Applying autonomic principles for workload management in multi-core systems on chip

Applying autonomic principles for workload management in multi-core systems on chip
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应用自主原则在多核片上系统中进行工作负载管理

DOI:
10.1145/1998582.1998586
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发表时间:
2011
期刊:
2016 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)
影响因子:
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通讯作者:
A. Herkersdorf
A. Herkersdorf
中科院分区:
--
文献类型:
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作者:
J. Zeppenfeld;A. Herkersdorf

文献摘要

被引文献

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本文探讨了对片上多核网络处理器系统进行自主增强的各种可能性。基于自主的片上系统范例,展示了如何添加监视器来量化典型处理器核的运行状态,从而学习分类器系统评估器可以确定要执行的适当动作,以便优化整个系统的频率和任务分配。通过一个硬件原型验证了自主概念用于动态组件参数化和运行时任务管理的可行性。
This paper explores various possibilities for autonomic enhancements to a multi-core network processor system on chip. Based on the autonomic system on chip paradigm, it is shown how monitors can be added to quantify the operating state of a typical processor core, whereupon a learning classifier system evaluator can determine appropriate actions to be performed in order to optimize the frequency and task distribution across the system. A hardware prototype is used to demonstrate the feasibility of autonomic concepts for dynamic component parameterization and task management at run time.