Abstract
Mobile devices are equipped with many hardware accelerators to improve the performance and there are a bunch of third-party applications with rich-features in the application market. However, these applications always request large and contiguous physical memory as IO buffers and we observe that physical memory is severely fragmented after the mobile system runs for several hours. As a result, the memory allocation for such large and contiguous IO buffers will result in high latency and power consumption. Thus, this paper proposes a global memory fragmentation quantification approach that summarizes memory blocks access pattern and measures the allocation time of different order’s memory block dynamically. Our evaluation on Android Kitkat shows that the global memory fragmentation is very precise to reflect the fluency of whole system.
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Acknowledgement
This work is partially supported by grants from the National Natural Science Foundation of China (61672116, 61601067), Research Fund for the Doctoral Program of Higher Education of China (20130191120030), Chongqing High-Tech Research Program cstc2016jcyjA0332, Fundamental Research Funds for the Central Universities (CDJZR14185501, 0214005207005), Chongqing University (2012T0006).
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Li, Y., Liu, D., Zhang, J., Long, L. (2017). A Quantitative Approach for Memory Fragmentation in Mobile Systems. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science(), vol 10135. Springer, Cham. https://doi.org/10.1007/978-3-319-52015-5_34
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DOI: https://doi.org/10.1007/978-3-319-52015-5_34
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