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首页> 外文期刊>International journal of modeling, simulation and scientific computing >MODELING AND ANALYSIS OF EMBEDDED MULTIMEDIA APPLICATIONS USING COLORED PETRI NETS
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MODELING AND ANALYSIS OF EMBEDDED MULTIMEDIA APPLICATIONS USING COLORED PETRI NETS

机译:嵌入的Petri网在嵌入式多媒体应用中的建模与分析

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摘要

Embedded multimedia systems often run multiple time-constrained applications simultaneously. To meet the throughput constraints given in the specification, each application must be provided with enough resources by the underlying architecture, which is generally a multiprocessor system-on-chip (MPSoC). For this purpose, a mechanism for task binding and scheduling is required to provide each application with a timing guarantee, keeping in mind the available resources like processor(s) and memory bandwidth. Commonly, synchronous dataflow graphs (SDFGs) are used to model time-constrained multimedia applications. There are resource allocation strategies for SDFGs that help in formulating efficient techniques for calculating the throughput of a bounded and scheduled SDFG. The strategies are effective in terms of run-time and allocated resources. However, there is no unified modeling technique to simultaneously represent the application and the underlying architecture with resource allocation. This paper discusses a novel modeling technique using Colored Timed Petri Nets (CTPNs), which can be used to model the application as well as the architecture and the resource allocation. Such a representation helps in checking properties like liveness and boundedness for the application, taking into account the resource allocation and thus helping in defining satisfactory schedules for the executable tasks.
机译:嵌入式多媒体系统通常同时运行多个时间受限的应用程序。为了满足规范中给出的吞吐量限制,基础架构必须为每个应用程序提供足够的资源,该架构通常是多处理器片上系统(MPSoC)。为此,需要一种用于任务绑定和调度的机制,以便为每个应用程序提供定时保证,同时要记住可用资源,例如处理器和内存带宽。通常,同步数据流图(SDFG)用于对时间受限的多媒体应用程序进行建模。有用于SDFG的资源分配策略,可帮助制定有效的技术来计算有界和计划的SDFG的吞吐量。这些策略在运行时和分配的资源方面都是有效的。但是,没有统一的建模技术可以用资源分配来同时表示应用程序和底层体系结构。本文讨论了一种使用彩色定时Petri网(CTPN)的新颖建模技术,该技术可用于对应用程序以及体系结构和资源分配进行建模。这种表示形式有助于检查应用程序的活动性和有界性等属性,同时考虑到资源分配,从而有助于为可执行任务定义令人满意的时间表。

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