Volume 11 Number 7 (Jul. 2016)
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JSW 2016 Vol.11(7): 623-630 ISSN: 1796-217X
doi: 10.17706/jsw.11.7.623-630

ANN Predicted Apps-Usage Aware Linux Scheduler for Asymmetrical Multi Cluster SoC

Hou Zhao Qi Rex1, 2*, Jong Ching Chuen1, Andreas Herkersdorf2
1School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
2Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany.

Abstract—This research introduces an improved Linux scheduler that models and manages several power dissipation problems based on user application usage pattern identified in mobile computing platform. The scheduler is developed and simulated in Android 5.0 with the Linux kernel 3.10 and 3.14. The scheduler monitors multiple system performance metrics at runtime, predicts power dissipation and future workload with an ANN computation block. To exploit DVFS capabilities in ARM asymmetrical SoC designs a three clustered CPU setup had been introduced in this study and the scheduler interacts with the Linux Load Balancing mechanism to passively achieve optimized operating frequency for each application thread.

Index Terms—Linux, Android, power management, scheduling, thread interference power, ANN, GTS, IKS.

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Cite: Hou Zhao Qi Rex, Jong Ching Chuen, Andreas Herkersdorf, "ANN Predicted Apps-Usage Aware Linux Scheduler for Asymmetrical Multi Cluster SoC," Journal of Software vol. 11, no. 7, pp. 623-630, 2016.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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