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Web browser workload characterization for power management on HMP platforms

Authors:

Sangyoung Park,

Samarjit Chakraborty,

Benedikt Meurer,

Daniel CliffordAuthors Info & Claims

CODES '16: Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis

Article No.: 26, Pages 1 - 10

https://doi.org/10.1145/2968456.2968469

Published: 01 October 2016 Publication History

Abstract

The volume of mobile web browsing traffic has significantly increased as well as the complexity of the mobile websites mandating high-performance web page rendering engines to be used on mobile devices. Although there has been a significant improvement in performance of web page rendering on mobile phones in recent years, the power consumption reduction has not been addressed much. A main contribution of this work is a thread level analysis of the workload generated by Google's Chrome browser on a heterogeneous multi-processing (HMP) platform found in many smartphones. We analyze the detailed traces of the thread workload generated by the web browser, especially the rendering engine, and discuss the power saving potentials in relation to power management policies in Android. Moreover, we propose power management strategies based on the results. All trace data and measurement results have been collected on a real HMP platform integrating the Samsung Exynos5422 SoC, also used in the Samsung Galaxy S5 smartphone. Our work shows that there is a considerable scope for power savings and outlines directions for future research. We believe that it will lead to development of practical power management techniques considering thread allocation, dynamic voltage and frequency scaling (DVFS) and power gating.

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Cited By

Fraccaroli EJang SStach LYang HPark SChakraborty S(2024)Wear Leveling-Aware Active Battery Cell Balancing2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID)10.1109/VLSID60093.2024.00114(643-648)Online publication date: 6-Jan-2024
https://doi.org/10.1109/VLSID60093.2024.00114
Xu SHobbs CGhosh BDuggirala PChakraborty S(2024)Certifiable and Efficient Autonomous Cyber-Physical Systems Design2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID)10.1109/VLSID60093.2024.00049(259-263)Online publication date: 6-Jan-2024
https://doi.org/10.1109/VLSID60093.2024.00049
Khadem AFujiki DTalati NMahlke SDas R(2023)Vector-Processing for Mobile Devices: Benchmark and Analysis2023 IEEE International Symposium on Workload Characterization (IISWC)10.1109/IISWC59245.2023.00036(15-27)Online publication date: 1-Oct-2023
https://doi.org/10.1109/IISWC59245.2023.00036
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cover image ACM Other conferences

CODES '16: Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis

October 2016

294 pages

ISBN:9781450344838

DOI:10.1145/2968456

Copyright © 2016 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2016

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ESWEEK'16

ESWEEK'16: TWELFTH EMBEDDED SYSTEM WEEK

October 1 - 7, 2016

Pennsylvania, Pittsburgh

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Overall Acceptance Rate 280 of 864 submissions, 32%

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Cited By

Fraccaroli EJang SStach LYang HPark SChakraborty S(2024)Wear Leveling-Aware Active Battery Cell Balancing2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID)10.1109/VLSID60093.2024.00114(643-648)Online publication date: 6-Jan-2024
https://doi.org/10.1109/VLSID60093.2024.00114
Xu SHobbs CGhosh BDuggirala PChakraborty S(2024)Certifiable and Efficient Autonomous Cyber-Physical Systems Design2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID)10.1109/VLSID60093.2024.00049(259-263)Online publication date: 6-Jan-2024
https://doi.org/10.1109/VLSID60093.2024.00049
Khadem AFujiki DTalati NMahlke SDas R(2023)Vector-Processing for Mobile Devices: Benchmark and Analysis2023 IEEE International Symposium on Workload Characterization (IISWC)10.1109/IISWC59245.2023.00036(15-27)Online publication date: 1-Oct-2023
https://doi.org/10.1109/IISWC59245.2023.00036
Choi YPark SJeon SHa RCha H(2022)Optimizing Energy Consumption of Mobile GamesIEEE Transactions on Mobile Computing10.1109/TMC.2021.305838121:10(3744-3756)Online publication date: 1-Oct-2022
https://doi.org/10.1109/TMC.2021.3058381
Maity SGhose ADey SPark SChakraborty S(2021)Work-in-Progress: Cooling by Core-Idling: Thermal-Aware Thread Scheduling for Mobile Multicore Processors2021 IEEE Real-Time Systems Symposium (RTSS)10.1109/RTSS52674.2021.00055(520-523)Online publication date: Dec-2021
https://doi.org/10.1109/RTSS52674.2021.00055
Guo LZhai SQiao YLin FDan TDahlia M(2019)TranskernelProceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference10.5555/3358807.3358865(675-691)Online publication date: 10-Jul-2019
https://dl.acm.org/doi/10.5555/3358807.3358865
Golestani HMahlke SNarayanasamy S(2019)Characterization of Unnecessary Computations in Web Applications2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)10.1109/ISPASS.2019.00010(11-21)Online publication date: Mar-2019
https://doi.org/10.1109/ISPASS.2019.00010
Uzair ABeg MMujtaba HMajeed H(2019)WEEC: Web Energy Efficient ComputingSustainable Computing: Informatics and Systems10.1016/j.suscom.2018.08.00522(230-243)Online publication date: Jun-2019
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Tamilselvan KThangaraj P(2019)Pods – A Novel Intelligent Energy Efficient And Dynamic Frequency Scalings For Multi-Core Embedded Architectures In An Iot EnvironmentMicroprocessors and Microsystems10.1016/j.micpro.2019.102907(102907)Online publication date: Oct-2019
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Mittal SMattela V(2019)A survey of techniques for improving efficiency of mobile web browsingConcurrency and Computation: Practice and Experience10.1002/cpe.512631:15Online publication date: 10-Jan-2019
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