Postdoctoral Researcher, Data Sciences Group

Transcription

1 Dongfang Zhao, Ph.D. Contact Advanced Computing, Mathematics and Data Division (206) Pacific Northwest National Laboratory Seattle, Washington, United States Professional Experience Academic Background IBM Almaden Research Center, San Jose, CA Summer 2015 Research Intern, Cloud Management Services Department Supervisor: Dr. Heiko Ludwig Argonne National Laboratory, Lemont, IL Spring 2014 Research Intern, Mathematics and Computer Science Division Supervisor: Dr. Robert Ross Pacific Northwest National Laboratory, Richland, WA Summer 2013 Research Intern, Data-intensive Scientific Computing Group Supervisor: Dr. Jian Yin Epic Systems Corporation, Madison, WI Software Developer, EpicCare Ambulatory Team Pacific Northwest National Laboratory, Seattle, WA Postdoctoral Researcher, Data Sciences Group, Chicago, IL Ph.D., Computer Science Advisor: Dr. Ioan Raicu Committee: Dr. Xian-He Sun, Dr. Zhiling Lan, Dr. Erdal Oruklu Dissertation: Big Data System Infrastructure at Extreme Scales Emory University, Atlanta, GA M.S., Computer Science Katholieke Universiteit Leuven, Belgium M.S., Statistics and Artificial Intelligence Northeastern University, China B.E., Computer Science and Technology Selected [TPDS] Dongfang Zhao, Ning Liu, Dries Kimpe, Robert Ross, Xian-He Sun, and Ioan Publications Raicu. Towards Exploring Data-Intensive Scientific Applications at Extreme Scales through Systems and Simulations. IEEE Transactions on Parallel and Distributed Systems. 14 pages, doi: /tpds , [TSC] Dongfang Zhao, Kan Qiao, Jian Yin, and Ioan Raicu. Dynamic Virtual Chunks: On Supporting Efficient Accesses to Compressed Scientific Data. IEEE Transactions on Services Computing. 14 pages, doi: /tsc , [TPAMI] Dongfang Zhao and Li Yang. Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(1):86 98, January of 7

2 Invited Talks Big Data at Extreme Scales West Virginia University, Morgantown, WV April 2015 California State University, Sacramento, CA March 2015 University of Idaho, Moscow, ID February 2015 Conference Presentations [06/2015] High-Performance Storage Support for Scientific Applications on the Cloud, ACM HPDC 15, Portland, OR. [11/2014] Storage Support for Data-Intensive Applications on Extreme-Scale HPC Systems, ACM/IEEE SC 14, New Orleans, LA. [10/2014] Virtual Chunks: On Supporting Random Accesses to Scientific Data in Compressible Storage Systems, IEEE BigData 14, Washington, DC. [10/2014] FusionFS: Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems, IEEE BigData 14, Washington, DC. [05/2014] HyCache+: Towards Scalable High-Performance Caching Middleware for Parallel File Systems, IEEE/ACM CCGrid 14, Chicago, IL. [09/2013] Distributed Data Provenance for Large-Scale Data-Intensive Computing, IEEE Cluster 13, Indianapolis, IN. [05/2013] HyCache: A User-Level Caching Middleware for Distributed File Systems, IEEE IPDPS 13, Boston, MA. [04/2013] Exploring Reliability of Exascale Systems Through Simulations, ACM/SCS HPC 13, San Diego, CA. [11/2012] Distributed File Systems for Exascale Computing, ACM/IEEE SC 12, Salt Lake City, UT. Teaching Teaching Assistant CS554 Data Intensive Computing, IIT Spring 2015, Fall 2013 CS553 Cloud Computing, IIT Fall 2014, Spring 2013 CS495 Introduction to Distributed Systems, IIT Fall 2012 Student Supervision Kevin Brandstatter, BS/MS Computer Science, IIT Spring 2015 Projects: Distributed indexing in file systems First employment: software developer, Epic, Madison, WI Daniel Gordon, BS Computer Science, IIT Fall 2014 Projects: Student cluster competition at ACM/IEEE SC 14 First employment: software developer, Nokia, Chicago, IL Chen Shou, MS Computer Science, IIT Fall 2013 Projects: Provenance awareness in distributed file systems Publications: IEEE Cluster 13, USENIX TaPP 13 First employment: software developer, Amazon, Seattle, WA Kent Burlingame, BS Computer Science, IIT Spring 2013 Projects: GPU-accelerated erasure coding Publications: IEEE Cluster 13 2 of 7

3 First employment: software developer, Microsoft, Seattle, WA Da Zhang, MS Computer Science, IIT Fall 2012 Projects: Application efficiency and reliability at exascale Publications: ACM/SCS HPC 13 First employment: Ph.D. program, Virginia Tech Service References Editorial Board Springer Journal of Big Data 2015 present Journal Referee IEEE Transactions on Parallel and Distributed Systems 2014 present IEEE Transactions on Cloud Computing 2014 present Springer Journal of Cluster Computing 2015 Springer Journal of Grid Computing 2015 Elsevier Journal of Parallel Computing 2015 Elsevier Journal of Future Generation Computer Systems 2015 Journal of Computer Engineering and Information Technology 2015 Mathematical Problems in Engineering 2015 Conference Co-Chair IEEE/ACM International Symposium on Big Data Computing 2015 Technical Program Committee Int l Conference on Data Mining, Internet Computing, and Big Data 2016 Int l Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers 2015 The 2nd IEEE/ACM Int l Symposium on Big Data Computing 2015 Int l Conference on Signal Processing and Data Mining 2015 Int l Conference on Computer Technologies Innovations & Applications 2015 Int l Conference on Computer Vision and Pattern Recognition 2015 Int l Conference on Education & elearning Innovations 2015 Int l Conference on Cloud Computing & Cryptography 2015 Int l Conference on Engineering & Computational Innovation Sciences 2015 Int l Conference on Advances in Computing, Communications & Informatics 2015 Int l Conference on Cloud Computing Technologies and Applications 2015 Int l Summit on Bio-Metrics and Smart Government 2015 IEEE Int l Conference on Adaptive Science & Technology 2014 Reviewer The 6th ACM Conference on Data and Application Security and Privacy 2016 The 21st IEEE International Conference on Parallel and Distributed Systems 2015 Int l Workshop on Collaborative methodologies to Accelerate Scientific Knowledge discovery in big data 2014 IEEE/ACM Int l Symposium on Big Data Computing 2014 IEEE Int l Conference on Cloud Computing Technology and Science 2014 Int l Conference on Massive Storage Systems and Technology 2014 Int l Workshop on Data-Intensive Scalable Computing Systems 2013 IEEE Int l Conf. on High Performance Computing and Communications 2013 IEEE Int l Conference on Big Data 2013 Int l Conference on Cloud and Green Computing 2013 Dr. Ioan Raicu 3 of 7

4 Assistant Professor Phone: Dr. Jian Yin Senior Scientist Phone: Mathematics and Data Division Pacific Northwest National Laboratory Dr. Xian-He Sun Distinguished Professor, Fellow of the IEEE Phone: Dr. Robert Ross Senior Scientist Phone: Mathematics and Computer Science Devision Argonne National Laboratory Dr. Zhiling Lan Professor Phone: Dr. Edward Reingold Professor, Fellow of the ACM Phone: Dr. Yi Zhao Associate Professor Phone: Department of Biomedical Engineering The Ohio State University Collaborators Complete List of Refereed Publications Dr. Philip Carns, Argonne National Laboratory, Chicago, IL Dr. Linhua Jiang, Chinese Academy of Sciences, Shanghai, China Dr. Dries Kimpe, KCG Holdings Inc., Chicago, IL Dr. Jialin Liu, Lawrence Berkeley National Laboratory, Berkley, CA Dr. Heiko Ludwig, IBM Almaden Research Center, San Jose, CA Dr. Tanu Malik, University of Chicago, IL Dr. Kan Qiao, Google, Seattle, WA Dr. Wei Tang, Google, New York City, NY Dr. Steven Timm, Fermi National Accelerator Laboratory, Chicago, IL Dr. Ke Wang, Intel, Portland, OR Dr. Zhao Zhang, University of California, Berkeley, CA Under Review [33] Dongfang Zhao, Kan Qiao, Zhou Zhou, Tonglin Li, Ke Wang, Xiaobing Zhou, and Ioan Raicu. Exploiting Multi-Cores for Efficient Interchange of Large Messages in Distributed Systems. Concurrency and Computation: Practice and Experience (CCPE). [32] Dongfang Zhao, Ke Wang, Kan Qiao, Tonglin Li, Iman Sadooghi, Xiaobing Zhou, and Ioan Raicu. Toward High-performance Key-value Stores through GPU Encoding and Locality-aware Scheduling. Journal of Parallel and Distributed Computing (JPDC). 4 of 7

5 [31] Dongfang Zhao, Kan Qiao, Zhou Zhou, Jian Yin, Tonglin Li, Ke Wang, Xiaobing Zhou, and Ioan Raicu. Toward Distributed and Hierarchical Metadata Index. IEEE IPDPS [30] Iman Sadooghi, Ke Wang, Shiva Srivastava, Dharmit Patel, Dongfang Zhao, Tonglin Li, and Ioan Raicu. FaBRiQ: Leveraging Distributed Hash Tables towards Distributed Publish-Subscribe Message Queues. IEEE/ACM International Symposium on Big Data Computing. Limassol, Cyprus, December [29] Jian Yin and Dongfang Zhao. Data Confidentiality Challenges in Big Data Applications. Proceedings of the 2015 IEEE International Conference on Big Data. Santa Clara, CA, USA, October [28] Xiaobing Zhou, Tonglin Li, Ke Wang, Dongfang Zhao, Iman Sadooghi, and Ioan Raicu. MHT: A Light-weight Scalable Zero-hop MPI Enabling Distributed Key-Value Store. Proceedings of the 2015 IEEE International Conference on Big Data. Santa Clara, CA, USA, October [27] Tonglin Li, Ke Wang, Shiva Srivastava, Dongfang Zhao, Kan Qiao, Iman Sadooghi, Xiaobing Zhou, and Ioan Raicu. A Flexible QoS Fortified Distributed Key-Value Storage System for the Cloud. Proceedings of the 2015 IEEE International Conference on Big Data. Santa Clara, CA, USA, October [26] Dongfang Zhao, Nagapramod Mandagere, Gabriel Alatorre, Mohamed Mohamed, and Heiko Ludwig. Toward Locality-aware Scheduling for Containerized Cloud Services. Proceedings of the 2015 IEEE International Conference on Big Data. Santa Clara, CA, USA, October [25] Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, and Zhiling Lan. I/O-Aware Batch Scheduling for Petascale Computing Systems. Proceedings of the 2015 IEEE International Conference on Cluster Computing. Chicago, IL, USA, September [24] Tonglin Li, Chaoqi Ma, Jiabao Li, Xiaobing Zhou, Ke Wang, Dongfang Zhao, and Ioan Raicu. GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System. Proceedings of the 2015 IEEE International Conference on Cluster Computing. Chicago, IL, USA, September [23] Dongfang Zhao, Kan Qiao, Jian Yin, and Ioan Raicu. Dynamic Virtual Chunks: On Supporting Efficient Accesses to Compressed Scientific Data. IEEE Transactions on Services Computing (TSC). 14 pages, doi: /tsc , July [22] Tonglin Li, Xiaobing Zhou, Ke Wang, Dongfang Zhao, Iman Sadooghi, Zhao Zhang, and Ioan Raicu. A Convergence of Key-Value Storage Systems from Clouds to Supercomputers. Concurrency and Computation: Practice and Experience (CCPE). doi: /cpe.3614, July [21] Dongfang Zhao, Ning Liu, Dries Kimpe, Robert Ross, Xian-He Sun, and Ioan Raicu. Towards Exploring Data-Intensive Scientific Applications at Extreme Scales through Systems and Simulations. IEEE Transactions on Parallel and Distributed Systems (TPDS). 14 pages, doi: /tpds , June [20] Dongfang Zhao, Xu Yang, Iman Sadooghi, Gabriele Garzoglio, Steven Timm, and Ioan Raicu. High-Performance Storage Support for Scientific Applications 5 of 7

6 on the Cloud. ScienceCloud workshop, proceedings of the 24th ACM International Symposium on High Performance Distributed Computing (HPDC). Portland, OR, USA, June [19] Tonglin Li, Kate Keahey, Ke Wang, Dongfang Zhao, and Ioan Raicu. A Dynamically Scalable Cloud Data Infrastructure for Sensor Networks. ScienceCloud workshop, proceedings of the 24th ACM International Symposium on High Performance Distributed Computing (HPDC). Portland, OR, USA, June [18] Dongfang Zhao, Kan Qiao, and Ioan Raicu. Towards Cost-Effective and High-Performance Caching Middleware for Distributed Systems. International Journal of Big Data Intelligence (IJBDI). February 2015 (accepted) [17] Dongfang Zhao and Ioan Raicu. Storage Support for Data-Intensive Scientific Applications on the Cloud. NSFCloud Workshop on Experimental Support for Cloud Computing. Arlington, VA, USA, December [16] Dongfang Zhao and Ioan Raicu. Storage Support for Data-Intensive Applications on Extreme-Scale HPC Systems. The 2014 ACM/IEEE Conference on Supercomputing (SC). New Orleans, LA, USA, November [15] Dongfang Zhao, Jian Yin, Kan Qiao, and Ioan Raicu. Virtual Chunks: On Supporting Random Accesses to Scientific Data in Compressible Storage Systems. Proceedings of the 2014 IEEE International Conference on Big Data. Washington, DC, USA, October [14] Ke Wang, Xiaobing Zhou, Tonglin Li, Dongfang Zhao, Michael Lang, and Ioan Raicu. Optimizing Load Balancing and Data-Locality with Data-Aware Scheduling. Proceedings of the 2014 IEEE International Conference on Big Data. Washington, DC, USA, October [13] Dongfang Zhao, Zhao Zhang, Xiaobing Zhou, Tonglin Li, Ke Wang, Dries Kimpe, Philip Carns, Robert Ross, and Ioan Raicu. FusionFS: Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems. Proceedings of the 2014 IEEE International Conference on Big Data. Washington, DC, USA, October [12] Dongfang Zhao, Kan Qiao, and Ioan Raicu. HyCache+: Towards Scalable High-Performance Caching Middleware for Parallel File Systems. Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Chicago, IL, USA, May [11] Dongfang Zhao, Jian Yin, and Ioan Raicu. Improving the I/O Throughput for Data-Intensive Scientific Applications with Efficient Compression Mechanisms. The 2013 ACM/IEEE Conference on Supercomputing (SC). Denver, CO, USA, November [10] Dongfang Zhao, Chen Shou, Tanu Malik, and Ioan Raicu. Distributed Data Provenance for Large-Scale Data-Intensive Computing. Proceedings of the 2013 IEEE International Conference on Cluster Computing. Indianapolis, IN, USA, September [9] Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, and Ioan Raicu. Towards High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms. Proceedings of the 6 of 7

7 2013 IEEE International Conference on Cluster Computing. Indianapolis, IN, USA, September [8] Tonglin Li, Xiaobing Zhou, Kevin Brandstatter, Dongfang Zhao, Ke Wang, Anupam Rajendran, Zhao Zhang, and Ioan Raicu. ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table. Proceedings of the 27th IEEE International Parallel & Distributed Processing Symposium (IPDPS). Boston, MA, USA, May [7] Dongfang Zhao and Ioan Raicu. HyCache: A User-Level Caching Middleware for Distributed File Systems. Proceedings of International Workshop on High Performance Data Intensive Computing, collocated with IEEE International Symposium on Parallel and Distributed Processing (IPDPS). Boston, MA, USA, May [6] Dongfang Zhao, Da Zhang, Ke Wang, and Ioan Raicu. Exploring Reliability of Exascale Systems Through Simulations. Proceedings of the 21st ACM/SCS High Performance Computing Symposium (HPC). San Diego, CA, USA, April [5] Chen Shou, Dongfang Zhao, Tanu Malik, and Ioan Raicu. Towards a Provenance- Aware Distributed Filesystem. The 5th Workshop on the Theory and Practice of Provenance, collocated with USENIX Symposium on Networked Systems Design and Implementation (NSDI). Lombard, IL, USA, April and before [4] Dongfang Zhao and Ioan Raicu. Distributed File Systems for Exascale Computing. The 2012 ACM/IEEE Conference on Supercomputing (SC). Salt Lake City, UT, USA, November [3] Dongfang Zhao and Li Yang. Incremental Isometric Embedding of High- Dimensional Data Using Connected Neighborhood Graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 31(1):86 98, January [2] Robin Lohfert, James Lu, and Dongfang Zhao. Solving SQL Constraints by Incremental Translation to SAT. Proceedings of the 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE). Wroclaw, Poland, June [1] Dongfang Zhao and Li Yang. Incremental Construction of Neighborhood Graphs for Nonlinear Dimensionality Reduction, Proceedings of the 18th International Conference on Pattern Recognition (ICPR). Hong Kong, China, August of 7