trimming a little bit and adding in cites for maybe and jitds
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main.bib
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@ -1,13 +1,43 @@
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%% This BibTeX bibliography file was created using BibDesk.
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%% http://bibdesk.sourceforge.net/
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%% Created for Oliver Kennedy at 2015-11-06 17:11:31 -0500
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%% Created for Oliver Kennedy at 2015-11-08 16:08:56 -0500
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%% Saved with string encoding Unicode (UTF-8)
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@inproceedings{kennedy2015just,
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Author = {Kennedy, Oliver and Ziarek, Lukasz},
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Booktitle = {The Conference on Innovative Data Systems Research (CIDR)},
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Date-Added = {2015-11-08 21:08:54 +0000},
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Date-Modified = {2015-11-08 21:08:54 +0000},
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Title = {Just-In-Time Data Structures},
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Year = {2015}}
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@inproceedings{Challen:2015:MWE:2699343.2699361,
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Acmid = {2699361},
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Address = {New York, NY, USA},
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Author = {Challen, Geoffrey and Ajay, Jerry Antony and DiRienzo, Nick and Kennedy, Oliver and Maiti, Anudipa and Nandugudi, Anandatirtha and Shantharam, Sriram and Shi, Jinghao and Srinivasa, Guru Prasad and Ziarek, Lukasz},
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Booktitle = {Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications},
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Date-Added = {2015-11-08 21:08:04 +0000},
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Date-Modified = {2015-11-08 21:08:04 +0000},
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Doi = {10.1145/2699343.2699361},
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Isbn = {978-1-4503-3391-7},
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Keywords = {maybe, mobile programming, runtime adaptation, structured uncertainty},
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Location = {Santa Fe, New Mexico, USA},
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Numpages = {6},
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Pages = {105--110},
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Publisher = {ACM},
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Series = {HotMobile '15},
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Title = {Maybe We Should Enable More Uncertain Mobile App Programming},
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Url = {http://doi.acm.org/10.1145/2699343.2699361},
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Year = {2015},
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Bdsk-Url-1 = {http://doi.acm.org/10.1145/2699343.2699361},
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Bdsk-Url-2 = {http://dx.doi.org/10.1145/2699343.2699361}}
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@inproceedings{Jiang:2015:SPI:2809974.2809986,
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Acmid = {2809986},
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Author = {Jiang, Lilong and Nandi, Arnab},
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@ -35,7 +65,8 @@
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Date-Modified = {2015-11-06 22:11:31 +0000},
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Title = {{Pocket Data}: The Need for {TPC-MOBILE}},
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Url = {http://odin.cse.buffalo.edu/wp-content/uploads/2015/08/tpctc2015.pdf},
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Year = {2015}}
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Year = {2015},
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Bdsk-Url-1 = {http://odin.cse.buffalo.edu/wp-content/uploads/2015/08/tpctc2015.pdf}}
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@inproceedings{phonelab,
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Acmid = {2536718},
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@ -102,7 +133,7 @@
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Url = {http://www.cidrdb.org/cidr2013/Papers/CIDR13_Paper117.pdf},
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Year = {2013},
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Bdsk-Url-1 = {http://www.cidrdb.org/cidr2013/Papers/CIDR13_Paper117.pdf}}
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@misc{tpc-web,
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Howpublished={\url{http://www.tpc.org/}},
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Title={Transaction Processing Performance Council}
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}
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Howpublished = {\url{http://www.tpc.org/}},
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Title = {Transaction Processing Performance Council}}
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@ -1,3 +1,40 @@
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%% This BibTeX bibliography file was created using BibDesk.
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%% http://bibdesk.sourceforge.net/
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%% Created for Oliver Kennedy at 2015-11-08 16:12:05 -0500
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%% Saved with string encoding Unicode (UTF-8)
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@inproceedings{Challen:2015:MWE:2699343.2699361,
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Acmid = {2699361},
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Author = {Challen, Geoffrey and Ajay, Jerry Antony and DiRienzo, Nick and Kennedy, Oliver and Maiti, Anudipa and Nandugudi, Anandatirtha and Shantharam, Sriram and Shi, Jinghao and Srinivasa, Guru Prasad and Ziarek, Lukasz},
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Booktitle = {HotMobile},
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Date-Added = {2015-11-08 21:10:17 +0000},
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Date-Modified = {2015-11-08 21:11:34 +0000},
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Doi = {10.1145/2699343.2699361},
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Isbn = {978-1-4503-3391-7},
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Keywords = {maybe, mobile programming, runtime adaptation, structured uncertainty},
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Location = {Santa Fe, New Mexico, USA},
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Numpages = {6},
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Pages = {105--110},
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Title = {{maybe} We Should Enable More Uncertain Mobile App Programming},
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Url = {http://doi.acm.org/10.1145/2699343.2699361},
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Year = {2015},
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Bdsk-Url-1 = {http://doi.acm.org/10.1145/2699343.2699361},
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Bdsk-Url-2 = {http://dx.doi.org/10.1145/2699343.2699361}}
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@inproceedings{kennedy2015just,
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Author = {Kennedy, Oliver and Ziarek, Lukasz},
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Booktitle = {CIDR},
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Date-Added = {2015-11-08 21:10:17 +0000},
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Date-Modified = {2015-11-08 21:12:05 +0000},
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Title = {Just-In-Time Data Structures},
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Year = {2015}}
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@inproceedings{Jiang:2015:SPI:2809974.2809986,
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Acmid = {2809986},
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Author = {Jiang, Lilong and Nandi, Arnab},
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@ -14,8 +51,9 @@
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Publisher = {VLDB Endowment},
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Title = {{SnapToQuery}: Providing Interactive Feedback During Exploratory Query Specification},
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Volume = {8},
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Year = {2015}
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}
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Year = {2015},
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Bdsk-Url-1 = {http://dx.doi.org/10.14778/2809974.2809986}}
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@inproceedings{pocketdata,
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Author = {Kennedy, Oliver and Ajay, Jerry and Challen, Geoffrey and Ziarek, Lukasz},
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Booktitle = {TPC Technology Conference on Performance Evaluation \& Benchmarking},
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@ -37,8 +75,8 @@
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Pages = {706--706},
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Publisher = {ACM},
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Title = {LINQ: Reconciling Object, Relations and {XML} in the {.NET} Framework: Reconciling Object, Relations and XML in the .NET Framework},
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Year = {2006}
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}
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Year = {2006},
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Bdsk-Url-1 = {http://dx.doi.org/10.1145/1142473.1142552}}
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@inproceedings{Rompf:2015:FPS:2784731.2784760,
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Acmid = {2784760},
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@ -54,16 +92,17 @@
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Pages = {2--9},
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Publisher = {ACM},
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Title = {{Functional Pearl}: A SQL to C Compiler in 500 Lines of Code},
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Year = {2015}
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}
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Year = {2015},
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Bdsk-Url-1 = {http://dx.doi.org/10.1145/2784731.2784760}}
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@inproceedings{StatusQuo,
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Author = {Alvin Cheung and Samuel Madden and Armando Solar-Lezama and Owen Arden and Andrew C. Myers},
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Booktitle = {Conference on Innovative Data Systems Research (CIDR)},
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Date-Modified = {2015-11-06 22:04:46 +0000},
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Month = {January},
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Title = {{StatusQuo}: making familiar abstractions perform using program analysis},
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Year = {2013}
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}
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Year = {2013}}
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@inproceedings{phonelab,
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Acmid = {2536718},
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Articleno = {4},
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@ -78,5 +117,5 @@
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Numpages = {6},
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Pages = {4:1--4:6},
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Title = {{PhoneLab}: A Large Programmable Smartphone Testbed},
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Year = {2013}
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}
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Year = {2013},
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Bdsk-Url-1 = {http://dx.doi.org/10.1145/2536714.2536718}}
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@ -53,8 +53,8 @@ We propose to enable research on smartphone embedded databases through two
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infrastructure efforts: instrumentation and benchmarking.
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\textbf{Goal 1:} \textit{Develop the infrastructure required to understand
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how apps use embedded databases.}
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how apps use embedded databases.} \\[0.5mm]
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%
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As part of a preliminary investigation, we used the \PhoneLab{} smartphone
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testbed~\cite{phonelab} to deploy a version of SQLite instrumented to log
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queries and statistics, such as per-query runtime and number of rows
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@ -64,25 +64,28 @@ Even with this minimal level of instrumentation, our preliminary
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analysis~\cite{pocketdata} identified numerous opportunities for improvement:
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both in SQLite itself, and in libraries and apps that invoke SQLite.
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We propose to expand our initial instrumentation and widen our analytics
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efforts to more smartphone platforms and embedded databases.
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We propose widen our analytics
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efforts to more smartphone platforms and embedded databases
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and to expand our initial instrumentation.
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%
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For example, instrumenting event handlers or performing program analysis will
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For example, monitoring event handlers or performing program analysis will
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allow us to link individual queries to higher-level app semantics.
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%
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% Similarly, filesystem instrumentation will allow us to monitor indirect
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% database updates such as an app simply downloading an entire embedded
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% database.
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%
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The output of this part of the project will be an instrumentation and
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analysis library that can be used by both smartphone app and platform
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developers to collect and analyze data about embedded database performance.
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The result %output of this part of the project
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will be a %n instrumentation and analysis
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library that can be used
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by app and platform developers
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to collect and analyze data about embedded database performance.
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\textbf{Goal 2:} \textit{Establish a benchmark for pocket-scale data
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management systems.}
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management systems.} \\[0.5mm]
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%
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Understanding the challenges faced by mobile apps in their use of
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embedded databases will allow us to address our second goal.
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%
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@ -160,7 +163,7 @@ as GitHub, as well as hosting services provided by UB's CSE department.
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Unsurprisingly, app usage of embedded databases is quite different from the
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workloads created by database servers supporting websites, data analytics, or
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other cloud applications.
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cloud applications.
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%
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For example, while database servers are tested and tuned for high-throughput
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continuous query processing, embedded databases experience lower-throughput
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@ -197,7 +200,7 @@ In this way, we hope to spur further research on embedded databases and on
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related topics.
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%
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Performance results will also help encourage app developers to improve their
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apps, and embedded database developers improve their libraries.
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apps, and embedded database developers to improve their libraries.
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The project team unites experts with complementary expertise on databases,
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mobile systems, and program analysis.
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@ -213,11 +216,12 @@ PI Ziarek will contribute experience in program analysis and embedded
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devices.
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%
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Team members have collaborated successfully on multiple projects in the past,
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including a language construct for runtime adaptation, and adaptive index
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structures.
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including a language construct for runtime
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adaptation~\cite{Challen:2015:MWE:2699343.2699361}, and adaptive index
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structures~\cite{kennedy2015just}.
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%
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We expect to find substantial overlap between both of these projects and the
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proposed development efforts.
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% We expect to find substantial overlap between both of these projects and the
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% proposed development efforts.
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\section{Sample Research Project}
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