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正在导致一类新的分布式和高度动态的应用程序，其中空间感知起着核心作用。空间感知应用依赖于关于计算设备的地理位置的绝对或相对信息，以便支持新颖的功能。 虽然许多空间应用程序驱动程序已经存在于移动的和分布式计算中，但很少支持对这些应用程序进行编程，表达其空间和时间约束，并支持优化层，以便在真实世界的高度动态平台上有效实现。本研究通过为表达和优化空间应用程序提供语言和系统层支持来解决这些缺点。由于空间计算本质上是分布式的，因此密切关注程序内部和程序之间的资源共享和管理。该项目的SARANA系统架构包括（i）一种编程语言，允许用户表达感兴趣的空间区域和所需的结果质量，（ii）一个编译器，可以优化程序，使其更有效地使用资源，以及（iii）一个运行时系统，动态安装和迁移程序到物理节点上，其资源可用性匹配其资源需求。资源成本模型渗透到SARANA的所有系统层，允许用户表达他们的资源需求和质量的结果要求的成本效益权衡。.运行时系统为资源和服务定价，以便代理关于资源需求和可用性的协议。SARANA的驾驶应用程序包括一个早期预警系统，以寻找被绑架的儿童（琥珀警报），地震监测系统，和多用户游戏网络。