[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7236/IJASC.2019.8.1.9

Application-Adaptive Performance Improvement in Mobile Systems by Using Persistent Memory

Bahn, Hyokyung (Department of Computer Engineering, Ewha University)

Publication Information

International journal of advanced smart convergence / v.8, no.1, 2019 , pp. 9-17 More about this Journal

Abstract

In this article, we present a performance enhancement scheme for mobile applications by adopting persistent memory. The proposed scheme supports the deadline guarantee of real-time applications like a video player, and also provides reasonable performances for non-real-time applications. To do so, we analyze the program execution path of mobile software platforms and find two sources of unpredictable time delays that make the deadline-guarantee of real-time applications difficult. The first is the irregular activation of garbage collection in flash storage and the second is the blocking and time-slice based scheduling used in mobile platforms. We resolve these two issues by adopting high performance persistent memory as the storage of real-time applications. By maintaining real-time applications and their data in persistent memory, I/O latency can become predictable because persistent memory does not need garbage collection. Also, we present a new scheduler that exclusively allocates a processor core to a real-time application. Although processor cycles can be wasted while a real-time application performs I/O, we depict that the processor utilization is not degraded significantly due to the acceleration of I/O by adopting persistent memory. Simulation experiments show that the proposed scheme improves the deadline misses of real-time applications by 90% in comparison with the legacy I/O scheme used in mobile systems.

Keywords

Real-time application; Mobile application; Smartphone; Persistent memory;

Citations & Related Records

Reference

1	S. Wang Y. Chen, W. Jiang, P. Li, T. Dai, and Y. Cui, "Fairness and interactivity of three CPU schedulers in Linux," in Proc. IEEE RTCSA, 2009.
2	J. Kim, J. Kim, S. Noh, S. Min, and Y. Cho, “A Space efficient Flash Translation Layer for CompactFlash Systems,” IEEE Trans. Consumer Electron., Vol. 48, No. 2, pp. 366-375, 2002. DOI: https://doi.org/10.1109/TCE.2002.1010143 DOI
3	E. Lee S. Yoo, J. Jang, and H. Bahn, "WIPS: a write-in-place snapshot file system for storage-class memory," Electronics Letters, Vol.48, No.17, pp. 1053-1054, 2012. DOI: https://doi.org/10.1049/el.2012.1016 DOI
4	B. Brandenburg, J. Calandrino, and J. Anderson, "On the Scalability of Real-Time Scheduling Algorithms on Multicore Platforms: A Case Study," in Proc. IEEE RTSS, 2008.
5	S. Lee, H. Bahn, and S. Noh, "Characterizing Memory Write References for Efficient Management of PCM and DRAM Memory," in Proc. IEEE MASCOTS, 2011.
6	X. Wu and A. Reddy, "SCMFS: a file system for storage class memory," in Proc. IEEE Conference on Supercomputing (SC), 2011.
7	H. Choi and H. Yun, "Context Switching and IPC Performance Comparison between uClinux and Linux on the ARM9 based Processor," in Proc. SAMSUNG Tech. Conference, 2005.