Jeff LeFevre
Department of Computer Science
Jack Baskin School of Engineering
University of California Santa Cruz
jlefevre@cs.ucsc.edu
I am currently a Project Scientist in the
Center for Research on Open Source Software
at UC Santa Cruz, leading the Skyhook elastic database for the cloud project.
I also collaborate with the UC Santa Cruz Systems Research Lab
on storage systems research.
My primary research interests lie in both database and storage systems.
I received my PhD in June 2014 from
UC Santa Cruz Database group
and subsequently joined Hewlett Packard Advanced R&D Lab for Big Data (Vertica database) from August 2014 to September 2016,
where I worked on integrating Vertica and Apache Spark.
My PhD advisor was
Neoklis Polyzotis
and my PhD thesis title is "Physical design tuning methods for emerging system architectures".
My thesis focuses on cloud and hybrid (RDBMS + Hadoop) system architectures in the new
context of database-as-a-service;
and introduces new physical design methods for data management systems in the cloud.
Abstract,
Thesis.
Previously, I received my MS from the
University of California, San
Diego in the Systems and Networking
Group.
My MS advisor was
Walt Burkhard
and my MS thesis title is "Improving disk array performance and reliability".
Prior to that I received a BS in Computer Science & Engineering from the
University of South Florida.
During graduate school I spent several summers at NEC Labs working on CloudDB in the Data Management group,
at Google in the Platforms Storage group, and at
Teradata in the Virtual Storage Architecture group.
Current resume.
Publications
-
M. Sevilla, N. Watkins, I. Jimenez, P. Alvaro, S. Finkelstein, J. LeFevre, C. Maltzahn,
"Malacology: A Programmable Storage System",
in EuroSys 2017.
-
J. LeFevre, R. Liu, C. Inigo, M. Castellanos, L. Paz, E. Ma, M. Hsu,
"Building the Enterprise Fabric for Big Data with Vertica and Spark",
in SIGMOD 2016.
-
S. Prasad, A. Fard, V. Gupta, J. Martinez, J. LeFevre, V. Xu, M. Hsu, I. Roy,
"Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction",
in SIGMOD 2015.
-
J. LeFevre, J. Sankaranarayanan, H. Hacigumus, J. Tatemura, N. Polyzotis, M.J. Carey,
"MISO: Souping Up Big Data Query Processing with a Multistore System",
in SIGMOD 2014.
pdf.
-
J. LeFevre, J. Sankaranarayanan, H. Hacigumus, J. Tatemura, N. Polyzotis, M.J. Carey,
"Opportunistic Physical Design for Big Data Analytics",
in SIGMOD 2014.
pdf.
-
J. LeFevre, J. Sankaranarayanan, H. Hacigumus, J. Tatemura, N. Polyzotis,
"Towards a Workload for Evolutionary Analytics",
in 2nd SIGMOD Workshop
on Data Analytics in the Cloud 2013 pdf<> (extended version pdf).
-
H. Hacigumus, J. Sankaranarayanan, J. Tatemura, J. LeFevre, N. Polyzotis,
"Odyssey: a multistore system for evolutionary analytics",
in VLDB 2013.
-
M.P. Consens, K. Ioannidou, J. LeFevre, N. Polyzotis,
"Divergent Physical Design Tuning for Replicated Databases",
in SIGMOD 2012. pdf.
-
I. Jimenez, J. LeFevre, N. Polyzotis, H. Sanchez, K. Schnaitter,
"Benchmarking Online Index-Tuning Algorithms",
in
IEEE Data Engineering Bulletin 34(4) 2011.
-
J. Buck, N. Watkins, J. LeFevre, K. Ioannidou, C. Maltzahn, N. Polyzotis, S. Brandt,
"SciHadoop: Array-based Query Processing in Hadoop",
in SC 2011.
-
D. Kephart, J. LeFevre,
"CodeGen: The Generation and Testing of DNA Code Words",
in IEEE Evolutionary Computation 2004.
pdf.
Google Scholar profile
Teaching Experience
Professional Service
- Program Committee: ICDE 2016, 2018
- External Reviewer: VLDB 2015
- Reviewer: TKDE 2015, 2016
- Reviewer: DAPD 2015, 2016, 2017
