可预测流处理的侵入性计算:基于模拟的案例研究

Sascha Roloff, S. Wildermann, Frank Hannig, J. Teich
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引用次数: 6

摘要

异构多核系统支持将越来越多的应用程序集成到单个系统中。在同一系统中执行多个应用程序不可避免地导致资源共享,例如,当访问片上通信和内存时。当应用程序期望保证用户在时间、可靠性、安全性等方面的需求时,这就提出了挑战。在本文中,我们回顾了一种设计方法,它(a)允许应用程序设计人员对流处理应用程序和用户需求进行建模,然后(b)自动生成一组资源需求,以保证满足这些用户需求。入侵计算范式的技术使程序驱动的资源根据这些生成的资源需求进行动态保留。我们通过评估一个基于模拟的案例研究来证明,这为流处理应用程序的可预测执行提供了手段。
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Invasive computing for predictable stream processing: a simulation-based case study
Heterogeneous many-core systems enable the integration of more and more applications into a single system. Executing multiple applications in the same system inevitably leads to resource sharing, e.g., when accessing on-chip communication and memory. This poses a challenge when applications are expected to guarantee user requirements regarding timing, reliability, security, etc. In this paper, we review a design methodology that (a) allows an application designer to model a stream processing application and user requirements, and then (b) automatically generates a set of resource requirements that guarantee the fulfillment of these user requirements. Techniques from the Invasive Computing paradigm enable the program-driven dynamic reservation of resources according to these generated resource requirements.We demonstrate that this provides means for predictable execution of stream processing applications by evaluating a simulation-based case study.
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