Modeling driver level NAND flash memory I/O performance and power consumption for embedded Linux

Olivier, Pierre; Boukhobza, Jalil; Senn, Eric

doi:10.1109/isps.2013.6581480

2013 11th International Symposium on Programming and Systems (ISPS) 2013

DOI: 10.1109/isps.2013.6581480

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Modeling driver level NAND flash memory I/O performance and power consumption for embedded Linux

Pierre Olivier

Jalil Boukhobza²,

Eric Senn³

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Cited by 2 publications

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“…">NAND flash memory and NVMIn mobile devices, the performance of NAND flash memory is the major performance bottleneck in I/O storage system. NAND flash memory has several constraints, such as erase-before-rewrite, limited lifetime, and long-time overhead for garbage collection [20][21][22][23][24][25][26][27][28]. All these constrains seriously Figure 2.…”

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confidence: 99%

NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

Chen

Shen

et al. 2015

Softw. Pract. Exper.

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SUMMARYNAND flash memory has become the major storage media in mobile devices, such as smartphones. However, the random write operations of NAND flash memory heavily affect the I/O performance, thus seriously degrading the application performance in mobile devices. The main reason for slow random write operations is the out-of-place update feature of NAND flash memory. Newly emerged non-volatile memory, such as phase-change memory, spin transfer torque, supports in-place updates and presents much better I/O performance than that of flash memory. All these good features make non-volatile memory (NVM) as a promising solution to improve the random write performance for NAND flash memory. In this paper, we propose a non-volatile memory for random access (NVMRA) scheme to utilize NVM to improve the I/O performance in mobile devices. NVMRA exploits the I/O behaviors of applications to improve the random write performance for each application. Based on different I/O behaviors, such as random write-dominant I/O behavior, NVMRA adopts different storing decisions. The scheme is evaluated on a real Android 4.2 platform. The experimental results show that the proposed scheme can effectively improve the I/O performance and reduce the I/O energy consumption for mobile devices.

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NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

Chen

Shen

et al. 2015

Softw. Pract. Exper.

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A Methodology for Estimating Performance and Power Consumption of Embedded Flash File Systems

Olivier

Boukhobza

Senn

et al. 2016

ACM Trans. Embed. Comput. Syst.

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International audienceIn the embedded systems domain, obtaining performance and power consumption estimations is extremely valuable in numerous cases. This is particularly true during the design stage, as designers of complex embedded systems face an increasingly large design space. Secondary storage is a well-known performance bottleneck and has also been reported as an important factor of power consumption. Flash memory is the main secondary storage media in an embedded system and exhibits specific constraints in its usage. One popular way to manage these constraints is to use dedicated Flash File Systems (FFS). In this article, we propose a methodology to estimate the performance and power consumption of applicative I/Os on an FFS-based storage system within embedded Linux. The methodology is divided into three sequential steps. In the exploration phase, the main factors of an FFS storage system impacting performance and power consumption are identified. In the modeling phase, this impact is formalized into models. Finally, in the last phase, the models are implemented in a simulator named OpenFlash. OpenFlash allows obtaining performance and power consumption estimations for an applicative workload processed by the Linux FFS storage stack on an embedded platform. The simulator is validated against real measurements and the estimation error stays below 10%

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Modeling driver level NAND flash memory I/O performance and power consumption for embedded Linux

Cited by 2 publications

References 10 publications

NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

NVMRA: utilizing NVM to improve the random write operations for NAND-flash-based mobile devices

A Methodology for Estimating Performance and Power Consumption of Embedded Flash File Systems

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