2016 32nd Symposium on Mass Storage Systems and Technologies (MSST)最新文献_第2页

Understanding storage I/O behaviors of mobile applications 了解移动应用程序的存储I/O行为

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897092

Jace Courville, F. Chen

{"title":"Understanding storage I/O behaviors of mobile applications","authors":"Jace Courville, F. Chen","doi":"10.1109/MSST.2016.7897092","DOIUrl":"https://doi.org/10.1109/MSST.2016.7897092","url":null,"abstract":"In the past few years, mobile devices quickly gained high popularity in our daily life. Designed for ultra-mobility, these small yet powerful devices are fundamentally distinct from traditional computer systems (e.g., PCs and servers) - from the internal hardware architecture and software stack, to application behaviors. Storage, the slowest component in the I/O stack, plays an important role in mobile systems and can greatly affect user experience. In this paper, we present a set of comprehensive experimental studies on mobile storage and attempt to gain insight on the unique behaviors of mobile applications and characterize the performance properties of underlying mobile storage. In our experiments, we carefully selected 13 representative mobile workloads from 5 different categories. Our studies reveal several unexpected observations on mobile storage. Based on these findings, we further discuss the associated implications to mobile systems and application designers. We hope this work can inspire system architects, application designers, and practitioners to pay specific attention to the high-latency I/O operations, rather than completely relying on the default APIs. We also suggest a further look to new opportunities, such as adopting a faster medium in the mobile system architecture, for future research.","PeriodicalId":299251,"journal":{"name":"2016 32nd Symposium on Mass Storage Systems and Technologies (MSST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129379652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Exploiting latency variation for access conflict reduction of NAND flash memory 利用延迟变化减少NAND快闪记忆体存取冲突

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897088

Jinhua Cui, Weiguo Wu, Xingjun Zhang, Jianhang Huang, Yinfeng Wang

引用次数: 12

Sorted deduplication: How to process thousands of backup streams 排序重复数据删除:如何处理数千个备份流

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897082

J. Kaiser, Tim Süß, Lars Nagel, A. Brinkmann

引用次数: 10

Pfimbi: Accelerating big data jobs through flow-controlled data replication Pfimbi:通过流控数据复制加速大数据作业

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897074

Simbarashe Dzinamarira, Florin Dinu, T. Ng

引用次数: 2

Tombolo: Performance enhancements for cloud storage gateways Tombolo:云存储网关的性能增强

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897076

Suli Yang, Kiran Srinivasan, K. Udayashankar, S. Krishnan, J. Feng, Yupu Zhang, A. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau

引用次数: 13

Analytic models for flash-based SSD performance when subject to trimming 基于闪存的固态硬盘性能分析模型

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897086

Robin Verschoren, B. V. Houdt

{"title":"Analytic models for flash-based SSD performance when subject to trimming","authors":"Robin Verschoren, B. V. Houdt","doi":"10.1109/MSST.2016.7897086","DOIUrl":"https://doi.org/10.1109/MSST.2016.7897086","url":null,"abstract":"Garbage collection is known to have a profound impact on SSD performance as it strongly influences the write amplification. Another key value that impacts the write amplification is the amount of over-provisioning, which lowers the write amplification at the cost of reducing the user-visible storage capacity. Write amplification occurs as the valid pages that remain on a block selected by garbage collection need to be copied to a free block before an erasure can take place. Some of these valid pages may however belong to a deleted file and therefore copying them is redundant. To avoid copying deleted data, the operating system can issue a Trim command to invalidate pages whenever a file is deleted. Prior analytical studies on the write amplification in SSDs assumed that no trimming takes place. In this paper we generalize a number of mean field models to assess the impact of trimming on the write amplification. Using these models we argue that the write amplification in a (large) system with trimming can be determined by analyzing a system without trimming that uses a larger over-provisioning factor (and modified hot fraction, in case of hot and cold data). Using numerical results we further show that trimming cold data results in a more significant reduction in the write amplification compared to trimming hot data.","PeriodicalId":299251,"journal":{"name":"2016 32nd Symposium on Mass Storage Systems and Technologies (MSST)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132303196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

HMVFS: A Hybrid Memory Versioning File System HMVFS:一个混合内存版本文件系统

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897079

Shengan Zheng, Linpeng Huang, H. Liu, L. Wu, Jin-hua Zha

引用次数: 24

Fine-grained metadata journaling on NVM 在NVM上进行细粒度元数据日志记录

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 2016-05-02 DOI: 10.1109/MSST.2016.7897077

Cheng Chen, Jun Yang, Q. Wei, Chundong Wang, Mingdi Xue

{"title":"Fine-grained metadata journaling on NVM","authors":"Cheng Chen, Jun Yang, Q. Wei, Chundong Wang, Mingdi Xue","doi":"10.1109/MSST.2016.7897077","DOIUrl":"https://doi.org/10.1109/MSST.2016.7897077","url":null,"abstract":"Journaling file systems have been widely used where data consistency must be assured. However, we observed that the overhead of journaling can cause up to 48.2% performance drop under certain kinds of workloads. On the other hand, the emerging high-performance, byte-addressable Non-volatile Memory (NVM) has the potential to minimize such overhead by being used as the journal device. The traditional journaling mechanism based on block devices is nevertheless unsuitable for NVM due to the write amplification of metadata journal we observed. In this paper, we propose a fine-grained metadata journal mechanism to fully utilize the low-latency byte-addressable NVM so that the overhead of journaling can be significantly reduced. Based on the observation that conventional block-based metadata journal contains up to 90% clean metadata that is unnecessary to be journalled, we design a fine-grained journal format for byte-addressable NVM which contains only modified metadata. Moreover, we redesign the process of transaction committing, checkpointing and recovery in journaling file systems utilizing the new journal format. Therefore, thanks to the reduced amount of ordered writes to NVM, the overhead of journaling can be reduced without compromising the file system consistency. Experimental results show that our NVM-based fine-grained metadata journaling is up to 15.8× faster than the traditional approach under FileBench workloads.","PeriodicalId":299251,"journal":{"name":"2016 32nd Symposium on Mass Storage Systems and Technologies (MSST)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123685087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 42

File system trace replay methods through the lens of metrology 文件系统跟踪重播方法通过镜头计量

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 1900-01-01 DOI: 10.1109/MSST.2016.7897090

T. Pereira, F. Brasileiro, Lívia M. R. Sampaio

{"title":"File system trace replay methods through the lens of metrology","authors":"T. Pereira, F. Brasileiro, Lívia M. R. Sampaio","doi":"10.1109/MSST.2016.7897090","DOIUrl":"https://doi.org/10.1109/MSST.2016.7897090","url":null,"abstract":"There are various methods to evaluate the performance of file systems through the replay of file system traces. Despite this diversity, little attention was given on comparing the alternatives, thus bringing some skepticism about the results attained using these methods. In this paper, to fill this understanding gap, we analyze two popular trace replay methods through the lens of metrology. This case study indicates that the evaluated methods provide similar, good precision but are biased in some scenarios. Our results identified limitations in the implementation of the replay tool as well as flaws in the established practices to experiment with trace replayers as the root causes of the measurement bias. After improving the implementation of the trace replayer and discarding inappropriate experimental practices, we were able to reduce the bias, leading to lower measurement uncertainty. Finally, our case study also shows that, in some cases, collecting only the file system activity is not enough to accurately replay the traces; in these cases, collecting resource consumption information, such as the amount of allocated memory, can improve the quality of trace replay methods.","PeriodicalId":299251,"journal":{"name":"2016 32nd Symposium on Mass Storage Systems and Technologies (MSST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131225347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Adaptive policies for balancing performance and lifetime of mixed SSD arrays through workload sampling 通过工作负载采样平衡混合SSD阵列性能和生存期的自适应策略

2016 32nd Symposium on Mass Storage Systems and Technologies (MSST) Pub Date : 1900-01-01 DOI: 10.1109/MSST.2016.7897084

Sangwhan Moon, A. Reddy

引用次数: 2