近年来，不同环境中嵌入的各种传感器不断增加，智能可穿戴设备的可用性也不断提高。这些趋势共同导致了社会、经济、医疗保健和科学领域许多社区感兴趣的传感器数据的增长。这导致了以地理为中心的应用程序的出现：一类可以处理和从传感器数据中提取丰富信息以向用户提供新颖服务的应用程序。然而，由于设备上可用的计算和存储资源有限以及它们的位置依赖性，这些应用程序目前面临着性能不佳和故障的问题。该项目将开发新的计算抽象、算法和系统，以支持以地为中心的应用程序的新领域。该项目的目标是促进计算机系统在满足移动、传感器和物联网 (IoT) 领域新兴以地为中心的应用的需求方面发挥作用。该项目将构建一个名为“位置、位置、位置：支持以地为中心的应用”（简称 L3）的系统。将开发许多新颖的系统和应用程序抽象来管理由位置产生的动态，以支持以地为中心的应用程序。首先是资源云的概念，它是一种面向系统的抽象，具有地理感知能力，并基于发布-订阅和匹配来管理一组不断变化的资源。其次是资源容器的概念，它是一种面向应用程序的抽象，它提供基于策略的资源选择和跨各种资源（包括存储、计算甚至数据源）的分配，以满足应用程序的特定要求。该项目将解决资源云和资源容器设计和实现过程中出现的具体研究问题，包括：向资源云按需提供资源、针对不同资源类型和高度共享资源的资源请求的集体匹配、以及根据应用需求自动生成和优化资源策略。