分布式设置中的依赖管理

Guanling Chen, D. Kotz
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引用次数: 6

摘要

在计算和通信饱和的普适计算环境中,应用程序必须根据用户和物理空间的上下文调整其行为。这些“上下文感知”应用程序通常通过聚合分布式传感器的一个或多个输出来获得高级情景理解。为了降低开发和部署这些自适应应用程序的复杂性,我们设计并实现了一个灵活的软件基础设施Solar,用于大规模上下文融合(Chen et al., 2004)。Solar由一组功能相同的节点组成,这些节点被称为行星,它们彼此对等,形成一个服务覆盖层。传感器连接到Planet,向Solar的命名服务注册名称并发布事件流,而应用程序连接到Planet,通过查询Solar的名称空间订阅一个或多个传感器输出。此外,应用程序可以将数据融合操作符注入到Solar中,以减少移动设备上的计算和通信成本。在这篇文章中,我们提出了在Solar中解决依赖管理问题的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dependency management in distributed settings
Applications in a computation and communication saturated pervasive-computing environment have to adapt their behaviors according the context of the user and the physical space. These "context-aware" applications typically obtain high-level situational understanding by aggregating one or more outputs of distributed sensors. To reduce the complexity of developing and deploying these adaptive applications, we designed and implemented a flexible software infrastructure, Solar, for large-scale context fusion (Chen et al., 2004). Solar consists of a set of functionally equivalent nodes, named Planets, which peer together to form a service overlay. A sensor connects to a Planet to register a name with Solar's naming service and publish a stream of events, while an application connects to a Planet to subscribe to one or more sensor outputs by querying Solar's name space. In addition, applications may inject data-fusion operators into the Solar to reduce the computation and communication costs on the mobile devices. In this paper we present our approach to address the dependency management issues in Solar.
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