分布式嵌入式系统的协同计算

C. Borcea, D. Iyer, P. Kang, Akhilesh Saxena, L. Iftode
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引用次数: 71

摘要

下一代计算系统将是嵌入式的,其数量几乎是无限的,并且是动态连接的。当前的软件、网络体系结构及其相关的编程模型不适合这种场景。本文提出了一种分布式计算模型、协同计算和智能消息架构,用于嵌入式系统大型网络的编程。在协作计算中,分布式应用程序是迁移执行单元(称为智能消息)的动态集合,它们致力于实现一个共同的目标。实际上,任何用户定义的分布式应用程序都可以使用我们的模型来实现。我们展示了我们的原型实现的初步结果,以及先前提出的两种传感器网络应用的模拟结果,定向扩散和SPIN,使用智能消息实现。
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Cooperative computing for distributed embedded systems
The next generation of computing systems will be embedded, in a virtually unbounded number, and dynamically connected. The current software, network architectures, and their associated programming models are not suitable for this scenario. This paper presents a distributed computing model, Cooperative Computing, and the Smart Messages architecture for programming large networks of embedded systems. In Cooperative Computing, distributed applications are dynamic collections of migratory execution units, called Smart Messages, working to achieve a common goal. Virtually any user-defined distributed application can be implemented using our model. We present preliminary results for our prototype implementation as well as simulation results for two previously proposed applications for sensor networks, Directed Diffusion and SPIN, implemented using Smart Messages.
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Cooperative computing for distributed embedded systems A self-stabilizing protocol for pipelined PIF in tree networks A pluggable service-to-service communication mechanism for VNA architecture Dynamic replica control based on fairly assigned variation of data with weak consistency for loosely coupled distributed systems Migratory TCP: connection migration for service continuity in the Internet
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