Data-Intensive Distributed Systems Laboratory

• Location: 502
• Date: Sunday November 17th, 2013
• Time: 9AM - 5:30PM

The workshop features a keynote talk by Dr. Doug Thain (Notre Dame) and two invited papers(Dr. Judy Qiu, IndianaU & Dr. Alexandru Iosup, TUDelft). The workshop includes 5 presentations (selected from 12 full paper submissions). We will conclude with an exciting panel discussion titled "Many-Task Computing meets Big Data"; as panelists, we have Dr. Robert Grosmann (UChicago), Dr. Judy Qiu (InduanaU), Dr. Xian-He Sun (IIT), and Dr. Alexandru Iosup (TUDelft). For more information on these speakers, click here. For the program in PDF format, click here.

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Invited speakers biographies:

Keynote

Dr. Douglas Thain

• Associate Professor and Director of Graduate Studies, Department of Computer Science and Engineering, University of Notre Dame
• Associate Professor, College of Engineering, University of Notre Dame

Prof. Douglas Thain is an Associate Professor in the Department of Computer Science and Engineering at the University of Notre Dame.  He received the B.S. in Physics from the University of Minnesota - Twin Cities and the M.S. and Ph.D. in Computer Sciences from the University of Wisconsin - Madison, where he contributed to the Condor distributed computing system.  At Notre Dame, he works closely with researchers in multiple fields of science and engineering to attack scientific problems using large scale computing.  His research team creates and publishes open source software that is used around the world to harness large scale computing systems such as clusters, clouds, and grids. Prof. Thain teaches a variety of undergraduate and graduate courses in fundamentals of computing, operating systems, compilers, and distributed systems.  He is the recipient of multiple teaching awards, including the CSE Department Undergraduate Teaching Award, the College of Engineering Outstanding Teacher of the Year and the Notre Dame Edmund Joyce C.S.C Award for Excellence in Undergraduate Teaching. 

Invited Speakers

• Dr. Judy Qiu, Assistant Professor, Computer Science and Informatics, Indiana University
• Dr. Alexandru Iosup, Assistant Professor, Faculty of Engineering, Mathematics and Computer Science, Delft University of Technology, the Netherlands

Dr. Judy Qiu is an Assistant Professor in the School of Informatics and Computing at Indiana University. Her research interests are on data-intensive computing at the intersection of Cloud and multicore technologies with an emphasis on life science applications using MapReduce and traditional parallel and distributed computing approaches. Dr. Qiu leads the SALSA project in the Pervasive Technology Institute at Indiana University. Data intensive science, Cloud computing and Multicore computing are converging and will revolutionize next generation of computing in architectural design and programming challenges. They enable the pipeline: data becomes information becomes knowledge becomes wisdom.

Dr. Alexandru Iosup received his Ph.D. in Computer Science in 2009 from the Delft University of Technology (TU Delft), the Netherlands. He is currently an Assistant Professor with the Parallel and Distributed Systems Group at TU Delft. He was a visiting scholar at U. Dortmund, U.Wisconsin-Madison, U. Innsbruck, and U.California-Berkeley in 2004, 2006, 2008, and 2010, respectively. In 2011 he received a Dutch NWO/STW Veni grant (the Dutch equivalent of the US NSF CAREER.) His research interests are in the area of distributed computing; keywords: cloud computing, grid computing, peer-to-peer systems, scientific computing, massively multiplayer online games, scheduling, scalability, reliability, performance evaluation, and workload characterization. Dr. Iosup is the author of over 50 scientific publications and has received several awards and distinctions, including best paper awards at IEEE CCGrid 2010, Euro-Par 2009, and IEEE P2P 2006. He is the co-founder of the Grid Workloads, the Peer-to-Peer Trace, and the Failure Trace Archives, which provide open access to workload and resource operation traces from large-scale distributed computing environments. He is currently working on cloud resource management for e-Science and consumer workloads.

Panelists

• Dr. Robert Grossman, Professor and Director, Division of Biological Sciences & Computation Institute, University of Chicago 
• Dr. Xian-He Sun, Chair and Professor, Computer Science, Illinois Institute of Technology
• Dr. Judy Qiu, Assistant Professor, Computer Science and Informatics, Indiana University
• Dr. Alexandru Iosup, Assistant Professor, Faculty of Engineering, Mathematics and Computer Science, Delft University of Technology, the Netherlands

Dr. Robert Grossman is the Chief Research Informatics Officer (CRIO), the Director of the Initiative in Data Intensive Science and a Professor in the Division of Biological Sciences at the University of Chicago. he is also a Core Faculty and Senior Fellow at the Institute for Genomics and Systems Biology (IGSB) and the Computation Institute. His research group focuses on big data, data science, bioinformatics, cloud computing and related areas. He is also the Founder and a Partner of Open Data Group. Open Data Group has provided analytic services so that companies can build predictive models over big data since 2002. He is the Chair of the not-for-profit Open Cloud Consortium, which develops and operates clouds to support research in science, medicine, health care, and the environment. He can be reached via Linkedin Linkedin or Google+.

Dr. Xian-He Sun is the director of the SCS laboratory. He is the Chair and a professor of the Department of Computer Science at the Illinois Institute of Technology, an IEEE fellow and a guest faculty in the Division of Mathematics and Computer Science at Argonne National Laboratory. His current research interests include parallel and distributed processing, memory and I/O systems, software system for Big Data applications, and performance evaluation and optimization.

Dr. Judy Qiu is an Assistant Professor in the School of Informatics and Computing at Indiana University. Her research interests are on data-intensive computing at the intersection of Cloud and multicore technologies with an emphasis on life science applications using MapReduce and traditional parallel and distributed computing approaches. Dr. Qiu leads the SALSA projectin the Pervasive Technology Institute at Indiana University. Data intensive science, Cloud computing and Multicore computing are converging and will revolutionize next generation of computing in architectural design and programming challenges. They enable the pipeline: data becomes information becomes knowledge becomes wisdom.  in the Pervasive Technology Institute at Indiana University. Data intensive science, Cloud computing and Multicore computing are converging and will revolutionize next generation of computing in architectural design and programming challenges. They enable the pipeline: data becomes information becomes knowledge becomes wisdom.

Dr. Alexandru Iosup received his Ph.D. in Computer Science in 2009 from the Delft University of Technology (TU Delft), the Netherlands. He is currently an Assistant Professor with the Parallel and Distributed Systems Group at TU Delft. He was a visiting scholar at U. Dortmund, U.Wisconsin-Madison, U. Innsbruck, and U.California-Berkeley in 2004, 2006, 2008, and 2010, respectively. In 2011 he received a Dutch NWO/STW Veni grant (the Dutch equivalent of the US NSF CAREER.) His research interests are in the area of distributed computing; keywords: cloud computing, grid computing, peer-to-peer systems, scientific computing, massively multiplayer online games, scheduling, scalability, reliability, performance evaluation, and workload characterization. Dr. Iosup is the author of over 50 scientific publications and has received several awards and distinctions, including best paper awards at IEEE CCGrid 2010, Euro-Par 2009, and IEEE P2P 2006. He is the co-founder of the Grid Workloads, the Peer-to-Peer Trace, and the Failure Trace Archives, which provide open access to workload and resource operation traces from large-scale distributed computing environments. He is currently working on cloud resource management for e-Science and consumer workloads.