BibSLEIGH — Tim

Travelled to:

1 × Australia
1 × Austria
1 × Canada
1 × Greece
3 × USA

Collaborated with:

M.J.Franklin D.Kossmann J.Wang D.Florescu C.Binnig S.Loesing J.Feng S.Krishnan K.Goldberg U.Çetintemel A.Crotty A.Galakatos S.Madden M.Armbrust A.Fox D.A.Patterson S.Ramesh R.Xin R.Ramakrishnan M.Brantner D.A.Graf S.Zdonik P.M.Fischer A.Salama E.Zamanian G.Pang A.Fekete A.Doan M.Hentschel G.Alonso B.Howe D.Maier N.Tatbul E.Zgraggen G.Li G.Fourny M.Pilman M.Balazinska J.Freire J.Frew T.Milo E.Liang K.Curtis S.Merkli R.Mittal F.Pfaffhauser I.Botan R.Tamosevicius J.Meehan J.Du A.Pavlo M.Stonebraker K.Tufte H.Wang C.Ré D.Agrawal M.I.Cafarella M.I.Jordan K.Dursun J.Schaffner T.Januschowski M.Kercher H.Plattner D.Jacobs A.Feng A.Wang R.Bamford V.R.Borkar D.Muresan S.Nasoi M.Zacharioudaki C.Aslantas E.Sutherland S.B.Zdonik A.J.Elmore J.Duggan M.Stonebraker V.Gadepally J.Heer J.Kepner T.G.Mattson S.Papadopoulos J.Parkhurst M.Vartak

Talks about:

process (7) queri (7) crowdsourc (4) databas (4) crowd (4) cloud (4) data (4) system (3) architectur (2) transact (2)

Person: Tim Kraska

DBLP: Kraska:Tim

Contributed to:

2015

2014

2013

2011

2012

2011

2010

2009

2008

2007

Wrote 26 papers:

SIGMOD-2015-ReABCJKR #database #machine learning #question: Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? (CR, DA, MB, MIC, MIJ, TK, RR), pp. 283–284.
SIGMOD-2015-SalamaBKZ #cost analysis #fault tolerance #parallel: Cost-based Fault-tolerance for Parallel Data Processing (AS, CB, TK, EZ), pp. 285–297.
VLDB-2015-CrottyGDKBCZ #architecture #compilation #workflow: An Architecture for Compiling UDF-centric Workflows (AC, AG, KD, TK, CB, UÇ, SZ), pp. 1466–1477.
VLDB-2015-CrottyGZBK #interactive #named: Vizdom: Interactive Analytics through Pen and Touch (AC, AG, EZ, CB, TK), pp. 2024–2035.
VLDB-2015-ElmoreDSBCGHHKK: A Demonstration of the BigDAWG Polystore System (AJE, JD, MS, MB, UÇ, VG, JH, BH, JK, TK, SM, DM, TGM, SP, JP, NT, MV, SZ), pp. 1908–1919.
VLDB-2015-KrishnanWFGK: Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views (SK, JW, MJF, KG, TK), pp. 1370–1381.
VLDB-2015-MeehanTZACDKMMP #named #streaming #transaction: S-Store: Streaming Meets Transaction Processing (JM, NT, SZ, CA, UÇ, JD, TK, SM, DM, AP, MS, KT, HW), pp. 2134–2145.
SIGMOD-2014-HoweFFFKR #database #education #question: Should we all be teaching “intro to data science” instead of “intro to databases”? (BH, MJF, JF, JF, TK, RR), pp. 917–918.
SIGMOD-2014-PangKFF #commit #named #predict: PLANET: making progress with commit processing in unpredictable environments (GP, TK, MJF, AF), pp. 3–14.
SIGMOD-2014-WangKFGKM #framework #performance #query: A sample-and-clean framework for fast and accurate query processing on dirty data (JW, SK, MJF, KG, TK, TM), pp. 469–480.
VLDB-2014-CetintemelDKMMMPSSTTWZ #named #streaming: S-Store: A Streaming NewSQL System for Big Velocity Applications (UÇ, JD, TK, SM, DM, JM, AP, MS, ES, NT, KT, HW, SBZ), pp. 1633–1636.
SIGMOD-2013-ArmbrustLKFFP #incremental #independence: Generalized scale independence through incremental precomputation (MA, EL, TK, AF, MJF, DAP), pp. 625–636.
SIGMOD-2013-SchaffnerJKKPFJ #clustering #database #in memory #named #robust: RTP: robust tenant placement for elastic in-memory database clusters (JS, TJ, MK, TK, HP, MJF, DJ), pp. 773–784.
SIGMOD-2013-WangLKFF #crowdsourcing #transitive: Leveraging transitive relations for crowdsourced joins (JW, GL, TK, MJF, JF), pp. 229–240.
VLDB-2012-ArmbrustCKFFP11 #in the cloud #named #query: PIQL: Success-Tolerant Query Processing in the Cloud (MA, KC, TK, AF, MJF, DAP), pp. 181–192.
VLDB-2012-WangKFF #crowdsourcing #named: CrowdER: Crowdsourcing Entity Resolution (JW, TK, MJF, JF), pp. 1483–1494.
SIGMOD-2011-FranklinKKRX #crowdsourcing #named #query: CrowdDB: answering queries with crowdsourcing (MJF, DK, TK, SR, RX), pp. 61–72.
VLDB-2011-DoanFKK #crowdsourcing #data transformation #perspective #platform: Crowdsourcing Applications and Platforms: A Data Management Perspective (AD, MJF, DK, TK), pp. 1508–1509.
VLDB-2011-FengFKKMRWX #named #query: CrowdDB: Query Processing with the VLDB Crowd (AF, MJF, DK, TK, SM, SR, AW, RX), pp. 1387–1390.
SIGMOD-2010-KossmannKL #architecture #evaluation #in the cloud #transaction: An evaluation of alternative architectures for transaction processing in the cloud (DK, TK, SL), pp. 579–590.
VLDB-2010-KossmannKLMMP #composition #named: Cloudy: A Modular Cloud Storage System (DK, TK, SL, SM, RM, FP), pp. 1533–1536.
VLDB-2009-BamfordBBFFGKKMNZ #xquery: XQuery Reloaded (RB, VRB, MB, PMF, DF, DAG, DK, TK, DM, SN, MZ), pp. 1342–1353.
VLDB-2009-KraskaHAK #consistency #in the cloud #matter: Consistency Rationing in the Cloud: Pay only when it matters (TK, MH, GA, DK), pp. 253–264.
SIGMOD-2008-BrantnerFGKK #database: Building a database on S3 (MB, DF, DAG, DK, TK), pp. 251–264.
SIGMOD-2008-FournyKKPF #xquery: XQuery in the browser (GF, DK, TK, MP, DF), pp. 1337–1340.
VLDB-2007-BotanFFKKT #xquery: Extending XQuery with Window Functions (IB, PMF, DF, DK, TK, RT), pp. 75–86.