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    Speed Up Big Data Analytics by Unveiling the Storage Distribution of Sub-datasets. J. Wang, X. Zhang, J. Yin, H. Wu, D. Han. IEEE Transactions on Big Data. 2016. Page 1. 2332-7790 (c) 2016 IEEE. [PDF]
  • An Innovative Approach to Bridge a Skill Gap and Grow a Workforce Pipeline: The Computer System, Cluster, and Networking Summer Institute. Carolyn Connor, Andree Jacobson, Amanda Bonnie, Gary Grider. InJournal of Education in Systems Administration (JESA), Vol 2, Number 1, 2016. [URL]
  • Load-balanced and locality-aware scheduling for dataintensive workloads at extreme scales. Ke Wang, Kan Qiao, Iman Sadooghi, Xiaobing Zhou, Tonglin Li, Michael Lang, Ioan Raicu.  Concurrency and Compuation: Practice and Experience. 2015. 00:1-29. [PDF].
  • Automated Data Partitioning for Highly Scalable and Strongly Consistent Transactions. A. Turcu, R. Palmieri, B. Ravindran and S. Hirve. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS). vol.PP, no.99, pp.1,1, 2015.
  • NSF’s PRObE CFP: 1000 Nodes for Systems Research Experiments. Garth Gibson, Gary Grider, Andree Jacobson, and Wyatt Lloyd. USENIX Login Magazine, June 2013 Issue [URL]
  • Don't Settle for Eventual Consistency. Wyatt Lloyd, Michael J. Freedman, Michael Kaminsky, David G. Andersen. 2014. Communications of the ACM. Volume 57, Issue 5. May 1, 2014 Issue. pp. 61-68. [URL]