Design and Implementation of a Journaling File System for Phase-Change Memory

Lee, Eunji; Yoo, Seung Hoon; Bahn, Hyokyung

doi:10.1109/tc.2014.2329674

Cited by 34 publications

(14 citation statements)

References 23 publications

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“…The core board is equipped with 64 GB NAND flash memory, 128 GB SD card, and 1 GB DDR3 RAM. We use a small portion of RAM to simulate NVM, because the I/O accessing patterns of NVM and speed are comparable with RAM [46][47][48][49][50][51][52]. The physical interfaces, such as the USB interface, are designed in the mother board, and we connect a WiFi module through the USB interface.…”

Section: Methodsmentioning

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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Section: Methodsmentioning

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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“…To alleviate this situation, many new file systems were designed for NVM, eg, BPFS, 20 SCMFS, 21 Aerie, 22 PMFS, 23 and Shortcut-JFS. 24 Furthermore, to simplify NVM-based programming, new programming models were proposed in the works of Coburn et al and Volos et al, 25,26 providing programmers an easy way to use NVM. In addition, if NVM device is used in cloud storage, cloud storage forensic analysis [27][28][29] can also be accelerated.…”

Section: Nonvolatile Memorymentioning

confidence: 99%

“…When we need to do wear-leveling, the blocks in E 1 will be the first priority (lines 9-13 and lines [25][26][27][28][29]. If E 1 is empty, then the tail block in L 1 will be selected (lines 4-8 and lines [20][21][22][23][24]. This algorithm only contains simple list operations and will not generate big performance overhead.…”

Section: Wear-leveling Algorithmmentioning

confidence: 99%

MBSA: a lightweight and flexible storage architecture for virtual machines

Chen

et al. 2017

Concurrency and Computation

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With the advantages of extremely high access speed, low energy consumption, nonvolatility, and byte addressability, nonvolatile memory (NVM) device has already been setting off a revolution in storage field. Conventional storage architecture needs to be optimized or even redesigned from scratch to fully explore the performance potential of NVM device. However, most previous NVM-related works only explore its low access latency and low energy consumption. Few works have been done to explore the appropriate way to use NVM device for improving virtual machine's storage performance. In this paper, we comprehensively evaluate and analyze conventional virtual machine's storage architecture. We find that, even with cutting-edge optimization technologies, virtual machine can only achieve 30% of NVM device's original performance. Based on this observation, we propose a memory bus-based storage architecture, which we named MBSA. Memory bus-based storage architecture can greatly shorten the length of virtual machine's storage input/output stack and improve NVM device's use flexibility. In addition, an efficient wear-leveling algorithm is proposed to prolong NVM device's lifespan. To evaluate the new architecture, we implement it as well as the wear-leveling algorithm on real hardware and software platform.Experimental results show that MBSA can provide a big performance improvement, about 2.55X, and the wear-leveling algorithm can efficiently balance write operations on NVM device with a negligible performance overhead (no more than 3%).

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“…By launching new framework with modern techniques we also come up with the term "File Virtual Address Space" [8].…”

Section: Background Studymentioning

confidence: 99%

A New Design of in-Memory File System based on File Virtual Address Framework

Samad¹,

Memon²

2017

ijacsa

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Abstract-Rapid growth in technology is increasing day by day that demands computer systems to work better, should be reliable and have faster performance with fair cost and best functionalities. In the modern era of technology, memory files are used to shorten the performance gap between memory and storage. Sustainable in-memory file system (SIMFS) was the first that introduces the concept of open file address space into the address space of the process and exploits the memory mapping hardware while accessing files. The purpose of designing and implementing the SIMFS architecture is to achieve performance improvement of in-memory file system. SCMFS are designed for the storage class system that uses the presented memory management component in the operating system to assist in managing block, and it manages the space for each and every file adjacent to the virtual address space. A recent study has proposed that non-volatile memories are powerful enough to minimize the performance gap, as compared to previous generation non-volatile memories. This is because the performance gap between non-volatile and volatile memories has been reduced and there are possibilities of using a non-volatile memory as a computer's main memory in near future. Lately, high-speed non-volatile storage media, such as Phase Change Memory (PCM) has come into view and it is expected that for storage device PCM will be used by replacing the hard disk in upcoming years. Moreover, the PCM is byte-addressable, it means that it can access individual byte of data rather than word and data access time is expected to be almost indistinguishable of DRAM, a volatile memory. These features and innovations in computer architecture are making the computer system more reliable and faster.

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Design and Implementation of a Journaling File System for Phase-Change Memory

Cited by 34 publications

References 23 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

MBSA: a lightweight and flexible storage architecture for virtual machines

A New Design of in-Memory File System based on File Virtual Address Framework

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