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SWANS

NAND flash memory–based solid state disks (SSDs) have been widely used in enterprise servers. However, flash memory has limited write endurance, as a block becomes unreliable after a finite number of program/erase cycles. Existing wear-leveling techniques are essentially intradisk data distribution schemes, as they can only even wear out... (more)

Does RAID Improve Lifetime of SSD Arrays?

Parity protection at the system level is typically employed to compose reliable storage systems. However, careful consideration is required when SSD-based systems employ parity protection. First, additional writes are required for parity updates. Second, parity consumes space on the device, which results in write amplification from less efficient... (more)

H-Scale

To satisfy the explosive growth of data in large-scale data centers, where redundant arrays of independent disks (RAIDs), especially RAID-5, are widely deployed, effective storage scaling and disk expansion methods are desired. However, a way to reduce the data migration overhead and maintain the reliability of the original RAID are major concerns... (more)

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Forthcoming Articles
Efficient Deduplication in a Distributed Primary Storage Infrastructure

A large amount of duplicate data typically exists across volumes of virtual machines in cloud computing infrastructures. Deduplication allows reclaiming these duplicates while improving the cost-effectiveness of large scale multi-tenant infrastructures. However, traditional archival and backup deduplication systems impose prohibitive storage overhead for virtual machines hosting latency-sensitive applications. Primary deduplication systems reduce such penalty but rely on special cluster filesystems, centralized components, or restrictive workload assumptions. Also, some of these systems reduce storage overhead by confining deduplication to off-peak periods that, may be scarce in a cloud environment. We present DEDIS, a dependable and fully-decentralized system that performs cluster-wide background deduplication of virtual machines primary volumes. DEDIS works on top of any unsophisticated storage backend, centralized or distributed, as long as it exports a basic shared block device interface. Also, DEDIS does not rely on data locality assumptions and incorporates novel optimizations for reducing deduplication overhead and increasing its reliability. The evaluation of DEDIS open-source prototype shows that minimal I/O overhead is achievable even when deduplication and intensive storage I/O are executed simultaneously. Also, our design scales out and allows collocating DEDIS components and virtual machines in the same servers thus, sparing the need of additional hardware.

LDM: Log Disk Mirroring with Improved Performance and Reliability for SSD-based Disk Arrays

Economic forces, driven by the desire to introduce flash-based Solid State Drives (SSDs) into the high-end storage market have resulted in the hybrid storage systems in the Cloud. However, A single flash-based (SSD) can not satisfy the performance, reliability and capacity requirements of enterprise or HPC storage systems in the Cloud. While an array of SSDs organized in a RAID structure, such as RAID5, provides the potential for high storage capacity and bandwidth, the reliability and performance problems will likely result from the parity update operations. In this paper, we propose a Log Disk Mirroring scheme (short for LDM) to improve the performance and reliability of SSD-based disk arrays. LDM is a hybrid disk array architecture that consists of several SSDs and two hard disk drives (HDDs). Our prototype implementation of the LDM array and the performance evaluations show that LDM array significantly outperforms the pure SSD-based disk arrays by a factor of 20.4 on average, and outperforms HPDA by a factor of 5.0 on average. The reliability analysis shows that the MTTDL of the LDM array is 2.7 times and 1.7 times better than that of pure SSD-based disk arrays and HPDA disk array.

Efficient Memory-mapped I/O on Fast Storage Device

In operating systems, memory-mapped I/O (mmio) is an important access method that maps data to a memory. When mmio is used, hot data reside in the memory and clod data do in storage device, and data placement depends on the virtual memory subsystem of the operating system. Since the performance of storage has a direct impact on the performance of mmio, it is widely expected that better storage will lead to better performance. However, the expectation is limited when fast storage is used because the virtual memory subsystem does not reflect the feature of fast storage. In this article, we examine the mmio path to determine the influence of fast storage. We find that the overhead of the virtual memory subsystem, negligible on the HDD, prevents applications from using the full performance of fast storage. We present several optimization techniques and modify the Linux kernel to implement those techniques. Experimental results show that our optimized mmio has up to 7x better performance that the original. Compared with a system that has enough memory to keep all data, we achieve 92% performance of the resource-rich system. This implies that our system can effectively extend the main memory with fast storage.

Tools for Predicting the Reliability of Large Scale Storage Systems

Data intensive applications require extreme scaling of their underlying storage systems. Such scaling, together with the fact that storage systems must be implemented in actual data centers, increases the risk of data loss from failures of underlying components. Accurate engineering requires quantitatively predicting reliability, but this remains challenging, due to the need to account for extreme scale, redundancy scheme type and strength, distribution architecture, and component dependencies. This paper introduces CQSim-R, a tool suite for predicting the reliability of large scale storage system designs and deployments. CQSim-R includes (a) direct calculations based on an only-drives-fail failure model and (b) an event-based simulator for detailed prediction that handles failures of and failure dependencies among arbitrary (drive or non-drive) components. These are based on a common combinatorial framework for modeling placement strategies. The paper demonstrates CQSim-R using models of common storage systems, including replicated and erasure coded designs. New results, such as the poor reliability scaling of spread-placed systems and a quantification of the impact of data center distribution and rack-awareness on reliability, demonstrate the usefulness and generality of the tools. Analysis and empirical studies show the tools' soundness, performance, and scalability.

TrueErase: Leveraging an Auxiliary Data Path for Per-file Secure Deletion

One important aspect of privacy is the ability to securely delete sensitive data from electronic storage in such a way that it cannot be recovered; we call this action secure deletion. Short of physically destroying the entire storage medium, existing software secure-deletion solutions tend to be piecemeal at best  they may only work for one type of storage or file system, may force the user to delete all files instead of selected ones, may require the added complexities of encryption and key storage, may require extensive changes and additions to the computers operating system or storage firmware, and may not handle system crashes gracefully. We present TrueErase, a holistic secure-deletion framework for individual systems that contain sensitive data. Through design, implementation, verification, and evaluation on both a hard drive and NAND flash, TrueErase shows that it is possible to construct a per-file, secure-deletion framework that can accommodate different storage media and legacy file systems, require limited changes to legacy systems, and handle common crash scenarios. TrueErase can serve as a building block by cryptographic systems that securely delete information by erasing encryption keys. The overhead is dependent on spatial locality, number of sensitive files, and workload (computational- or I/O-bound).

A User-Friendly Log Viewer for Storage Systems

For customers with remote support, the system collects and transmits logs to a central enterprise repository, where these are monitored for alerts, problem forecasting and troubleshooting. Very large log files limit the interpretability for the support engineers. For an engineer, a large volume of log messages may not pose any problem. Often it is desired to present the log messages in a comprehensive manner where a person can view the important messages first and then go into details if required. In this paper, we present a user-friendly log viewer where we first hide the unimportant messages from the log file. Messages with low utility are considered inconsequential as their removal does not impact the end user for the aforesaid purpose such as problem forecasting or troubleshooting. We relate the utility of a message to the probability of its appearance in the due context. We present machine learning based techniques that computes the usefulness of individual messages in a log file. (30% to 55%), with minimal error rates ( 7% to 20%). When limited user feedback is available, we show modifications to the technique to learn the user intent and accordingly further reduce the error.

Bibliometrics

Publication Years 2005-2016
Publication Count 192
Citation Count 1221
Available for Download 192
Downloads (6 weeks) 1704
Downloads (12 Months) 13438
Downloads (cumulative) 128543
Average downloads per article 669
Average citations per article 6
First Name Last Name Award
Emery David Berger ACM Senior Member (2010)
Surendar Chandra ACM Senior Member (2009)
Deborah Estrin ACM-W Athena Lecturer Award (2006)
Gregory Ganger ACM Distinguished Member (2007)
Garth A Gibson ACM Doctoral Dissertation Award
Series Winner (1991) ACM Doctoral Dissertation Award
Series Winner (1991)
John Heidemann ACM Senior Member (2007)
Ethan L Miller ACM Distinguished Member (2013)
Walid Najjar ACM Distinguished Member (2015)
ACM Senior Member (2014)
Stefan Savage ACM-Infosys Foundation Award in the Computing Sciences (2015)
Anand Sivasubramaniam ACM Distinguished Member (2010)
ACM Senior Member (2009)
Gene Tsudik ACM Senior Member (2013)
David Wagner ACM Doctoral Dissertation Award
Honorable Mention (2001) ACM Doctoral Dissertation Award
Honorable Mention (2001)
Randy Wang ACM Eugene L. Lawler Award for Humanitarian Contributions within Computer Science and Informatics (2007)
Tao Xie ACM Distinguished Member (2015)
ACM Senior Member (2011)
Yuanyuan Zhou ACM Distinguished Member (2011)

First Name Last Name Paper Counts
Andrea Arpaci-Dusseau 9
Youjip Won 6
Teiwei Kuo 6
Erez Zadok 6
Ethan Miller 6
Remzi Arpaci-Dusseau 5
Raju Rangaswami 4
Bianca Schroeder 4
Remzi Arpaci-Dusseau 4
Jiwu Shu 4
Charles Wright 4
Randal Burns 4
Weimin Zheng 4
Xiao Qin 4
Dan Feng 4
Lidong Zhou 3
Cheng Chen 3
Hyeonsang Eom 3
Youngjin Yu 3
Hong Jiang 3
Darrell Long 3
Stergios Anastasiadis 3
Yuanhao Chang 3
Jenwei Hsieh 3
James Cipar 3
Song Jiang 3
Vijayan Prabhakaran 3
Qingsong Wei 3
Guangyan Zhang 3
Lipin Chang 3
Ilias Iliadis 3
Heonyoung Yeom 3
Yuanyuan Zhou 3
Jianxi Chen 3
Narasimha Reddy 3
Hyokyung Bahn 3
Nitin Agrawal 3
Ohad Rodeh 3
Ahmed Amer 2
Tao Xie 2
Jeffrey Chase 2
Erik Riedel 2
Taeho Hwang 2
Jaemin Jung 2
Eunji Lee 2
Scott Brandt 2
Wei Xue 2
Evangelos Eleftheriou 2
Xiaoyu Hu 2
Changsheng Xie 2
Kiran Muniswamy-Reddy 2
Nikolai Joukov 2
Chinhsien Wu 2
Ashvin Goel 2
Mark Storer 2
Suzhen Wu 2
Mahmut Kandemir 2
Fred Douglis 2
Shu Yin 2
Gopalan Sivathanu 2
Alma Riska 2
Daniel Fryer 2
Angela Brown 2
Arkady Kanevsky 2
Chris Dragga 2
Darrell Long 2
Mario Blaum 2
Adam Manzanares 2
William Bolosky 2
An Wang 2
Gene Tsudik 2
Bo Hong 2
Anand Sivasubramaniam 2
Xiaoning Ding 2
Yuehai Xu 2
Sudhanva Gurumurthi 2
Peter Desnoyers 2
Ali Tosun 2
Xiaojun Ruan 2
Peter Reiher 2
Geoff Kuenning 2
Jongmin Gim 2
Eitan Bachmat 2
Zhenmin Li 2
John MacCormick 2
Kyuho Park 2
André Brinkmann 2
Swaminathan Sundararaman 2
Sriram Subramanian 2
Dongin Shin 2
Bo Mao 2
Lei Tian 2
Patrick Lee 2
Gregory Ganger 2
Roger Zimmermann 2
Lars Nagel 1
Michael Bender 1
Abutalib Aghayev 1
Ao Ma 1
Mark Chamness 1
Leo Arulraj 1
Einar Mykletun 1
Mahesh Balakrishnan 1
Weikeng Liao 1
Josef Bacik 1
Sooyong Kang 1
Deepak Bobbarjung 1
Seokhei Cho 1
Walid Najjar 1
Pieter Hartel 1
Windsor Hsu 1
John Heidemann 1
Xiaodong Li 1
Kimberly Keeton 1
Kaushik Veeraraghavan 1
Phillipa Gill 1
Ricardo Koller 1
Lingfang Zeng 1
Chandramohan Thekkath 1
Kirsten Hildrum 1
Philip Yu 1
Ron Arnan 1
Seonho Kim 1
Zhen Huang 1
Eno Thereska 1
Hyojun Kim 1
Lakshmi Bairavasundaram 1
David Wagner 1
Dilma Silva 1
Haifeng Yu 1
Venugopalan Ramasubramanian 1
James Plank 1
Jin Li 1
Radu Sion 1
Anton Kos 1
Veljko Milutinovic 1
Kanchi Gopinath 1
Xiao Qin 1
Nguyen Tran 1
Frank Chiang 1
Yulai Xie 1
Kaiwei Li 1
Christina Strong 1
Bradley Kuszmaul 1
Asim Kadav 1
Xiaosong Ma 1
Stephen Scott 1
Hyungkyu Chang 1
Sukwoo Kang 1
Sheng Qiu 1
Soyoon Lee 1
Sanjeev Trika 1
Tsansheng Hsu 1
Weikuan Shih 1
Debra Hensgen 1
Mark Huang 1
Edmund Nightingale 1
Vasily Tarasov 1
Pochun Huang 1
Picheng Hsiu 1
Rohit Jain 1
Joel Wolf 1
Kevin Harms 1
William Allcock 1
Yubiao Pan 1
Clement Dickey 1
Ernst Biersack 1
Weihang Jiang 1
Phung Huynh 1
Amin Vahdat 1
Changxun Wu 1
Aichun Pang 1
Junfeng Yang 1
Hyunjin Choi 1
Jaewoo Choi 1
Ningfang Mi 1
Vagelis Hristidis 1
Cheng Huang 1
Gaewon You 1
Jasna Milovanovic 1
Jaka Sodnik 1
Sara Stancin 1
Jianzhong Huang 1
Jinyang Li 1
Jiwu Shu 1
Fan Yang 1
Weishinn Ku 1
Douglas Santry 1
Stephanie Jones 1
Wonil Choi 1
Yang Zhan 1
Mansour Shafaei 1
Gerardo Pelosi 1
Lee Ward 1
Jin Qian 1
Jianhong Lin 1
Dahlia Malkhi 1
Jonathan Strickland 1
Junseok Shim 1
Gokhan Memik 1
Kei Davis 1
Cezary Dubnicki 1
Sungroh Yoon 1
Tsengyi Chen 1
Avishay Traeger 1
Shaun Benjamin 1
Chunghsien Wu 1
Geming Chiu 1
Ian Adams 1
Lars Bongo 1
Sugata Ghosal 1
Kristof Roomp 1
Lisa Fleischer 1
Hong Zhu 1
Ruben Michel 1
Philip Carns 1
Charles Bacon 1
Runhui Li 1
Michael Kozuch 1
Chongfeng Hu 1
Austin Donnelly 1
Dan Tsafrir 1
Ajay Dholakia 1
Zoran Dimitrijević 1
Klaus Schauser 1
Nick Murphy 1
Dongin Shin 1
Evgenia Smirni 1
Kaladhar Voruganti 1
Ao Ma 1
Lanyue Lu 1
Chunho Ng 1
Ragib Hasan 1
David Holland 1
Michael Vrable 1
Geoffrey Voelker 1
Alexandros Batsakis 1
Yungfeng Lu 1
Sašo Tomažič 1
Randolph Wang 1
Keqin Li 1
Sriram Sankar 1
Alysson Bessani 1
Miguel Correia 1
Enhong CHEN 1
Zhichao Li 1
Matthias Grawinkel 1
Ellis Wilson 1
John Shalf 1
Donald Porter 1
Rob Johnson 1
Yizheng Jiao 1
Sara Foresti 1
Pierangela Samarati 1
Windsor Hsu 1
Yao Sun 1
Yangwook Kang 1
Tom Friedetzky 1
Toni Cortes 1
Anthony Skjellum 1
Satoshi Sugahara 1
Rakesh Iyer 1
Jian Zhang 1
Suresh Jagannathan 1
Jongmoo Choi 1
Dimitrios Gunopulos 1
Jeanna Matthews 1
Hsinwen Wei 1
Hyungjong Shin 1
Mohammed Khatib 1
Rahat Mahmood 1
Sarita Adve 1
Michail Flouris 1
Abhishek Rajimwale 1
Michael Swift 1
Kai Li 1
Priya Sehgal 1
Chengkang Hsieh 1
Akshay Katta 1
David Quigley 1
Puja Gupta 1
Michael Stumm 1
Samuel Lang 1
Lawrence Chiu 1
Lianghong Xu 1
Dinh Tran 1
Joseph Murray 1
Armando Fox 1
Andrew Huang 1
Feng Chen 1
Mary Baker 1
Ming Li 1
Lei Tian 1
Gyudong Shim 1
Youngwoo Park 1
Jon Elerath 1
Jiri Schindler 1
Qiang Cao 1
Shan Lu 1
Seungwon Hwang 1
Navendu Jain 1
Min Xu 1
Lawrence You 1
Zachary Peterson 1
Kai Li 1
Xianghong Luo 1
Mark Shaw 1
Yan Li 1
Taesun Chung 1
Hyungju Cho 1
Ming Wu 1
Wenguang Chen 1
Mohammed Alghamdi 1
Youyou Lu 1
Long Sun 1
Myoungsoo Jung 1
Yihua Zhang 1
Guanlin Lu 1
Matthew Curry 1
Garth Gibson 1
Jacob Lorch 1
Maithili Narasimha 1
Yang Wang 1
Vincent Freeh 1
Emery Berger 1
Mathew Oldham 1
Nandan Tammineedi 1
Chris Mason 1
Sam Noh 1
Kuoyi Huang 1
Tsungtai Yeh 1
Eunki Kim 1
TingHao Cheng 1
Rick Coulson 1
Angelos Bilas 1
Jason Flinn 1
Kevin Bowers 1
Sajib Kundu 1
Guanying Wu 1
Xubin He 1
Ben Eckart 1
Christos Karamanolis 1
Magnus Karlsson 1
Thomas Schwarz 1
Harikesavan Krishnan 1
Robert Ross 1
Robert Latham 1
John Lui 1
Xuechen Zhang 1
Yuxing Peng 1
Alexey Tumanov 1
Jack Sun 1
Dushyanth Narayanan 1
Edward Chang 1
Mingdi Xue 1
Marianne Winslett 1
James Lentini 1
Anxiao(Andrew) Jiang 1
Garth Gibson 1
Nitin Garg 1
Bruno Quaresma 1
Ji Zhang 1
Sai Huang 1
William Jannen 1
Avani Wildani 1
Amogh Akshintala 1
Rachel Traylor 1
Surendar Chandra 1
Alexander Thomasian 1
Ivan Popov 1
Zhiwei Sun 1
Luis Bathen 1
Binny Gill 1
Aydan Yumerefendi 1
Ying Lin 1
Masaaki Tanaka 1
Tyler Simon 1
Jaemin Ryu 1
Yongdai Kim 1
Gerald Popek 1
Assaf Natanzon 1
Xiaojian Wu 1
John Garrison 1
Demetrios Zeinalipour-Yazti 1
Song Lin 1
Knut Grimsrud 1
Byeonggil Jeon 1
Philip Shilane 1
Grant Wallace 1
Kuei Sun 1
Hyojun Kim 1
Cristian Ungureanu 1
Deborah Estrin 1
Thanos Makatos 1
William Josephson 1
Brian Noble 1
Sotirios Damouras 1
Kaushik Dutta 1
Xiaoyun Zhu 1
Jay Dave 1
Nitin Gupta 1
Garth Goodson 1
David Essary 1
Yongchiang Tay 1
James Megquier 1
Seungho Lim 1
Bradley Vander Zanden 1
Jun Yang 1
Minghua Chen 1
Andromachi Hatzieleftheriou 1
Zhifeng Chen 1
Michael Abd-El-Malek 1
Michael Reiter 1
Youshan Miao 1
Ming Chen 1
Rekha Pitchumani 1
Shuwen Gao 1
David Donofrio 1
Leif Walsh 1
Martín Farach-Colton 1
Ankur Mittal 1
Prashant Pandey 1
Phaneendra Reddy 1
Stefano Paraboschi 1
Alberto Miranda 1
Sascha Effert 1
Mohit Saxena 1
Michael Swift 1
Di Ma 1
Vana Kalogeraki 1
Vinodh Venkatesan 1
Haim Helman 1
David Chambliss 1
Deepak Ganesan 1
Ramesh Govindan 1
Yannis Klonatos 1
Manolis Marazakis 1
David Flynn 1
Jianqiang Luo 1
Alina Oprea 1
Lihao Xu 1
Marcus Jager 1
Ryan Peterson 1
Feng Wang 1
Mohammad Zubair 1
Kenneth Sevcik 1
Qian Chang 1
Yinlong Xu 1
Elie Krevat 1
Mike Qin 1
Kahwai Lee 1
Tomer Hertz 1
KK Rao 1
Anthony Tung 1
Richard Spillane 1
Chihyuan Huang 1
Yinjin Fu 1
Hong Jiang 1
Qin Xin 1
James Plank 1
Sam Noh 1
Peter Trifonov 1
Thomas Talpey 1
PingYi Hsu 1
Arvind Krishnamurthy 1
Fenghao Zhang 1
Muthian Sivathanu 1
Sumeet Sobti 1
Junwen Lai 1
Nihat Altiparmak 1
Kushagra Vaid 1
Sejin Kwon 1
Wentao Han 1
Amanpreet Mukker 1
Xunfei Jiang 1
Marina Blanton 1
Jun Yuan 1
John Esmet 1
Sabrina Vimercati 1
Darren Sawyer 1
John Douceur 1
Nitin Agrawal 1
Yupu Zhang 1
Sudharshan Vazhkudai 1
Dutch Meyer 1
Mark Corner 1
Charles Weddle 1
Qian Wang 1
Alok Choudhary 1
Mais Nijim 1
Krishna Kant 1
Changhyun Park 1
Jaehyuk Cha 1
Ben Greenstein 1
Beomjoo Seo 1
Akshat Verma 1
Taokai Lam 1
Mingqiang Li 1
Sangeetha Seshadri 1
Liping Xiang 1
Jai Menon 1
Gordon Hughes 1
Daniel Ellard 1
Antony Rowstron 1
Udi Wieder 1
Rajiv Wickremesinghe 1
Qi Zhang 1
Kevin Greenan 1
Medha Bhadkamkar 1
Fernando Farfán 1
Marshall Mckusick 1
Adam Buchsbaum 1
Stefan Savage 1
Vesna Pavlović 1
Hyeongseog Kim 1
Robert Haas 1
Kristal Pollack 1
Jehoshua Bruck 1
Matthew Wachs 1
Karan Sanghi 1
Feng Zheng 1
Fernando André 1
Paulo Sousa 1
Yankit Li 1

Affiliation Paper Counts
Dankook University 1
University of Bergamo 1
Yale University 1
Los Alamos National Laboratory 1
Universitat Politecnica de Catalunya 1
Cornell University 1
Harvard University 1
The University of British Columbia 1
National Taichung Institute of Technology Taiwan 1
Dartmouth College 1
Earlham College 1
Indian Institute of Science 1
Sun Microsystems 1
University of Southern California, Information Sciences Institute 1
University of Denver 1
University of Washington Seattle 1
The University of Tennessee System 1
Yonsei University 1
Saint Petersburg State Polytechnical University 1
Tamkang University 1
University of Durham 1
Massachusetts Institute of Technology 1
New Jersey Institute of Technology 1
Politecnico di Milano 1
Dickinson College, Pittsburgh 1
University of California, Berkeley 1
The University of North Carolina at Chapel Hill 1
Complutense University of Madrid 1
Oracle Corporation 1
University of California, Santa Barbara 1
Temple University 1
Rutgers University 1
Salk Institute 1
University of Cyprus 1
Amazon.com, Inc. 1
Symantec Corporation 1
Barcelona Supercomputing Center 1
Al Baha University 1
Harvey Mudd College 2
Ewha Women's University 2
Virginia Commonwealth University 2
Ohio State University 2
Google Inc. 2
Lawrence Berkeley National Laboratory 2
Santa Clara University 2
National Taipei University of Technology 2
Stanford University 2
Sandia National Laboratories 2
University of Pittsburgh 2
The College of William and Mary 2
Hongik University 2
National Tsing Hua University 2
San Diego State University 2
University of Twente 2
University of Notre Dame 2
University of Virginia 2
University of Tokyo 2
University of Alabama at Birmingham 2
Ben-Gurion University of the Negev 2
New Mexico Institute of Mining and Technology 2
California Institute of Technology 2
Pohang University of Science and Technology 2
University of Belgrade 2
Harvard School of Engineering and Applied Sciences 2
Ajou University 3
University of Texas at San Antonio 3
IBM India Research Laboratory New Delhi 3
Northwestern University 3
Duke University 3
Purdue University 3
National Chiao Tung University Taiwan 3
University of Tennessee, Knoxville 3
National University of Singapore 3
Xiamen University 3
Oak Ridge National Laboratory 3
National University of Defense Technology China 3
University Michigan Ann Arbor 3
University of Milan 3
Korea Advanced Institute of Science & Technology 3
Wuhan National Laboratory for Optoelectronics 3
Microsoft Research Cambridge 3
Microsoft Research Asia 3
Samsung Electronics 4
University of Ioannina 4
North Carolina State University 4
Seagate Research 4
HP Labs 4
University of Massachusetts Amherst 4
Academia Sinica Taiwan 4
New York University 4
Northeastern University 4
University of Southern California 4
University of California, Riverside 4
University of Ljubljana 4
Florida State University 5
IBM Almaden Research Center 5
NEC Laboratories America, Inc. 5
Foundation for Research and Technology-Hellas 5
University of California, Los Angeles 5
National Taiwan University of Science and Technology 5
Johannes Gutenberg University Mainz 5
Universidade de Lisboa 5
Johns Hopkins University 6
University of California, San Diego 6
Microsoft 6
University of California, Irvine 6
EMC Corporation 7
Pennsylvania State University 7
Intel Corporation 7
Argonne National Laboratory 7
University of Nebraska - Lincoln 7
IBM 7
University of Science and Technology of China 7
Wayne State University 8
Texas A and M University 8
Date Storage Institute, A-Star, Singapore 8
Chinese University of Hong Kong 8
Princeton University 9
IBM Zurich Research Laboratory 9
IBM Thomas J. Watson Research Center 10
Florida International University 10
Huazhong University of Science and Technology 12
University of Illinois at Urbana-Champaign 12
Auburn University 12
National Taiwan University 13
Carnegie Mellon University 16
Hanyang University 17
Seoul National University 17
University of Toronto 19
Microsoft Research 22
Tsinghua University 23
University of California, Santa Cruz 25
Stony Brook University 35
University of Wisconsin Madison 36

ACM Transactions on Storage (TOS)
Archive


2016
Volume 12 Issue 3, April 2016  Issue-in-Progress
Volume 12 Issue 2, February 2016
Volume 12 Issue 1, February 2016 Special Issue on Massive Storage Systems and Technologies (MSST 2015)

2015
Volume 11 Issue 4, November 2015 Special Issue USENIX FAST 2015
Volume 11 Issue 3, July 2015
Volume 11 Issue 2, March 2015
Volume 11 Issue 1, February 2015

2014
Volume 10 Issue 4, October 2014 Special Issue on Usenix Fast 2014
Volume 10 Issue 3, July 2014
Volume 10 Issue 2, March 2014
Volume 10 Issue 1, January 2014

2013
Volume 9 Issue 4, November 2013
Volume 9 Issue 3, August 2013
Volume 9 Issue 2, July 2013
Volume 9 Issue 1, March 2013

2012
Volume 8 Issue 4, November 2012
Volume 8 Issue 3, September 2012
Volume 8 Issue 2, May 2012
Volume 8 Issue 1, February 2012
Volume 7 Issue 4, January 2012

2011
Volume 7 Issue 3, October 2011
Volume 7 Issue 2, July 2011
Volume 7 Issue 1, June 2011
Volume 6 Issue 4, May 2011

2010
Volume 6 Issue 3, September 2010
Volume 6 Issue 2, July 2010
Volume 6 Issue 1, March 2010

2009
Volume 5 Issue 4, December 2009
Volume 5 Issue 3, November 2009
Volume 5 Issue 2, June 2009
Volume 5 Issue 1, March 2009
Volume 4 Issue 4, January 2009

2008
Volume 4 Issue 3, November 2008
Volume 4 Issue 2, May 2008
Volume 4 Issue 1, May 2008
Volume 3 Issue 4, February 2008

2007
Volume 3 Issue 3, October 2007
Volume 3 Issue 2, June 2007
Volume 3 Issue 1, March 2007

2006
Volume 2 Issue 4, November 2006
Volume 2 Issue 3, August 2006
Volume 2 Issue 2, May 2006
Volume 2 Issue 1, February 2006

2005
Volume 1 Issue 4, November 2005
Volume 1 Issue 3, August 2005
Volume 1 Issue 2, May 2005
Volume 1 Issue 1, February 2005
 
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