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hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020

HotStorage 2020 - 12th USENIX Workshop on Hot Topics in Stor...

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

the proceedings contain 26 papers. the topics discussed include: a new LSM-style garbage collection scheme for ZNS SSDs;ultra-low latency SSDs impact on overall energy efficiency;need for a deeper cross-layer optimization for dense NAND SSD to improve read performance of big data applications: a case for melded pages;say goodbye to off-heap caches! on-heap caches using memory-mapped I/O;differentiating cache files for fine-grain management to improve mobile performance and lifetime;desperately seeking ... optimal multi-tier cache configurations;reinforcement learning-based SLC cache technique for enhancing SSD write performance;SelectiveEC: selective reconstruction in erasure-coded storage systems;and rethinking WOM codes to enhance the lifetime in new SSD generations.

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Could cloud storage be disrupted in the next decade? 12

Could cloud storage be disrupted in the next decade?

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Chatzieleftheriou, Andromachi Stefanovici, Ioan Narayanan, Dushyanth thomsen, Benn Rowstron, Antony Microsoft Research

If you were asked today "What are the three dominant persistent storage technologies used in the cloud in 2020?", you would probably answer HDD, flash and tape. If you were asked this question in 2010 you would have probably answered HDD, flash and tape. Will this answer change when you are asked this question in 2030?. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： file organization

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Designing a storage software stack for accelerators 12

Designing a storage software stack for accelerators

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Awamoto, Shinichi Focht, Erich Honda, Michio NEC Labs Europe NEC Deutschland Germany IIJ University of Edinburgh United Kingdom

Although modern accelerator devices, such as vector engines and SmartNICs, are equipped with general purpose CPUs, access to the storage needs the mediation of the host kernel and CPUs, resulting in latency and throughput penalties. In this paper, we explore the case for direct storage access inside the accelerator applications, and discuss the problem, design options and benefits of this architecture. We demonstrate that our architecture can improve throughputs of LevelDB by 12-89%, and reduce the execution time by 33-46 % in a bioinformatics application in comparison to the baseline where the host system mediates the storage accesses. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： file organization

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A file system for safely interacting with untrusted USB flash drives 12

A file system for safely interacting with untrusted USB flas...

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Zhong, Ke Jiang, Zhihao Ma, Ke Angel, Sebastian University of Pennsylvania United States Shanghai Jiao Tong University China

this paper introduces RBFuse, a system for interacting with USB flash drives safely in commodity OSes while bypassing the complex and bug-prone USB stack on the host. RBFuse prevents attacks in which malicious USB flash drives exploit low-level USB driver vulnerabilities to compromise the host machine. the simple idea behind RBFuse is to remap the USB stack to a virtual machine and export the flash drive's file system as a mountable virtual file system. the result of this decomposition is that the host can access all the files in the flash drive without speaking USB. this is beneficial from a security standpoint, since the VFS interface is small, has well-defined semantics, and can be formally verified. RBFuse requires no hardware modifications and introduces low overhead. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： Semantics

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Processing in storage class memory 12

Processing in storage class memory

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Nider, Joel Mustard, Craig Fedorova, Alexandra Zoltan, Andrada University of British Columbia Canada

storage and memory technologies are experiencing unprecedented transformation. storage-class memory (SCM) delivers near-DRAM performance in non-volatile storage media and became commercially available in 2019. Unfortunately, software is not yet able to fully benefit from such high-performance storage. Processing-in-memory (PIM) aims to overcome the notorious memory wall;at the time of writing, hardware is close to being commercially available. this paper takes a position that PIM will become an integral part of future storage-class memories, so data processing can be performed in-storage, saving memory bandwidth and CPU cycles. Under that assumption, we identify typical data-processing tasks poised for in-storage processing, such as compression, encryption and format conversion. We present evidence supporting our assumption and present some feasibility experiments on new PIM hardware to show the potential. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： Dynamic random access storage

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In support of workload-aware streaming state management 12

In support of workload-aware streaming state management

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Kalavri, Vasiliki Liagouris, John Boston University United States Hariri Institute for Computing

Modern distributed stream processors predominantly rely on LSM-based key-value stores to manage the state of long-running computations. We question the suitability of such general-purpose stores for streaming workloads and argue that they incur unnecessary overheads in exchange for state management capabilities. Since streaming operators are instantiated once and are long-running, state types, sizes, and access patterns, can either be inferred at compile time or learned during execution. this paper surfaces the limitations of established practices for streaming state management and advocates for configurable streaming backends, tailored to the state requirements of each operator. Using workload-aware state management, we achieve an order of magnitude improvement in p99 latency and 2x higher throughput. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： file organization

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Understanding and finding crash-consistency bugs in parallel file systems 12

Understanding and finding crash-consistency bugs in parallel...

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Sun, Jinghan Wang, Chen Huang, Jian Snir, Marc University of Illinois at Urbana-Champaign United States

Parallel file systems (PFSes) and parallel I/O libraries have been the backbone of high-performance computing (HPC) infrastructures for decades. However, their crash consistency bugs have not been extensively studied, and the corresponding bug-finding or testing tools are lacking. In this paper, we first conduct a thorough bug study on the popular PFSes, such as BeeGFS and OrangeFS, with a cross-stack approach that covers HPC I/O library, PFS, and interactions with local file systems. the study results drive our design of a scalable testing framework, named PFSCHECK. PFSCHECK is easy to use with low performance overhead, as it can automatically generate test cases for triggering potential crash-consistency bugs, and trace essential file operations with low overhead. PFSCHECK is scalable for supporting large-scale HPC clusters, as it can exploit the parallelism to facilitate the verification of persistent storage states. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： Program debugging

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the case for benchmarking control operations in cloud native storage 12

The case for benchmarking control operations in cloud native...

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Merenstein, Alex Tarasov, Vasily Anwar, Ali Bhagwat, Deepavali Rupprecht, Lukas Skourtis, Dimitris Zadok, Erez Stony Brook University United States IBM Research-Almaden

storage benchmarking tools and methodologies today suffer from a glaring gap-they are incomplete because they omit storage control operations, such as volume creation and deletion, snapshotting, and volume reattachment and resizing. Control operations are becoming a critical part of cloud storage systems, especially in containerized environments like Kubernetes, where such operations can be executed by regular non-privileged users. While plenty of tools exist that simulate realistic data and metadata workloads, control operations are largely overlooked by the community and existing storage benchmarks do not generate control operations. therefore, for cloud native environments, modern storage benchmarks fall short of serving their main purpose-holistic and realistic performance evaluation. Different storage provisioning solutions implement control operations in different ways, which means we need a unified storage benchmark to contrast and comprehend their performance and expected behaviors. In this position paper, we motivate the need for a cloud native storage benchmark by demonstrating the effect of control operations on storage provisioning solutions and workloads. We identify the challenges and requirements when implementing such benchmark and present our initial ideas for its design. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： Benchmarking

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Can we store the whole world's data in DNA storage? 12

Can we store the whole world's data in DNA storage?

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Li, Bingzhe Song, Nae Young Ou, Li Du, David H.C. Department of Computer Science and Engineering University of Minnesota Twin Cities United States Department of Pediatrics University of Minnesota Twin Cities United States

the total amount of data in the world has been increasing rapidly. However, the increase of data storage capacity is much slower than that of data generation. How to store and archive such a huge amount of data becomes critical and challenging. Synthetic Deoxyribonucleic Acid (DNA) storage is one of the promising candidates with high density and long-term preservation for archival storage systems. the existing works have focused on the achievable feasibility of a small amount of data when using DNA as storage. In this paper, we investigate the scalability and potentials of DNA storage when a huge amount of data, like all available data from the world, is to be stored. First, we investigate the feasible storage capability that can be achieved in a single DNA pool/tube based on current and future technologies. then, the indexing of DNA storage is explored. Finally, the metadata overhead based on future technology trends is also investigated. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： DNA

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Re-think data management software design upon the arrival of storage hardware with built-in transparent compression 12

Re-think data management software design upon the arrival of...

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12th usenix Workshop on hot topics in storage and file systems, hotstorage 2020, co-located withusenix ATC 2020

作者： Zheng, Ning Chen, Xubin Li, Jiangpeng Wu, Qi Liu, Yang Peng, Yong Sun, Fei Zhong, Hao Zhang, Tong ScaleFlux Inc. RPI

this position paper advocates that storage hardware with built-in transparent compression brings new opportunities to innovate data storage management software (e.g., database and filesystem). Modern storage appliances (e.g., all-flash array) and some latest SSDs (solid-state drives) can perform data compression transparently from OS and user applications. Such storage hardware decouples logical storage space utilization efficiency from physical storage space utilization efficiency. this allows data storage management software intentionally waste logical storage space in return for employing simpler data structures, leading to lower implementation complexity and higher performance. Following this theme, we carried out three preliminary case studies in the context of relational database and key-value (KV) store. Initial experimental results well demonstrate the promising potential, and it is our hope that this preliminary study will attract more interest towards exploring this new research area. © hotstorage 2020 - 12th usenix Workshop on hot topics in storage and file systems, co-located with usenix ATC 2020. All rights reserved.

关键词： Software design

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