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.

计算趋势日益催生新型分布式和高度动态的应用程序，其中空间感知发挥着核心作用。空间感知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来支持新颖的功能。 虽然移动和分布式计算中已经存在许多空间应用程序驱动程序，但对这些应用程序的编程、表达其空间和时间约束以及支持优化层以在现实世界、高度动态的平台上高效实现的支持却很少。这项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，因此需要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结果的质量，(ii) 一个可以优化程序以便更有效地使用资源的编译器，以及 (iii)动态安装程序并将其迁移到资源可用性与其资源需求相匹配的物理节点上的运行时系统。资源成本模型渗透到 SARANA 的所有系统层，允许用户以成本效益权衡的方式表达他们的资源需求和结果质量要求。 。运行时系统对资源和服务进行定价，以便就资源需求和可用性达成协议。 SARANA 的驾驶应用程序包括寻找被绑架儿童的早期预警系统（安珀警报）、地震监测系统和多用户游戏网络。