CSR-EHS: A Space and Resource Aware Computing Architecture

CSR-EHS：空间和资源感知计算架构

• 批准号: 0614949
• 负责人: Margaret Martonosi
• 金额: $ 47万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2011-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0614949&HistoricalAwards=false
• 关键词: CSR; EHS; Space; Resource; Aware

Increasingly, computing trends are leading to a new class of distributed and highly-dynamic applications in which spatial-awareness plays a central role. Spatially-aware applications rely on absolute or relative information about the geographic position of compute devices in order to support novel functionality. While many spatial application drivers already exist in mobile and distributed computing, very little support exists for programming these applications, expressing their spatial and temporal constraints, and supporting optimization layers for efficient implementation on real-world, highly-dynamic platforms. This research addresses these shortcomings by providing language- and system-layer support for expressing and optimizing spatial applications. Since spatial computing is inherently distributed, close attention is given to resource sharing and management within and across programs. The project's SARANA system architecture includes (i) a programming language that allows users to express the spatial region of interest and the quality of result required, (ii) a compiler that can optimize the program so it uses resources more efficiently, and (iii) a runtime system that dynamically installs and migrates the program onto physical nodes whose resource availability match its resource needs. A resource cost model permeates all the system layers of SARANA, permitting users to express their resource needs and quality of result requirements in terms of cost-benefit tradeoffs. . The runtime system prices resources and services, in order to broker agreements regarding resource needs and availability. SARANA's driving applications include an early warning system to find abducted children (Amber Alert), an earthquake monitoring system, and multi-user gaming networks.

越来越多的计算趋势导致了一类新的分布式和高度动态应用，其中空间意识起着核心作用。空间意识的应用程序依赖于有关计算设备地理位置的绝对或相对信息，以支持新功能。 尽管许多空间应用程序驱动因素已经存在于移动和分布式计算中，但对编程这些应用程序，表达其空间和时间约束的支持很少，并且支持优化层，以在现实世界中高度动态的平台上有效实现。这项研究通过提供语言和系统层支持来表达和优化空间应用来解决这些缺点。由于空间计算本质上是分布的，因此密切关注在程序内部和跨程序内的资源共享和管理。该项目的SARANA系统体系结构包括（i）一种编程语言，允许用户表达空间区域和所需的结果质量，（ii）可以优化程序以更有效地使用资源的编译器，（iii）运行时系统，该系统将动态安装和迁移到其资源可用性与资源需求的物理节点上的程序进行了符合其资源需求。资源成本模型渗透到Sarana的所有系统层，允许用户在成本效益折衷方面表达其资源需求和结果要求的质量。 。运行时系统的价格资源和服务，以便涉及有关资源需求和可用性的协议。萨拉纳（Sarana）的驾驶应用程序包括一个预警系统，以查找绑架儿童（Amber Alert），地震监测系统和多用户游戏网络。