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SpanDB: A Fast, Cost-Effective LSM-tree Based KV Store on Hybrid storage 19

SpanDB: A Fast, Cost-Effective LSM-tree Based KV Store on Hy...

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19th usenix conference on file and storage technologies (FAST)

作者： Chen, Hao Ruan, Chaoyi Li, Cheng Ma, Xiaosong Xu, Yinlong Univ Sci & Technol China Hefei Peoples R China HBKU Qatar Comp Res Inst Hong Kong Peoples R China Anhui Prov Key Lab High Performance Comp Hefei Peoples R China

ISBN: (纸本)9781939133205

Key-Value (KV) stores support many crucial applications and services. they perform fast in-memory processing, but are still often limited by I/O performance. the recent emergence of high-speed commodity NVMe SSDs has propelled new KV system designs that take advantage of their ultra-low latency and high bandwidth. Meanwhile, to switch to entirely new data layouts and scale up entire databases to high-end SSDs requires considerable investment. As a compromise, we propose SpanDB, an LSM-tree-based KV store that adapts the popular RocksDB system to utilize selective deployment of high-speed SSDs. SpanDB allows users to host the bulk of their data on cheaper and larger SSDs, while relocating write-ahead logs (WAL) and the top levels of the LSM-tree to a much smaller and faster NVMe SSD. To better utilize this fast disk, SpanDB provides high-speed, parallel WAL writes via SPDK, and enables asynchronous request processing to mitigate inter-thread synchronization overhead and work efficiently with polling-based I/O. Our evaluation shows that SpanDB simultaneously improves RocksDB's throughput by up to 8.8. and reduces its latency by 9.5-58.3%. Compared with KVell, a system designed for high-end SSDs, SpanDB achieves 96-140% of its throughput, with a 2.3-21.6. lower latency, at a cheaper storage configuration.

关键词： Cost effectiveness

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Rethinking file mapping for persistent memory 19

Rethinking file mapping for persistent memory

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19th usenix conference on file and storage technologies, FAST 2021

作者： Neal, Ian Zuo, Gefei Shiple, Eric Khan, Tanvir Ahmed Kwon, Youngjin Peter, Simon Kasikci, Baris University of Michigan United States School of Computing KAIST University of Texas Austin United States

ISBN: (纸本)9781939133205

Persistent main memory (PM) dramatically improves IO performance. We find that this results in file systems on PM spending as much as 70% of the IO path performing file mapping (mapping file offsets to physical locations on storage media) on real workloads. However, even PM-optimized file systems perform file mapping based on decades-old assumptions. It is now critical to revisit file mapping for PM. We explore the design space for PM file mapping by building and evaluating several file-mapping designs, including different data structure, caching, as well as meta-data and block allocation approaches, within the context of a PM-optimized file system. Based on our findings, we design HashFS, a hash-based file mapping approach. HashFS uses a single hash operation for all mapping and allocation operations, bypassing the file system cache, instead prefetching mappings via SIMD parallelism and caching translations explicitly. HashFS’s resulting low latency provides superior performance compared to alternatives. HashFS increases the throughput of YCSB on LevelDB by up to 45% over page-cached extent trees in the state-of-the-art Strata PM-optimized file system. © 2021 by the usenix Association.

关键词： Mapping

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Pattern-Guided file Compression with User-Experience Enhancement for Log-Structured file System on Mobile Devices

Pattern-Guided File Compression with User-Experience Enhance...

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19th usenix conference on file and storage technologies (FAST)

作者： Ji, Cheng Chang, Li-Pin Pan, Riwei Wu, Chao Gao, Congming Shi, Liang Kuo, Tei-Wei Xue, Chun Jason Nanjing Univ Sci & Technol Nanjing Peoples R China Natl Chiao Tung Univ Hsinchu Taiwan Natl Yang Ming Chiao Tung Univ Taipei Taiwan City Univ Hong Kong Hong Kong Peoples R China Tsinghua Univ Beijing Peoples R China East China Normal Univ Shanghai Peoples R China

ISBN: (纸本)9781939133205

Mobile applications exhibit unique file access patterns, often involving random accesses of write-mostly files and read-only files. the high write stress of mobile applications significantly impacts on the lifespan of flash-based mobile storage. To reduce write stress and save space without sacrificing user-perceived latency, this study introduces FPC, file access pattern guided compression. FPC is optimized for the random-writes and fragmented-reads of mobile applications. It features dual-mode compression: Foreground compression handles write-mostly files for write stress reduction, while background compression packs random-reading file blocks for boosted read performance. FPC exploits the out-of-place updating design in F2FS, a log-structured file system for mobile devices, for the best effect of the proposed dual-mode compression. Experimental results showed that FPC reduced the volume of total write traffic and executable file size by 26.1% and 23.7% on average, respectively, and improved the application launching time by up to 14.8%.

关键词： Mobile computing

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proceedings of the 16th usenix conference on file and storage technologies, FAST 2018

Proceedings of the 16th USENIX Conference on File and Storag...

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16th usenix conference on file and storage technologies, FAST 2018

ISBN: (纸本)9781931971423

the proceedings contain 23 papers. the topics discussed include: fail-slow at scale: evidence of hardware performance faults in large production systems;protocol-aware recovery for consensus-based storage;WAFL iron: repairing live enterprise file systems;MQSim: a framework for enabling realistic studies of modern multi-queue SSD devices;spiffy: enabling file-system aware storage applications;towards robust file system checkers;towards web-based delta synchronization for cloud storage services;endurable transient inconsistency in byte-addressable persistent B+-tree;and high-performance transaction processing in journaling file systems.

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Enabling manycore scalability in F2FS metadata for unlink() operation 21

Enabling manycore scalability in F2FS metadata for unlink() ...

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14th ACM International conference on Systems and storage, SYSTOR 2021

作者： Hwang, Soon Lee, Chang-Gyu Kim, Youngjae Dept. of Computer Science and Engineering Sogang University Seoul Korea Republic of

Manycore systems enable massive parallel I/O in a single server due to the number of cores. Among file I/O operations in a file system, C. Lee et al. [1] applied range lock in F2FS for parallel data I/O, and showed sc... 详细信息

ISBN: (纸本)9781450383981

关键词： operating system file system

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Data Sharing Enabled through Internet of things (IoT) in Wireless Communication Networks 6

Data Sharing Enabled Through Internet of Things (IoT) in Wir...

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6th International conference on Contemporary Computing and Informatics, IC3I 2023

作者： Shukla, Aasheesh Pundir, Sumit Rao, A Kakoli Shalini, N. Akhil Kumar, Rohit Rana, Ajay GLA University Computer Engineering and Applications Mathura India Graphic Era University Department of Computer Science & Engineering Dehradun India Lloyd Institute of Engineering and Technology Greater Noida India Institute of Aeronautical Engineering Department of Computer Science and Engineering Hyderabad India Lloyd Law College Greater Noida India Lloyd Institute of Management and Technology Greater Noida India Amity University Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350304480

A variety of difficulties while attempting to transmit a file including multimedia data through the many peers of a wireless IoT network. the system's centralization, which increases the risk of a security breach and makes it harder for users to access their information, is one of the biggest issues. It would be possible to address the issues with security and user accessibility, but doing so would forfeit scalability, low latency, and lengthy response times. the project in issue uses the Interplanetary file System and an original block chain approach as a direct result of this. Additionally, we discussed the system's workings and the ideas that led to its development. this research looks at a broad range of uses for economic and pricing models, which are often known as methods for intelligent, logical decision-making. Building adaptive protocols and algorithms that are designed expressly for use with WSNs is the ultimate objective of this study. Our objective is to create an atmosphere that inspires smartphone users to engage. the findings show that SATS has the potential to lower communication and computation costs, enabling it to provide affordable data transfer. the SATS system's calculation costs are as follows: AN: 14%, 23%, and 59%;Fog-Node: 6.5%,21.5%, and 51%;and Sensor Node and AN: 6%, 3%, and 4%, respectively. this is a reasonable price when compared to the costs of PPDAS, IDAP, and ASAS, which are 14%, 23%, and 59%, respectively. According to the findings, the suggested SATS has a greater storage capacity, lower computation costs, lower communication costs, and more effective energy utilization when compared to other systems that belong to the same category. When compared to other existing systems. © 2023 IEEE.

关键词： Communication technologies Crowdsensing Network Internet of things Smart Devices Wireless Sensor Networks

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A study of SSD reliability in large scale enterprise storage deployments 18

A study of SSD reliability in large scale enterprise storage...

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18th usenix conference on file and storage technologies, FAST 2020

作者： Maneas, Stathis Mahdaviani, Kaveh Emami, Tim Schroeder, Bianca University of Toronto NetApp

ISBN: (纸本)9781939133120

this paper presents the first large-scale field study of NAND-based SSDs in enterprise storage systems (in contrast to drives in distributed data center storage systems). the study is based on a very comprehensive set of field data, covering 1.4 million SSDs of a major storage vendor (NetApp). the drives comprise three different manufacturers, 18 different models, 12 different capacities, and all major flash technologies (SLC, cMLC, eMLC, 3D-TLC). the data allows us to study a large number of factors that were not studied in previous works, including the effect of firmware versions, the reliability of TLC NAND, and correlations between drives within a RAID system. this paper presents our analysis, along with a number of practical implications derived from it. Copyright © Proc. of the 18th usenix conference on file and storage Tech., FAST 2020. All rights reserved.

关键词： Firmware

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Quiver: An informed storage cache for deep learning 18

Quiver: An informed storage cache for deep learning

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18th usenix conference on file and storage technologies, FAST 2020

作者： Kumar, Abhishek Vijaya Sivathanu, Muthian Microsoft Research India

ISBN: (纸本)9781939133120

We introduce Quiver, an informed storage cache for deep learning training (DLT) jobs in a cluster of GPUs. Quiver employs domain-specific intelligence within the caching layer, to achieve much higher efficiency compared to a generic storage cache. First, Quiver uses a secure hash-based addressing to transparently reuse cached data across multiple jobs and even multiple users operating on the same dataset. Second, by codesigning with the deep learning framework (e.g., PyTorch), Quiver employs a technique of substitutable cache hits to get more value from the existing contents of the cache, thus avoiding cache thrashing when cache capacity is much smaller than the working set. third, Quiver dynamically prioritizes cache allocation to jobs that benefit the most from the caching. With a prototype implementation in PyTorch, we show that Quiver can significantly improve throughput of deep learning workloads. Copyright © Proc. of the 18th usenix conference on file and storage Tech., FAST 2020. All rights reserved.

关键词： Program processors

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GIFT: A coupon based throttle-and-reward mechanism for fair and efficient I/O Bandwidth management on parallel storage systems 18

GIFT: A coupon based throttle-and-reward mechanism for fair ...

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18th usenix conference on file and storage technologies, FAST 2020

作者： Patel, Tirthak Garg, Rohan Tiwari, Devesh Northeastern University Nutanix

ISBN: (纸本)9781939133120

Large-scale parallel applications are highly data-intensive and perform terabytes of I/O routinely. Unfortunately, on a large-scale system where multiple applications run concurrently, I/O contention negatively affects system efficiency and causes unfair bandwidth allocation among applications. To address these challenges, this paper introduces GIFT, a principled dynamic approach to achieve fairness among competing applications and improve system efficiency. Copyright © Proc. of the 18th usenix conference on file and storage Tech., FAST 2020. All rights reserved.

关键词： Large scale systems

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PERSEUS: a fail-slow detection framework for cloud storage systems 23

PERSEUS: a fail-slow detection framework for cloud storage s...

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proceedings of the 21st usenix conference on file and storage technologies

作者： Ruiming Lu Erci Xu Yiming Zhang Fengyi Zhu Zhaosheng Zhu Mengtian Wang Zongpeng Zhu Guangtao Xue Jiwu Shu Minglu Li Jiesheng Wu Shanghai Jiao Tong University Alibaba Inc. Xiamen University Shanghai Jiao Tong University and Zhejiang Normal University

ISBN: (纸本)9781939133328

the newly-emerging "fail-slow" failures plague both software and hardware where the victim components are still functioning yet with degraded performance. To address this problem, this paper presents PERSEUS, a practical fail-slow detection framework for storage devices. PERSEUS leverages a light regression-based model to fast pinpoint and analyze fail-slow failures at the granularity of drives. Within a 10- month close monitoring on 248K drives, PERSEUS managed to find 304 fail-slow cases. Isolating them can reduce the (node-level) 99.99th tail latency by 48%. We assemble a large-scale fail-slow dataset (including 41K normal drives and 315 verified fail-slow drives) from our production traces, based on which we provide root cause analysis on fail-slow drives covering a variety of ill-implemented scheduling, hardware defects, and environmental factors. We have released the dataset to the public for fail-slow study

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