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The ACM/IEEE SC25 Test of Time Committee will bestow its to an Illinois Tech faculty member and his collaborators for their contributions to a pioneering data transfer framework at the ACM/IEEE in St. Louis on November 18.

Professor of Computer Science Ioan Raicu was a first-year Ph.D. student at the University of �鶹APP who was working with adviser Ian Foster when he co-authored the paper, titled “.”

The paper, published in 2005 and selected as this year’s Test of Time award winner, outlined a new method of moving massive amounts of data securely by stripping the data into pieces and processing it through various channels simultaneously rather than sending massive files at once. It set the foundation for massive data transfer that helped enable scientific discoveries such as telescope sky surveys, large particle accelerator analysis, and genomic studies, according to the Test of Time Award committee.

“The Globus Striped GridFTP paper represents a milestone in data movement for computational science,” SC 25 Test of Time Committee Chair Bill Gropp said in a release about the award. “Its approach has been widely adopted and remains a critical part of the community’s infrastructure. Few technologies have had such a lasting impact, and this paper represents perfectly what our Test of Time Award is all about.”

GridFTP’s innovation helped send massive amounts of data from a variety of storage systems, computing units, firewalls, and formats more quickly than the previously available methods. The open-source framework proved to be reliable, fast, and modular, allowing it to be used for a variety of scientific discoveries.

According to the committee, the Test of Time Award recognizes a paper submitted to the conference between 10 and 25 years prior to the current conference and has left a historical mark and impact that changed trends in high-performance computing. Its goal is to act as an incentive for researchers to send their best work to the conference.

Raicu continues his research in high-performance computing and systems, including leading the at Illinois Tech. The DataSys Lab conducts research in various areas of distributed systems with an emphasis on designing, implementing, and evaluating systems, protocols, and middleware with the goal of supporting data-intensive applications at extreme scales. The lab’s mission is to investigate challenging, high-impact research projects to support data-intensive distributed computing on a variety of systems, including many-core systems, clusters, grids, clouds, and supercomputers.