Exploring Energy Saving for Mixed-Criticality Systems on Multi-Cores

Conference paper (2016)

Authors

S. Narayana ETH Zürich, Embedded Systems -

P Huang ETH Zürich

G. Giannopoulou ETH Zürich

L. Thiele ETH Zürich

Ranga Rao Venkatesha Prasad Embedded Systems -

Research Group

Embedded Systems () (TU Delft)

Minimization Vehicle dynamics Energy consumption Power demand Program processors Job shop scheduling Processor scheduling

To reference this document use:

http://resolver.tudelft.nl/uuid:61020a13-9300-4b28-b428-866ff2a1e331

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Published Date

2016

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Embedded Systems

Abstract

In this paper we study a general energy minimization problem for mixed-criticality systems on multi-cores, considering different system operation modes, and static & dynamic energy consumption. While making global scheduling decisions, trade-offs in energy consumption between different modes and also between static and dynamic energy consumption are required. Thus, such a problem is challenging. To this end, we first develop an optimal solution analytically for unicore and a corresponding low-complexity heuristic. Leveraging this, we further propose energy-aware mapping techniques and explore energy savings for multi-cores. To the best of our knowledge, we are the first to investigate mixed-criticality energy minimization in such a general setting. The effectiveness of our approaches in energy reduction is demonstrated through both extensive simulations and a realistic industrial application.