普适计算环境下基于多处理器网络的管道处理框架

Mitsunori Kubo, Baoliu Ye, Arata Shinozaki, M. Guo
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引用次数: 16

摘要

普适计算为计算的未来提供了一个有吸引力的愿景,即上下文智能服务将随时随地可用。然而,如何整合存在于异构设备之间的分布式资源,构建能够不断适应高动态计算环境的普适应用程序仍然是一个挑战。通过分析用户任务中的流水线特性和利用无处不在的处理器之间的并行性,我们提出了一种基于无处不在的多处理器的流水线处理架构,以支持高性能的普适应用程序开发。UMP-PerComp是一个集成的综合框架,使普及应用程序的开发更加容易。它包括一组公共服务,如上下文管理、资源管理、服务迁移、拓扑管理,这些服务有助于构建应用程序,并直接简化任务解耦和服务组合。本文描述了UMP-PerComp的设计与实现。此外,我们还在udp - percomp上成功开发了一个分布式JPEG编码应用程序。我们的经验证实,UMP-PerComp是一个灵活、可扩展、实用的高性能框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UMP-PerComp: A Ubiquitous Multiprocessor Network-Based Pipeline Processing Framework for Pervasive Computing Environments
Pervasive computing provides an attractive vision for the future of computing where contextual intelligent services will be available anywhere at any time. However, how to integrate distributed resources existed among heterogeneous devices to build pervasive applications that can constantly adapt to the highly dynamic computing environment is still a challenge. By analyzing the pipelining feature within a user task and exploiting the parallelism among ubiquitous processors, we propose UMP-PerComp, a ubiquitous multiprocessor-based pipeline processing architecture to support high performance pervasive application development. UMP-PerComp is an integrated comprehensive framework that makes the development of pervasive applications easier. It includes a set of common services such as context management, resource management, service migration, topology management, that help to build applications and directly simplify the task decoupling and service composition. We describe the design and implementation of UMP-PerComp in this paper. Besides, we develop a distributed JPEG encoding application successfully on the UMP-PerComp. Our experience confirms that UMP-PerComp is a flexible, scalable and practicable framework with high performance.
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