Qing Liu

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 50

Top Topics

Memory Hierarchy

Transfer Learning

Mesh Refinement

Lossy Compression

Top Venues

IEEE Trans. Computers

IEEE Trans. Parallel Distributed Syst.

Publications

Wenjie Liu, Xubin He, Qing Liu
Exploring Memory Access Similarity to Improve Irregular Application Performance for Distributed Hybrid Memory Systems. IEEE Trans. Parallel Distributed Syst. 34 (3) (2023)
Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. ICDE (2023)
Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Tao Lu, Xubin He
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data. IEEE Trans. Big Data 9 (1) (2023)
Jinzhen Wang, Qi Chen, Tong Liu, Qing Liu, Xubin He
zPerf: A Statistical Gray-Box Approach to Performance Modeling and Extrapolation for Scientific Lossy Compression. IEEE Trans. Computers 72 (9) (2023)
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24 (2023)
Huizhang Luo, Junqi Wang, Zhenlu Qin, Dan Huang, Qing Liu, Mengchu Zhou, Hong Jiang
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data. IEEE Trans. Big Data 9 (3) (2023)
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC (2023)
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
Identifying challenges and opportunities of in-memory computing on large HPC systems. J. Parallel Distributed Comput. 164 (2022)
Nan Wang, Tong Liu, Jinzhen Wang, Qing Liu, Shakeel Alibhai, Xubin He
Locality-based transfer learning on compression autoencoder for efficient scientific data lossy compression. J. Netw. Comput. Appl. 205 (2022)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers 71 (7) (2022)
Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM (2022)
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Dan Huang, Jun Wang, Qing Liu, Nong Xiao, Huafeng Wu, Jiangling Yin
Enhancing Proportional IO Sharing on Containerized Big Data File Systems. IEEE Trans. Computers 70 (12) (2021)
Haitao Yuan, Jing Bi, MengChu Zhou, Qing Liu, Ahmed Chiheb Ammari
Biobjective Task Scheduling for Distributed Green Data Centers. IEEE Trans Autom. Sci. Eng. 18 (2) (2021)
Huizhang Luo, Junqi Wang, Qing Liu, Jieyang Chen, Scott Klasky, Norbert Podhorszki
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement. IPDPS (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2021)
Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC (2021)
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He
Reducing the Training Overhead of the HPC Compression Autoencoder via Dataset Proportioning. NAS (2021)
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS (2021)
Junqi Wang, Yida Li, Qing Liu, Huizhang Luo, Kenli Li
Total Variation Reduction for Lossless Compression of HPC Applications. SoCC (2021)
Jinzhen Wang, Tong Liu, Qing Liu, Xubin He, Huizhang Luo, Weiming He
Compression Ratio Modeling and Estimation across Error Bounds for Lossy Compression. IEEE Trans. Parallel Distributed Syst. 31 (7) (2020)
Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43 (1) (2020)
Zhenbo Qiao, Qing Liu, Norbert Podhorszki, Scott Klasky, Jieyang Chen
Taming I/O variation on QoS-less HPC storage: what can applications do? SC (2020)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR (2020)
Haitao Yuan, MengChu Zhou, Qing Liu, Abdullah Abusorrah
Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds. IEEE CAA J. Autom. Sinica 7 (5) (2020)
Dan Huang, Zhenlu Qin, Qing Liu, Norbert Podhorszki, Scott Klasky
A Comprehensive Study of In-Memory Computing on Large HPC Systems. ICDCS (2020)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2020)
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12 (2020)
Mengxiao Wang, Huizhang Luo, Qing Liu, Hong Jiang
Load-aware Elastic Data Reduction and Re-computation for Adaptive Mesh Refinement. NAS (2019)
Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki
Harnessing Data Movement in Virtual Clusters for In-Situ Execution. IEEE Trans. Parallel Distributed Syst. 30 (3) (2019)
Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, Zhenlu Qin
Identifying Latent Reduced Models to Precondition Lossy Compression. IPDPS (2019)
Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems? IEEE Trans. Computers 68 (5) (2019)
Jing Bi, Haitao Yuan, MengChu Zhou, Qing Liu
Time-Dependent Cloud Workload Forecasting via Multi-Task Learning. IEEE Robotics Autom. Lett. 4 (3) (2019)
Tong Liu, Shakeel Alibhai, Jinzhen Wang, Qing Liu, Xubin He, Chentao Wu
Exploring Transfer Learning to Reduce Training Overhead of HPC Data in Machine Learning. NAS (2019)
Haoyue Liu, MengChu Zhou, Qing Liu
An embedded feature selection method for imbalanced data classification. IEEE CAA J. Autom. Sinica 6 (3) (2019)
Yuhua Guo, Weijun Xiao, Qing Liu, Xubin He
A Cost-effective and Energy-efficient Architecture for Die-stacked DRAM/NVM Memory Systems. IPCCC (2018)
Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data. IPDPS (2018)
Zhenbo Qiao, Tao Lu, Huizhang Luo, Qing Liu, Scott Klasky, Norbert Podhorszki, Jinzhen Wang
SIRIUS: Enabling Progressive Data Exploration for Extreme-Scale Scientific Data. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS (2018)
Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience (2018)
Huizhang Luo, Qing Liu, Jingtong Hu, Qiao Li, Liang Shi, Qingfeng Zhuge, Edwin Hsing-Mean Sha
Write Energy Reduction for PCM via Pumping Efficiency Improvement. ACM Trans. Storage 14 (3) (2018)
Yuhua Guo, Qing Liu, Weijun Xiao, Ping Huang, Norbert Podhorszki, Scott Klasky, Xubin He
SELF: A High Performance and Bandwidth Efficient Approach to Exploiting Die-Stacked DRAM as Part of Memory. MASCOTS (2017)
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage (2017)
Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS (2017)
Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. CLUSTER (2017)
Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS (2017)
Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par (2017)
Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER (2017)
Dan Huang, Jun Wang, Qing Liu, Jiangling Yin, Xuhong Zhang, Xunchao Chen
Experiences in using os-level virtualization for block I/O. PDSW@SC (2015)
Wenzhao Zhang, Houjun Tang, Xiaocheng Zou, Steve Harenberg, Qing Liu, Scott Klasky, Nagiza F. Samatova
Exploring Memory Hierarchy to Improve Scientific Data Read Performance. CLUSTER (2015)
Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. SIGMETRICS (2015)
Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
Combining phase identification and statistic modeling for automated parallel benchmark generation. PPOPP (2015)
Yanwei Zhang, Matthew Wolf, Karsten Schwan, Qing Liu, Greg Eisenhauer, Scott Klasky
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery. WORKS@SC (2015)
Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26 (7) (2014)
David A. Boyuka II, Sriram Lakshminarasimhan, Xiaocheng Zou, Zhenhuan Gong, John Jenkins, Eric R. Schendel, Norbert Podhorszki, Qing Liu, Scott Klasky, Nagiza F. Samatova
Transparent in Situ Data Transformations in ADIOS. CCGRID (2014)
Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
Active workflow system for near real-time extreme-scale science. PPAA@PPoPP (2014)
Zhenhuan Gong, David A. Boyuka II, Xiaocheng Zou, Qing Liu, Norbert Podhorszki, Scott Klasky, Xiaosong Ma, Nagiza F. Samatova
PARLO: PArallel Run-Time Layout Optimization for Scientific Data Explorations with Heterogeneous Access Patterns. CCGRID (2013)
Hongbo Zou, Karsten Schwan, Magdalena Slawiñska, Matthew Wolf, Greg Eisenhauer, Fang Zheng, Jai Dayal, Jeremy Logan, Qing Liu, Scott Klasky, Tanja Bode, Michael Clark, Matthew Kinsey
FlexQuery: An online query system for interactive remote visual data exploration at large scale. CLUSTER (2013)
Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science (2013)
Qing Liu, Norbert Podhorszki, Jeremy Logan, Scott Klasky
Runtime I/O Re-Routing + Throttling on HPC Storage. HotStorage (2013)
Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf
Understanding I/O Performance Using I/O Skeletal Applications. Euro-Par (2012)
Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf
Collaborative monitoring and visualization of HPC data. CTS (2012)
Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky
Quality-Aware Data Management for Large Scale Scientific Applications. SC Companion (2012)
Eric R. Schendel, Saurabh V. Pendse, John Jenkins, David A. Boyuka II, Zhenhuan Gong, Sriram Lakshminarasimhan, Qing Liu, Hemanth Kolla, Jackie Chen, Scott Klasky, Robert B. Ross, Nagiza F. Samatova
ISOBAR hybrid compression-I/O interleaving for large-scale parallel I/O optimization. HPDC (2012)
Jay F. Lofstead, Milo Polte, Garth A. Gibson, Scott Klasky, Karsten Schwan, Ron A. Oldfield, Matthew Wolf, Qing Liu
Six degrees of scientific data: reading patterns for extreme scale science IO. HPDC (2011)
Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu
Parallel in situ indexing for data-intensive computing. LDAV (2011)
Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. CLUSTER (2011)
Jeremy Logan, Scott Klasky, Jay F. Lofstead, Hasan Abbasi, Stéphane Ethier, Ray W. Grout, Seung-Hoe Ku, Qing Liu, Xiaosong Ma, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf
Skel: Generative Software for Producing Skeletal I/O Applications. e-Science Workshops (2011)
Mostafa Esmaeili, Feng Xu, Nasir Ghani, Chongyang Xie, Min Peng, Qing Liu
Enhanced crankback for lightpath setup in multi-domain optical networks. IEEE Commun. Lett. 14 (5) (2010)
Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf
Managing Variability in the IO Performance of Petascale Storage Systems. SC (2010)
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf
PreDatA - preparatory data analytics on peta-scale machines. IPDPS (2010)
Feng Xu, Mostafa Esmaeili, Chongyang Xie, Nasir Ghani, Min Peng, Qing Liu
Enhanced Crankback Signaling for Multi-Domain Traffic Engineering. ICC (2010)
Qing Liu, Tannous Frangieh, Feng Xu, Chongyang Xie, Nasir Ghani, Ashwin Gumaste, Tom Lehman, Chin Guok, Scott Klasky
Distributed Grooming in Multi-Domain IP/MPLS-DWDM Networks. GLOBECOM (2009)
Chongyang Xie, Nasir Ghani, Qing Liu, R. Kouatang, Wei Wennie Shu, Yan Qiao, Min-You Wu, Shuping Peng
Traffic engineering for ethernet over SONET/SDH: advances and frontiers. IEEE Netw. 23 (3) (2009)
Qing Liu, Chongyang Xie, Tannous Frangieh, Nasir Ghani, Ashwin Gumaste, Nageswara S. V. Rao
Routing scalability in multi-domain DWDM networks. Photonic Netw. Commun. 17 (1) (2009)
Nasir Ghani, Qing Liu, Rui Wang, Yan Qiao, Chongyang Xie, Srikanth Seethamraju, Ashwin Gumaste
Dynamic topology overlays for multipoint Ethernet-over-SONET/SDH. International Teletraffic Congress (2009)
Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings
Plasma fusion code coupling using scalable I/O services and scientific workflows. SC-WORKS (2009)
Chongyang Xie, Nasir Ghani, Qing Liu, Wei Wennie Shu, Ashwin Gumaste, Yan Qiao, Min-You Wu
Multi-Point Ethernet over Next-Generation SONET/SDH. ICC (2009)
Nasir Ghani, Qing Liu, Ashwin Gumaste, John Lankford, Abdallah Shami, Chadi M. Assi, Ahmad Khalil, Driss Benhaddou
Value-added services in next-generation SONET/SDH networks. IEEE Commun. Mag. 46 (11) (2008)
Qing Liu, Chongyang Xie, Tannous Frangieh, Nasir Ghani, Ashwin Gumaste, Nageswara S. V. Rao, Tom Lehman
Inter-Domain Routing Scalability in Optical DWDM Networks. ICCCN (2008)
Nasir Ghani, Qing Liu, Ashwin Gumaste, Driss Benhaddou, Nageswara S. V. Rao, Tom Lehman
Control plane design in multidomain/multilayer optical networks. IEEE Commun. Mag. 46 (6) (2008)
Qing Liu, Nasir Ghani, Nageswara S. V. Rao, Ashwin Gumaste, M. L. Garcia
Distributed inter-domain lightpath provisioning in the presence of wavelength conversion. Comput. Commun. 30 (18) (2007)
Qing Liu, Nasir Ghani, Mehmet A. Kok
Application of topology abstraction techniques in multi-domain optical networks. ICCCN (2006)
Qing Liu, Mehmet A. Kok, Nasir Ghani, Ashwin Gumaste
Hierarchical routing in multi-domain optical networks. Comput. Commun. 30 (1) (2006)
Qing Liu, Mehmet A. Kok, Nasir Ghani, V. M. Muthalaly, M. Wang
Inter-Domain Provisioning in DWDM Networks. GLOBECOM (2006)
Qing Liu, Mehmet A. Kok, Nasir Ghani, V. M. Muthalaly, M. Wang
Hierarchical Inter-Domain Routing in Optical DWDM Networks. INFOCOM (2006)