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Tevfik Kosar
  • Male
  • Buffalo, NY
  • United States
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Short Bio:
Tevfik Kosar is an Associate Professor in the
Department of Computer Science and Engineering,
University at Buffalo. Prior to joining UB, Kosar was with the Center for Computation and Technology (CCT) and the Department of Computer Science at Louisiana State University. He holds a B.S. degree in Computer Engineering from Bogazici University,
Istanbul, Turkey and an M.S. degree in Computer Science from Rensselaer Polytechnic Institute, Troy, NY. Dr. Kosar has received his Ph.D. in Computer Science from the University of
Wisconsin-Madison. Dr. Kosar’s main research interests lie in the cross-section of petascale distributed systems, eScience, Grids, Clouds, and collaborative computing with a focus on large-scale data-intensive distributed applications. He is the primary designer and developer of the Stork distributed data scheduling system, and the lead investigator of the state-wide PetaShare distributed storage network in Louisiana. Some of the awards received by Dr. Kosar include NSF CAREER Award, LSU Rainmaker Award, LSU Flagship
Faculty Award, Baton Rouge Business Report’s Top 40 Under 40 Award, and 1012 Corridor’s Young Scientist Award.
Field of Expertise:
Big Data, Data Science, Storage, Cloud
Years of Experience in Analytical Role:
16
Professional Status
Professor
My Website or LinkedIn Profile (URL):
http://cse.buffalo.edu/~tkosar
Your Company:
University at Buffalo (SUNY)
Industry
Education, Research
What other website do you recommend?
http://magnus-notitia.blogspot.com

Tevfik Kosar's Blog

Step-by-Step Guidelines to Optimize Big Data Transfers

Posted on August 4, 2015 at 5:28am 0 Comments

Transferring large datasets especially with heterogeneous file sizes (i.e. many small and large files together) causes inefficient utilization of the available network bandwidth. Small file transfers may cause the underlying transfer protocol not reaching the full network utilization due to short-duration transfers and connection start up/tear down overhead; and large file transfers may suffer from protocol inefficiency and end-system limitations.

Application-level TCP tuning…

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