Cited 5 time in webofscience Cited 13 time in scopus

Thermal-aware resource management for embedded real-time systems

Title
Thermal-aware resource management for embedded real-time systems
Authors
Lee, YoungmoonChwa, Hoon SungShin, Kang G.Wang, Shige
DGIST Authors
Chwa, Hoon Sung
Issue Date
2018-11
Citation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(11), 2857-2868
Type
Article
Article Type
Article
Keywords
Dynamic ambient temperatureembedded real-time systemstask-level power dissipationthermal-aware resource managementDistributed computer systemsDynamicsElectric lossesEmbedded systemsInteractive computer systemsNatural resources managementResource allocationSystem-on-chipTemperatureThermal management (electronics)Adaptive parametersAutomotive microcontrollersEmbedded real time systemsResource managementResource management frameworkResource utilizationsTask levelsTemperature variationReal time systems
ISSN
0278-0070
Abstract
With an increasing demand for complex and powerful system-on-chips, modern real-time automotive systems face significant challenges in managing on-chip-temperature. We demonstrate, via real experiments, the importance of accounting for dynamic ambient temperature and task-level power dissipation in resource management so as to meet both thermal and timing constraints. To address this problem, we propose RT-TRM, a real-time thermal-aware resource management framework. We first introduce a task-level dynamic power model that can capture different power dissipations with a simple task-level parameter called the activity factor. We then develop two new mechanisms, adaptive parameter assignment and online idle-time scheduling. The former adjusts voltage/frequency levels and task periods according to the varying ambient temperature while preserving feasibility. The latter generates a schedule by allocating idle times efficiently without missing any task/job deadline. By tightly integrating the solutions of these two mechanisms, we can guarantee both thermal and timing constraints in the presence of dynamic ambient temperature variations. We have implemented RT-TRM on an automotive microcontroller to demonstrate its effectiveness, achieving better resource utilization by 18.2% over other runtime approaches while meeting both thermal and timing constraints. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/9413
DOI
10.1109/TCAD.2018.2857279
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Chwa, Hoon Sung Real-Time Computing Lab
  • Research Interests Real-Time Systems; Real-Time AI Services; Cyber-Physical Systems; Mobile Systems
Files:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringReal-Time Computing Lab1. Journal Articles


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