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

Lucie Broyde, Lucie / LEB (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 (Unpublished)

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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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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Lucie Broyde, Lucie / LEBleb110@pitt.eduleb110
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Thesis AdvisorChen, Yiranyiran.chen@duke.eduyic52
Committee MemberMao, Zhi-Hongzhm4@pitt.eduZHM4
Committee MemberEl-Jaroudi, Amroamro@pitt.eduamro
Committee ChairChen, Yiranyiran.chen@duke.eduyic52
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: 13 Jun 2017 15:08


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