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Hsing-bung Chen

Hsing-Bung Chen

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2020 – today

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2020
[c30]
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Hsing-bung Chen, Sihai Tang, Song Fu:
A middle-ware approach to leverage the distributed data de-duplication capability on HPC and Cloud storage systems. IEEE BigData 2020: 2649-2653

2010 – 2019

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2019
[c29]
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Shuwen Liang, Zhi Qiao, Sihai Tang, Jacob Hochstetler, Song Fu, Weisong Shi, Hsing-Bung Chen:
An Empirical Study of Quad-Level Cell (QLC) NAND Flash SSDs for Big Data Applications. IEEE BigData 2019: 3676-3685
[c28]
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Hsing-bung Chen, Zhi Qiao, Song Fu:
Applying SDN based data network on HPC Big Data Computing - Design, Implementation, and Evaluation. IEEE BigData 2019: 6007-6009
[c27]
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Zhi Qiao, Song Fu, Hsing-Bung Chen, Bradley W. Settlemyer:
Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study. CLUSTER 2019: 1-10
[c26]
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Zhi Qiao, Shuwen Liang, Song Fu, Hsing-Bung Chen, Bradley W. Settlemyer:
Characterizing and Modeling Reliability of Declustered RAID for HPC Storage Systems. DSN (Industry Track) 2019: 17-20
[c25]
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Song Huang, Shuwen Liang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-bung Chen:
Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems. ICAC 2019: 157-166
[c24]
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Zhi Qiao, Shuwen Liang, Hsing-Bung Chen, Song Fu, Bradley W. Settlemyer:
Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance in HPC Storage Systems. SRDS 2019: 285-294
2018
[c23]
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Zhi Qiao, Jacob Hochstetler, Shuwen Liang, Song Fu, Hsing-bung Chen, Bradley W. Settlemyer:
Developing Cost-Effective Data Rescue Schemes to Tackle Disk Failures in Data Centers. BigData Congress 2018: 194-208
[c22]
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Hsing-bung Chen:
A Universal Namespace Approach to Support Metadata Management and Efficient Data Convergence of HPC and Cloud Scientific Workflows. IEEE BigData 2018: 516-521
[c21]
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Shuwen Liang, Zhi Qiao, Jacob Hochstetler, Song Huang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-Bung Chen, Bradley W. Settlemyer, David Richard Montoya:
Reliability Characterization of Solid State Drives in a Scalable Production Datacenter. IEEE BigData 2018: 3341-3349
[c20]
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Zhi Qiao, Shuwen Liang, Nandini Damera, Song Fu, Hsing-bung Chen, Michael Lang:
ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing. IEEE BigData 2018: 3350-3358
[c19]
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Hsing-bung Chen, Qiang Guan, Song Fu:
UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems. DASC/PiCom/DataCom/CyberSciTech 2018: 889-896
[c18]
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Zhi Qiao, Jacob Hochstetler, Shuwen Liang, Song Fu, Hsing-bung Chen, Bradley W. Settlemyer:
Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems. DASC/PiCom/DataCom/CyberSciTech 2018: 904-911
[c17]
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Qiang Liu, Nageswara S. V. Rao, Satyabrata Sen, Bradley W. Settlemyer, Hsing-Bung Chen, Joshua M. Boley, Rajkumar Kettimuthu, Dimitrios Katramatos:
Virtual Environment for Testing Software-Defined Networking Solutions for Scientific Workflows. AI-Science@HPDC 2018: 3:1-3:8
[c16]
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Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Rajkumar Kettimuthu, Joshua M. Boley, Bradley W. Settlemyer, Hsing-Bung Chen, Dimitrios Katramatos, Dantong Yu:
Software-Defined Network Solutions for Science Scenarios: Performance Testing Framework and Measurements. ICDCN 2018: 53:1-53:10
[c15]
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Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Rajkumar Kettimuthu, Joshua M. Boley, Bradley W. Settlemyer, Hsing-Bung Chen, Dimitrios Katramatos:
Regression-Based Analytics for Response Dynamics of SDN Solutions and Components. NetSoft 2018: 350-355
2017
[c14]
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Hsing-bung Chen, Gary Grider, David Richard Montoya:
An Early Functional and Performance Experiment of the MarFS Hybrid Storage EcoSystem. IC2E 2017: 59-66
2016
[c13]
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Hsing-bung Chen, Song Fu:
Improving Coding Performance and Energy Efficiency of Erasure Coding Process for Storage Systems - A Parallel and Scalable Approach. CLOUD 2016: 933-936
[c12]
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Hsing-bung Chen, Song Fu:
Parallel Erasure Coding: Exploring Task Parallelism in Erasure Coding for Enhanced Bandwidth and Energy Efficiency. NAS 2016: 1-4
2015
[c11]
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Hsing-bung Chen, Gary Grider, Jeff Inman, Parks Fields, Jeffery A. Kuehn:
The Impact of Vectorization on Erasure Code Computing in Cloud Storages - A Performance and Power Consumption Study. CLOUD 2015: 781-788
[c10]
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Hsing-bung Chen, Song Fu:
PASSI: A Parallel, Reliable and Scalable Storage Software Infrastructure for active storage system and I/O environments. IPCCC 2015: 1-8
[c9]
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Hsing-bung Chen, Gary Grider, Jeff Inman, Parks Fields, Jeff Alan Kuehn:
An empirical study of performance, power consumption, and energy cost of erasure code computing for HPC cloud storage systems. NAS 2015: 71-80
2014
[c8]
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Jeff Inman, Gary Grider, Hsing-bung Chen:
Cost of Tape versus Disk for Archival Storage. IEEE CLOUD 2014: 208-215
2012
[c7]
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  - conf/mss/BigelowBBC12
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David O. Bigelow, Scott A. Brandt, John Bent, Hsing-bung Chen:
Valmar: High-bandwidth real-time streaming data management. MSST 2012: 1-6
2010
[c6]
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Hsing-bung Chen, Gary Grider, Cody Scott, Milton Turley, Aaron Torres, Kathy Sanchez, John Bremer:
Integration Experiences and Performance Studies of A COTS Parallel Archive System. CLUSTER 2010: 166-177
[c5]
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David O. Bigelow, Scott A. Brandt, John Bent, Hsing-bung Chen:
Mahanaxar: Quality of service guarantees in high-bandwidth, real-time streaming data storage. MSST 2010: 1-11

2000 – 2009

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2009
[c4]
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Hsing-bung Chen, Sarah Ellen Michalak, John Bent, Gary Grider:
FuseRBFS - A Fuse based RingBuffer File System for Data Intensive Scientific Computing. PDPTA 2009: 517-519
2008
[c3]
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Hsing-bung Chen, Parks Fields, Alfred Torrez:
An Intelligent Parallel and Scalable Server I/O Networking Environment for High Performance Cluster Computing Systems. PDPTA 2008: 513-519
2007
[c2]
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Hsing-bung Chen, Gary Grider, Parks Fields:
A Cost-Effective, High Bandwidth Server I/O network Architecture for Cluster Systems. IPDPS 2007: 1-10
2006
[c1]
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Gary Grider, Hsing-bung Chen, James Nunez, Steve Poole, Rosie Wacha, Parks Fields, Robert Martinez, Paul Martinez, Satsangat Khalsa, Abbie Matthews, Garth A. Gibson:
PaScal - a new parallel and scalable server IO networking infrastructure for supporting global storage/file systems in large-size Linux clusters. IPCCC 2006

1990 – 1999

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1995
[j1]
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  - journals/concurrency/ShiraziCM95
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Behrooz A. Shirazi, Hsing-bung Chen, Jeff Marquis:
Comparative study of task duplication static scheduling versus clustering and non-clustering techniques. Concurr. Pract. Exp. 7(5): 371-389 (1995)

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