• I. Raicu is with the Illinois Institute of Technology, Chicago, IL 60616, and Argonne National Laboratory, Argonne, IL 60439.
• I.T. Foster is with the University of Chicago, Chicago, IL 60637, and Argonne National Laboratory, Argonne, IL 60439. E-mail: email@example.com.
• Y. Zhao is with the University of Electronic Science and Technology of China, Chengdu, China. E-mail: firstname.lastname@example.org.
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Ioan Raicu is an assistant professor in the Department of Computer Science at Illinois Institute of Technology (IIT), as well as a guest research faculty in the Math and Computer Science Division at Argonne National Laboratory. He is also the founder and director of the Data-Intensive Distributed Systems Laboratory at IIT. His research is in the broad area of distributed systems, with particular interests in resource management at extreme scale focusing on many-task computing, data intensive computing, cloud computing, and grid computing. His work has been funded by the NASA ARC, US DOE ASCR, US NSF/CRA CIFellows, and NSF OCI/CAREER. He is a member of the IEEE.
Ian T. Foster is a Distinguished Fellow at Argonne National Laboratory, the Arthur Holly Compton Professor in the Department of Computer Science at the University of Chicago, and director of the Computation Institute, a joint unit of the University of Chicago and Argonne. His research interests include distributed, parallel, and data-intensive computing, and the application of these methods to scientific problems. His honors include the Lovelace Medal of the British Computer Society and the IEEE Tsutomi Kanai award. He is a fellow of the American Association for the Advancement of Science, ACM, and British Computer Society. He is a member of the IEEE.
Yong Zhao is a professor in the School of Computer Science and Engineering, University of Electronic Science and Technology of China. Before joining the university, he worked at Microsoft on business intelligence projects in cloud computing. He was the key designer of the Swift parallel scripting system, a programming tool for fast, scalable, and reliable loosely-coupled parallel computation. His research areas are in cloud computing, many-task computing, and data intensive computing, with special interests in providing resource management, workflow management, high level language, and scheduling support for large scale computations in clouds and grids. He is a member of the IEEE.