MobiCore: An Adaptive Hybrid Approach for Power-Efficient CPU Management on Android Devices

Lucie Broyde, Lucie (2017) MobiCore: An Adaptive Hybrid Approach for Power-Efficient CPU Management on Android Devices. Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

Smartphones are becoming essential devices used for various types of applications in our daily life. To satisfy the ever-increasing performance requirement, the number of CPU cores in a phone keeps growing, which imposes a great impact on its power consumption. This work presents a series of analysis to understand how the current Android resource management policy adjusts CPU
features. Our results indicate a significant improvement margin for CPU power efficiency in modern Android smartphones. We then propose MobiCore – a power-efficient CPU management scheme that can optimize the use of Dynamic and Frequency Voltage Scaling (DVFS) and the
Dynamic Core Scaling (DCS) techniques with a sensitive control on CPU bandwidth. The measurements on the real systems prove that MobiCore can achieve substantial CPU power reduction compared to state-of-the-art architecture.

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Details

Item Type:	University of Pittsburgh ETD
Status:	Unpublished
Creators/Authors:	Creators Email Pitt Username ORCID Lucie Broyde, Lucie leb110@pitt.edu leb110
ETD Committee:	Title Member Email Address Pitt Username ORCID Thesis Advisor Chen, Yiran yiran.chen@duke.edu yic52 Committee Member Mao, Zhi-Hong zhm4@pitt.edu ZHM4 Committee Member El-Jaroudi, Amro amro@pitt.edu amro Committee Chair Chen, Yiran yiran.chen@duke.edu yic52
Date:	21 February 2017
Defense Date:	15 March 2017
Approval Date:	13 June 2017
Submission Date:	17 March 2017
Access Restriction:	No restriction; Release the ETD for access worldwide immediately.
Number of Pages:	60
Institution:	University of Pittsburgh
Schools and Programs:	Swanson School of Engineering > Electrical and Computer Engineering
Degree:	MS - Master of Science
Thesis Type:	Master's Thesis
Refereed:	Yes
Uncontrolled Keywords:	CPU; Management; Android; DVFS; Policy; Power consumption; Performance
Date Deposited:	13 Jun 2017 15:08
Last Modified:	19 Jul 2024 19:05
URI:	http://d-scholarship.pitt.edu/id/eprint/30986

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