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reorg and adding CoIs

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Oliver Kennedy 2016-01-19 20:20:19 -05:00
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commit 21057f64b4
18 changed files with 171 additions and 20 deletions
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biosketches/Makefile → bios/Makefile
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biosketches/biosketches.tex → bios/biosketches.tex
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Sharad Agarwal (Microsoft Research)
Nilanjan Banerjee (University of Maryland)
Milind Buddhikot (Bell Labs)
Yih-Farn Chen (AT\&T Labs Research)
Murat Demirbas (University at Buffalo)
Prabal Dutta (University of Michigan)
Wen Dong (University at Buffalo)
Carla Schlatter Ellis (Duke University)
Shyamnath Gollakota (University of Washington)
Michelle Gong (Google)
Marco Gruteser (Rutgers University)
Mark Hempstead (Drexel University)
Oliver Kennedy (University at Buffalo)
Robin Kravets (University of Illinois, Urbana-Champaign
Steven Y. Ko (University at Buffalo)
Tevfik Kosar (University at Buffalo)
Dimitrios Koutsonikolas (University at Buffalo)
Branislav Kusy (CSIRO)
Eyal de Lara (University of Toronto)
James Martin (Clemson University)
Tommaso Melodia (Northeastern University)
Emiliano Miluzzo (Apio Systems)
Iqbal Mohomed (IBM Research)
James Pepin (Clemson University)
Matthai Philipose (Microsoft Research)
Sami Rollins (University of San Francisco)
Margo Seltzer (Harvard University)
Ivan Seskar (Rutgers University)
Jacob Sorber (Clemson University)
Aaron Striegel (Notre Dame)
Khai N. Truong (University of Toronto)
Chunming Qiao (University at Buffalo)
Kuangching Wang (Clemson University)
Lin Zhong (Rice University)
Lukasz Ziarek (University at Buffalo)

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biosketches/common.tex → bios/common.tex
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biosketches/geoffreychallen-separate.tex → bios/geoffreychallen-separate.tex
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biosketches/geoffreychallen.tex → bios/geoffreychallen.tex
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Bios/kennedybio.tex → bios/kennedybio.tex
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Bios/okennedy_coi.txt → bios/okennedy_coi.txt
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biosketches/start.tex → bios/start.tex
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Umut Acar; CMU
Ali-Reza Adl-Tabatabai; Intel
Ethan Blanton; Fiji Systems Inc.
Patrick Eugster; Purdue University
Mathew Fluet; Rochester
Christoph Hoffman; Purdue University
Anthony Hosking; Purdue University
Suresh Jagannathan; Purdue University
Bharat Jayaraman; University at Buffalo
Oliver Kennedy; University at Buffalo
Steve Ko; University at Buffalo
Sree Harsha Konduri; Amazon
Amit Kulkarni; University at Buffalo
Zihuan Li; Purdue University
Vijay Menon; Google
Filip Pizlo; Apple Inc.
Jennifer Sartor; Ghent University
Tatiana Shpeisman; Intel
KC Sivaramakrishnan; Purdue University
Sam Tobin-Hochstadt; Indiana University
Jan Vitek; Purdue University, Fiji Systems Inc.
Adam Welc; Oracle
Yin Yan; University at Buffalo

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*-separate.pdf
.xxxnote
*.swp
*.aux
*.log
*.out
*.bbl
*.blg
.deps

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sections/1-4-visualization.tex
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@ -6,5 +6,5 @@ Compounding the issue, the comparatively high complexity many of the the queries
Our preliminary analysis required repeated iterations of our feature extraction process: We would define a procedure for extracting interesting features of a sql query parse tree, construct a visualization from the extracted feature, and then identify a new feature of interest.
As part of the proposed work, we will release tools for analyzing query logs that streamline this iterative process, by making it easy define new feature extractors.
As feature extraction is an embarrassingly parallel task, simple optimizations like caching, parallelism, and incremental computation~\cite{kennedy2011dbtoaster} can be used to make these tools extremely efficient\footnote{As a comment on the utility of such tools, a group project in a course co-taught by PIs Kennedy and Ziarek involved analyzing \PocketData{} logs. The students began with a naive analysis tool (written by the students in Java) that took multiple hours to run. By the end of the course, they had optimized the tool to run in under 10 seconds~\cite{ramamurthy2015pocketdata}.}.
As feature extraction is an embarrassingly parallel task, simple optimizations like caching, parallelism, and incremental computation~\cite{kennedy2011dbtoaster} can be used to make these tools extremely efficient\footnote{As a comment on the utility of specialized tools for log analysis, the previously mentioned group project in CSE-662 involved analyzing \PocketData{} logs. The students began with a naive analysis tool (written by the students in Java) that took multiple hours to run. By the end of the course, they had optimized the tool to run in under 10 seconds~\cite{ramamurthy2015pocketdata}.}.
Source code for all visualizations that we release as part of our summary metrics will be released to the public to further encourage community participation in \PocketData{}.

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sections/1-description.tex
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@ -46,9 +46,9 @@ management, both in academia and by industry:
database responsiveness, and database performance on smartphones and tablets.
\item Saarland University's Janiform Document project explores interactive
manuscripts that include embedded, query-able research data and visualizations.
\item Oracle, SAP Labs, Facebook, LMDB, SQLite, and WiredTiger are all actively
\item Oracle, SAP Labs, Facebook, LMDB, SQLite, and MongoDB are all actively
engaged in research and development of embedded database software.
\item Atanas Rountev's group at Ohio State is exploring responsiveness issues
\item The Presto group at Ohio State is exploring responsiveness issues
in Android caused by data-flow limitations.
\item The DAS Lab at Harvard's work on adaptive data management considers
the challenges of specializing databases for small data.

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sections/2-research.tex
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@ -83,7 +83,8 @@ As already noted above, many of these statistics are available at compile time,
\textbf{Infrastructure Justification:} Realistic evaluation of embedded databases and database compilers requires realistic workloads. Moreover, smartphones are one of the most prolific examples of embedded databases deployed in the wild. Given the variation in smartphone apps' data management requirements, even limited data releases by a single app developer will not be representative. The metrics we will gather, and the benchmark we are proposing will be key to helping researchers evaluate new embedded database tools.
\textbf{Community Interest:} \textit{Michael Brey} of Oracle is interested in participating in the \PocketData{} community to advance research on embedded databases.
\textbf{Community Interest:} \textit{Ashok Joshi} and \textit{Michael Brey} of Oracle are interested in participating in the \PocketData{} community to advance research on embedded databases.
\citedquote{Ashok Joshi (Senior Director at Oracle)}{I got some feedback from one of my colleagues on this topic. Yes, the real-world traces of embedded data usage would be useful; so would the benchmarking toolkit.}
\citedquote{Michael Brey (Oracle's BerkeleyDB Team)}{Within Oracle, we are always looking at how the industry both consumer and enterprise is using data in mobile applications. Things like db size, access patterns, single/multi user (multiple apps accessing same db), speed of access required, record size/structure etc. are all important to understand. We are also very interested in the movement of data from the device to some backend repository.}
%Additionally, PI Kennedy will make use of the same resources in his efforts on incremental computation.

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sections/3-community.tex
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@ -25,21 +25,22 @@ our current efforts toward building a community and the community's support for
\begin{figure}[th]
\begin{center}
\begin{tabular}{rl||c|l}
\begin{tabular}{rl||c|c}
\hline
researcher & affiliation & research area & enabled research \\ \hline
\textbf{researcher} & \textbf{affiliation} & \textbf{research area} & \textbf{enabled research} \\ \hline
Stratos Idreos & \emph{Harvard} & Databases & Adaptive indexes\\
Arnab Nandi & \emph{Ohio State} & Databases/HCI & Interactive analytics\\
Nasko Routnev & \emph{Ohio State}& Programming Languages & Mobile data flow analysis\\
Michael Brey & \emph{Oracle } & Databases/Mobile Systems & Embedded DB performance\\
Meikel Poess & \emph{Oracle} & Databases & Performance analytics \\
Raghunath Nambiar & \emph{Cisco} & Databases & Performance analytics \\
Reza Taheri & \emph{VMWare} & Databases & Performance analytics \\
Ashok Joshi & \emph{Oracle} & Databases & Embedded DB performance\\
Michael Brey & \emph{Oracle} & Databases/Mobile Systems & Embedded DB performance\\
Meikel Poess & \emph{Oracle} & Databases & Performance measurement \\
Raghunath Nambiar & \emph{Cisco} & Databases & Performance measurement \\
Reza Taheri & \emph{VMWare} & Databases & Performance measurement \\
Jens Dittrich & \emph{Saarland University}& Databases/Mobile Systems & Small-data analytics \\
Sharad Agarwal & \emph{Microsoft}& Mobile Systems/Sensing & Mobile systems privacy \\ \hline
\end{tabular}
\end{center}
\caption{Enabled Research}
\caption{Community Interest in }
\label{tab:enabled}
\end{figure}

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A. Collaborators for Oliver Kennedy; SUNY Buffalo; PI
1. Sumit Agarwal; Unknown
2. Yanif Ahmad; Johns Hopkins University
3. Jerry Antony Ajay; University at Buffalo
4. Daniel Bellinger; Global Foundries
5. Geoffrey Challen; University at Buffalo
6. Sharath Chandrashekhara; University at Buffalo
7. Jan Chomicki; University at Buffalo
8. Nick DiRienzo; University at Buffalo
9. Ronny Fehling; Oracle
10. Dieter Gawlick; Oracle
11. Boris Glavic; Illinois Inst. Tech.
12. Zhen Hua-Liu; Oracle
13. Kyungho Jeon; University at Buffalo
14. Steven Y. Ko; University at Buffalo
15. Christoph Koch; EPFL
16. Steve Lee; Microsoft Corp.
17. Charles Loboz; Microsoft Corp.
18. Daniel Lupei; EPFL
19. Anudipa Maiti; University at Buffalo
20. Shikhar Mehra; University at Buffalo
21. Niccolò Meneghetti; University at Buffalo
22. Arindam Nandi; University at Buffalo
23. Anandatirtha Nandugudi; University at Buffalo
24. Suman Nath; Microsoft Research
25. Milos Nicolic; EPFL
26. Andres Nötzli; Stanford
27. Amir Shaikhana; EPFL
28. Sriram Shantharam; University at Buffalo
29. Feng Shen; University at Buffalo
30. Jinghao Shi; University at Buffalo
31. Slawek Smyl; Microsoft Corp.
32. Guru Prasad Srinivasa; University at Buffalo
33. Ankur Upadhyay; FactSet
34. Ying Yang; University at Buffalo
35. Lukasz Ziarek; University at Buffalo
B. Collaborators for Lukasz Ziarek; SUNY Buffalo; Co-PI
1. Umut Acar; CMU
2. Ali-Reza Adl-Tabatabai; Intel
3. Ethan Blanton; Fiji Systems Inc.
4. Patrick Eugster; Purdue University
5. Mathew Fluet; Rochester
6. Christoph Hoffman; Purdue University
7. Anthony Hosking; Purdue University
8. Suresh Jagannathan; Purdue University
9. Bharat Jayaraman; University at Buffalo
10. Oliver Kennedy; University at Buffalo
11. Steve Ko; University at Buffalo
12. Sree Harsha Konduri; Amazon
13. Amit Kulkarni; University at Buffalo
14. Zihuan Li; Purdue University
15. Vijay Menon; Google
16. Filip Pizlo; Apple Inc.
17. Jennifer Sartor; Ghent University
18. Tatiana Shpeisman; Intel
19. KC Sivaramakrishnan; Purdue University
20. Sam Tobin-Hochstadt; Indiana University
21. Jan Vitek; Purdue University, Fiji Systems Inc.
22. Adam Welc; Oracle
23. Yin Yan; University at Buffalo
C. Collaborators for Geoffrey Challen; SUNY Buffalo; Co-PI
1. Sharad Agarwal; Microsoft Research
2. Nilanjan Banerjee; University of Maryland
3. Milind Buddhikot; Bell Labs
4. Yih-Farn Chen; AT&T Labs Research
5. Murat Demirbas; University at Buffalo
6. Prabal Dutta; University of Michigan
7. Wen Dong; University at Buffalo
8. Carla Schlatter Ellis; Duke University
9. Shyamnath Gollakota; University of Washington
10. Michelle Gong; Google
11. Marco Gruteser; Rutgers University
12. Mark Hempstead; Drexel University
13. Oliver Kennedy; University at Buffalo
14. Robin Kravets; University of Illinois, Urbana-Champaig
15. Steven Y. Ko; University at Buffalo
16. Tevfik Kosar; University at Buffalo
17. Dimitrios Koutsonikolas; University at Buffalo
18. Branislav Kusy; CSIRO
19. Eyal de Lara; University of Toronto
20. James Martin; Clemson University
21. Tommaso Melodia; Northeastern University
22. Emiliano Miluzzo; Apio Systems
23. Iqbal Mohomed; IBM Research
24. James Pepin; Clemson University
25. Matthai Philipose; Microsoft Research
26. Sami Rollins; University of San Francisco
27. Margo Seltzer; Harvard University
28. Ivan Seskar; Rutgers University
29. Jacob Sorber; Clemson University
30. Aaron Striegel; Notre Dame
31. Khai N. Truong; University of Toronto
32. Chunming Qiao; University at Buffalo
33. Kuangching Wang; Clemson University
34. Lin Zhong; Rice University
35. Lukasz Ziarek; University at Buffalo

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-- List of Personnel --
1. Oliver Kennedy; University at Buffalo, SUNY; PI
2. Lukasz Ziarek; University at Buffalo, SUNY; Co-PI
3. Geoffrey Challen; University at Buffalo, SUNY; Co-PI