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Optimizing Sliding Performance in iOS

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Smart Grid and Innovative Frontiers in Telecommunications (SmartGIFT 2018)

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Abstract

How to improve iOS sliding performance has always been the focus of iOS application optimization. This paper analyzes the principle of AutoLayout and Frame view layout, the opportunity of network loading, CPU and GPU performance consumption during sliding process. First, we provide the appropriate solution to avoid using AutoLayout, and adjust the time of network loading by preloading to reduce the waiting time dynamically. Pre-cache and asynchronous rendering to reduce the main thread CPU consumption is implemented to reduce the main thread CPU consumption, and at the same time, GPU consumption is reduced by asynchronous rendering. Finally, verify the feasibility and effectiveness of the optimization scheme by experiments. It is verified that the percentage of the main thread CPU consumption decreases by 17.2% and FPS increases from 37 Hz to 60 Hz.

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Acknowledgement

This work was supported in part by the (1) National Natural Science Foundation of China (No. 61671079, 61771068, 61471063) (2) Beijing Municipal Natural Science Foundation (No. 4182041).

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Authors and Affiliations

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, People’s Republic of China

    Qin Zhao, Qi Qi, Lejian Zhang & Qiwei Shen

  2. EBUPT Information Technology Co., Ltd, Beijing, 100191, People’s Republic of China

    Qin Zhao, Qi Qi, Lejian Zhang & Qiwei Shen

Authors
  1. Qin Zhao
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  2. Qi Qi
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  3. Lejian Zhang
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  4. Qiwei Shen
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Corresponding author

Correspondence to Qi Qi .

Editor information

Editors and Affiliations

  1. Auckland University of Technology, Auckland, New Zealand

    Peter Han Joo Chong

  2. Auckland University of Technology, Auckland, New Zealand

    Boon-Chong Seet

  3. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom

    Michael Chai

  4. Auckland City Hospital, Auckland, New Zealand

    Saeed Ur Rehman

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhao, Q., Qi, Q., Zhang, L., Shen, Q. (2018). Optimizing Sliding Performance in iOS. In: Chong, P., Seet, BC., Chai, M., Rehman, S. (eds) Smart Grid and Innovative Frontiers in Telecommunications. SmartGIFT 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 245. Springer, Cham. https://doi.org/10.1007/978-3-319-94965-9_12

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  • DOI: https://doi.org/10.1007/978-3-319-94965-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94964-2

  • Online ISBN: 978-3-319-94965-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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