Dynamic merging/splitting for better responsiveness in mobile devices

Wu, Chao; Ji, Cheng; Shi, Liang; Huang, Bin; Wang, Yuangang

doi:10.1109/nvmsa.2016.7547185

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…Despite advancements in technology, mobile devices still experience unpredictable delays. Wu et al [15] found that improper merging operations in the I/O scheduler layer significantly contribute to these delays. To reduce system latency caused by large merged requests, they propose a new dynamic merging/splitting-based I/O scheduling approach to enhance system responsiveness.…”

Section: Related Workmentioning

confidence: 99%

Efficient Asynchronous I/O with Request Merging

Chowdhury

Tang

Bez

et al. 2023

2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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With the advancement of exascale computing, the amount of scientific data is increasing day by day. Efficient data access is necessary for scientific discoveries. Unfortunately, the I/O performance is not improved, like the CPU and network speed. So, I/O operations take longer time than data generation or analysis. Asynchronous I/O has been proposed to extenuate the I/O bottleneck by overlapping I/O and computation time. However, multiple small write operations can diminish the benefits of asynchronous I/O, as the I/O time becomes significantly longer than the compute time, with little time to overlap with. To overcome these issues, we present an optimization technique to merge small contiguous write operations. We integrated our solution into the HDF5 asynchronous I/O VOL connector and demonstrated the effectiveness of merging HDF5 write operations automatically and transparently without requiring any code change from the application.

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Section: Related Workmentioning

confidence: 99%