Juan A. Colmenares
e-mail: juancol [at] eecs [dot] berkeley [dot] edu
Welcome to my personal page.
I am a researcher and tech lead at Samsung Research America (SRA).
In 2013, I was an industrial researcher for Samsung in the
Ubiquitous Swarm Lab at UC Berkeley.
Previously, I was a postdoctoral scholar in the UC Berkeley's Parallel Computing Laboratory (Par Lab), working with
Prof. John D. Kubiatowicz,
Prof. Krste Asanović, and
Prof. David Wessel.
I completed my Ph.D. in the EECS Department at UC Irvine, where I had the privilege of working under
the supervision of Prof. Kwang-Hae (Kane) Kim.
Before doing my Ph.D., I was a faculty member in the
Engineering School's Applied Computing Institute at the University of Zulia, in Venezuela.
I served as its Director in 2003-2004.
My CV is here
(outdated, of course).
Post-doctoral Training. University of California, Berkeley. (September 2009 - July 2012)
Mentor: Prof. John D. Kubiatowicz.
Ph.D. in Electrical and Computer Engineering. University of California, Irvine. (March 2009)
Dissertation: Derivation of Service-time Bounds of Methods in Time-triggered Message-triggered Objects.
Advisor: Prof. K. H. (Kane) Kim
M.Sc. in Applied Computing. University of Zulia, Venezuela. (November 2001)
Thesis: Development of an Efficient Bayesian Global Optimization
Algorithm and its Integration into a Distributed Processing Environment.
Advisor: Prof. Salvador Pintos
Electrical Engineer. University of Zulia, Venezuela. (December 1997)
Ranking: #1 among 58 graduates.
- Scalable and latency-sensitive systems
- Data management and analytics for the Internet of Things
- Many-core operating systems
- Real-time distributed computing systems
- Adaptive resource centric computing
2014/01/14: I received a Samsung Outstanding Achievement Award.
2013/12/15: Our paper on KV-Cache, our in-memory key-value store prototype, was
a runner-up for the best paper award at
2013/11/14: Daniel G. Waddington, Jilong Kuang, and I won the Gold Medal at the
Samsung Best Paper Award 2013 for our work on KV-Cache.
Our submission was selected as the best paper in the software field among about
350 submissions from all Samsung branches, and it is one of the 9 Gold-Medal
winners out of over 1,700 submissions in different technical fields.
Will computer systems with performance guarantees ever go mainstream? (keynote)
Presented at the 15th IEEE International Symposium on High Assurance Systems Engineering (HASE 2014).
Miami, FL, USA. January 10, 2014.
Refactoring the OS around explicit resource containers with continuous adaptation.
Presented at the Par Lab's End of Project Celebration.
Hertz Hall. University of California at Berkeley.
Berkeley, CA, USA. May 30, 2013.
Selected Publications (Full List)
A single-node datastore for high-velocity multidimensional sensor data
IEEE BigData 2017
KV-Cache: A scalable high-performance web-object caching for manycore (Runner-up for the Best Paper Award)
Our technical report "A Scalable
High-Performance In-Memory Key-Value Cache using a Microkernel-Based Design"
contains more details and an extensive evaluation of KV-Cache.
Juggle: Addressing extrinsic load imbalances in SPMD applications on multicore computers
Cluster Computing 2013
Tessellation: Refactoring the OS around explicit resource containers with continuous adaptation
Our technical report
"Building an Adaptive Operating System for Predictability and Efficiency"
presents additional details and a more recent evaluation of our prototype.
A soft real-time, parallel GUI service in Tessellation many-core OS (Best Paper Award)
Experimental evaluation of a hybrid approach for deriving
service-time bounds of methods in real-time distributed computing
RTZen: highly predictable, real-time Java middleware for distributed and embedded systems
Surrogate modeling-based optimization for the integration of static and dynamic data into a reservoir description
Journal of Petroleum Science and Engineering 2002
Summer Student Mentoring
- 2016: Alexander Adams (Cornell) and Ying Lu (USC)
- 2015: Younghwan Go (KAIST)
- 2014: Edgar Pek (UIUC)
- 2013: Gage Eads (UC Berkeley)
Last update: October 2017.