BibSLEIGH — Samuel

Travelled to:

1 × Australia
1 × Austria
1 × Greece
1 × Hungary
1 × Korea
1 × Norway
14 × USA
4 × Canada

Collaborated with:

D.J.Abadi A.Cheung E.Wu M.Stonebraker J.M.Hellerstein S.B.Zdonik A.Solar-Lezama A.Marcus M.Vartak A.Deshpande D.R.Karger M.J.Franklin E.P.C.Jones P.Cudré-Mauroux H.Kimura A.Jindal H.Balakrishnan W.Hong C.Curino B.Mozafari R.C.Miller S.Harizopoulos B.Liskov A.G.Parameswaran W.Lindner E.Lau A.Rasin O.Arden A.C.Myers M.Grund Y.Mei N.Hachem A.Thiagarajan N.Polyzotis S.Tu J.Quiané-Ruiz Y.Zhang M.Ferreira G.Huo A.Pavlo M.Balazinska M.A.Shah T.Kraska M.S.Bernstein O.Badar T.Ge M.I.Jordan P.Indyk N.Sundaram S.Agarwal I.Stoica D.Maier M.F.Kaashoek N.Zeldovich B.Vandiver K.J.Hollenbach V.Liang J.Schuler V.Raman M.Stonebraker U.Çetintemel N.Tatbul D.J.DeWitt P.Sarkar S.Rahman W.Zheng E.Kohler R.Miller S.Oh D.R.K.Ports A.T.Clements I.Zhang R.Newton L.Girod M.B.Craig J.G.Morrisett C.Guestrin A.Kim E.Blais R.Rubinfeld R.Taft N.R.Satish P.Rawlani A.Panda A.P.Iyer J.Krüger H.Plattner A.Zeier P.Helland A.Rasin J.Meehan J.Du K.Tufte H.Wang A.Turmukhametova N.Satish T.Mostak P.Dubey E.Paulson S.Zdonik H.Milner A.Kleiner A.Talwalkar A.Feng D.Kossmann S.Ramesh A.Wang R.Xin Z.Khayyat I.F.Ilyas M.Ouzzani P.Papotti N.Tang S.Yin V.Bychkovsky K.Chen M.Goraczko H.Hu B.Hull A.Miu E.Shih S.Chandrasekaran O.Cooper S.Krishnamurthy F.Reiss R.Kallman J.Natkins J.Hugg C.Aslantas E.Sutherland A.Batkin X.Chen M.Cherniack A.Lin E.J.O'Neil P.E.O'Neil N.Tran K.Lim J.Rogers R.Simakov E.Soroush P.Velikhov D.L.Wang J.Becla B.Heath J.M.Patel A.J.Elmore J.Duggan V.Gadepally J.Heer B.Howe J.Kepner T.G.Mattson S.Papadopoulos J.Parkhurst

Talks about:

queri (16) databas (14) system (14) data (13) process (8) stream (8) demonstr (7) sensor (7) store (7) network (6)

Person: Samuel Madden

DBLP: Madden:Samuel

Contributed to:

2015

2014

2013

2012

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

Wrote 70 papers:

SIGMOD-2015-KhayyatIJMOPQ0Y #big data #named: BigDansing: A System for Big Data Cleansing (ZK, IFI, AJ, SM, MO, PP, JAQR, NT, SY), pp. 1215–1230.
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-KimBPIMR #agile #visualisation: Rapid Sampling for Visualizations with Ordering Guarantees (AK, EB, AGP, PI, SM, RR), pp. 521–532.
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.
VLDB-2015-MozafariSFJM14 #dataset #learning #scalability: Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning (BM, PS, MJF, MIJ, SM), pp. 125–136.
VLDB-2015-VartakRMPP #data-driven #named #performance #recommendation #visual notation #visualisation: SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics (MV, SR, SM, AGP, NP), pp. 2182–2193.
SIGMOD-2014-AgarwalMKTJMMS #approximate #performance #query #reliability: Knowing when you’re wrong: building fast and reliable approximate query processing systems (SA, HM, AK, AT, MIJ, SM, BM, IS), pp. 481–492.
SIGMOD-2014-CheungMS #database #lazy evaluation #named #query: Sloth: being lazy is a virtue (when issuing database queries) (AC, SM, ASL), pp. 931–942.
SIGMOD-2014-TaftVSSMS #benchmark #metric #named: GenBase: a complex analytics genomics benchmark (RT, MV, NRS, NS, SM, MS), pp. 177–188.
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.
VLDB-2014-JindalR0MDS #exclamation #graph #named #relational: VERTEXICA: Your Relational Friend for Graph Analytics! (AJ, PR, EW, SM, AD, MS), pp. 1669–1672.
VLDB-2014-VartakMPP #automation #generative #named #query #visualisation: SEEDB: Automatically Generating Query Visualizations (MV, SM, AGP, NP), pp. 1581–1584.
PLDI-2013-CheungSM #optimisation #query #synthesis: Optimizing database-backed applications with query synthesis (AC, ASL, SM), pp. 3–14.
SIGMOD-2013-CheungAMM #database: Speeding up database applications with Pyxis (AC, OA, SM, ACM), pp. 969–972.
SIGMOD-2013-JindalQM #flexibility #named: CARTILAGE: adding flexibility to the Hadoop skeleton (AJ, JAQR, SM), pp. 1057–1060.
SIGMOD-2013-MozafariCJM #modelling #performance: Performance and resource modeling in highly-concurrent OLTP workloads (BM, CC, AJ, SM), pp. 301–312.
SIGMOD-2013-VartakM #named #recommendation: CHIC: a combination-based recommendation system (MV, SM), pp. 981–984.
SOSP-2013-TuZKLM #database #in memory #manycore #transaction: Speedy transactions in multicore in-memory databases (ST, WZ, EK, BL, SM), pp. 18–32.
VLDB-2013-0002KMMO12: Counting with the Crowd (AM, DRK, SM, RM, SO), pp. 109–120.
VLDB-2013-0002M #named #query: Scorpion: Explaining Away Outliers in Aggregate Queries (EW, SM), pp. 553–564.
VLDB-2013-SundaramTSMIMD #parallel #similarity #streaming #twitter #using: Streaming Similarity Search over one Billion Tweets using Parallel Locality-Sensitive Hashing (NS, AT, NS, TM, PI, SM, PD), pp. 1930–1941.
VLDB-2013-TuKMZ #query: Processing Analytical Queries over Encrypted Data (ST, MFK, SM, NZ), pp. 289–300.
CIKM-2012-CheungSM #recommendation #social #synthesis #using: Using program synthesis for social recommendations (AC, ASL, SM), pp. 1732–1736.
VLDB-2012-AgarwalPMIMS #interactive #query #scalability: Blink and It’s Done: Interactive Queries on Very Large Data (SA, AP, BM, API, SM, IS), pp. 1902–1905.
VLDB-2012-CheungAMM #automation #clustering #database: Automatic Partitioning of Database Applications (AC, OA, SM, ACM), pp. 1471–1482.
VLDB-2012-MarcusWKMM11: Human-powered Sorts and Joins (AM, EW, DRK, SM, RCM), pp. 13–24.
VLDB-2012-WuMS #query: A Demonstration of DBWipes: Clean as You Query (EW, SM, MS), pp. 1894–1897.
CHI-2011-MarcusBBKMM #microblog #named #visualisation: Twitinfo: aggregating and visualizing microblogs for event exploration (AM, MSB, OB, DRK, SM, RCM), pp. 227–236.
ESEC-FSE-2011-CheungSM: Partial replay of long-running applications (AC, ASL, SM), pp. 135–145.
SIGMOD-2011-CurinoJMB #database #monitoring: Workload-aware database monitoring and consolidation (CC, EPCJ, SM, HB), pp. 313–324.
SIGMOD-2011-MarcusBBKMM #twitter: Tweets as data: demonstration of TweeQL and Twitinfo (AM, MSB, OB, DRK, SM, RCM), pp. 1259–1262.
SIGMOD-2011-MarcusWKMM #query: Demonstration of Qurk: a query processor for humanoperators (AM, EW, DRK, SM, RCM), pp. 1315–1318.
VLDB-2011-FengFKKMRWX #named #query: CrowdDB: Query Processing with the VLDB Crowd (AF, MJF, DK, TK, SM, SR, AW, RX), pp. 1387–1390.
VLDB-2011-GrundCM #hybrid #in memory #memory management: A Demonstration of HYRISE — A Main Memory Hybrid Storage Engine (MG, PCM, SM), pp. 1434–1437.
VLDB-2011-GrundKPZCM10 #hybrid #in memory #memory management #named: HYRISE — A Main Memory Hybrid Storage Engine (MG, JK, HP, AZ, PCM, SM), pp. 105–116.
OSDI-2010-PortsCZML #automation #consistency #transaction: Transactional Consistency and Automatic Management in an Application Data Cache (DRKP, ATC, IZ, SM, BL), pp. 279–292.
SIGMOD-2010-JonesAM #concurrent #database #in memory #memory management: Low overhead concurrency control for partitioned main memory databases (EPCJ, DJA, SM), pp. 603–614.
VLDB-2010-CurinoZJM #approach #clustering #database #named #replication: Schism: a Workload-Driven Approach to Database Replication and Partitioning (CC, YZ, EPCJ, SM), pp. 48–57.
VLDB-2010-KimuraHRMZ #correlation #database #design #named: CORADD: Correlation Aware Database Designer for Materialized Views and Indexes (HK, GH, AR, SM, SBZ), pp. 1103–1113.
VLDB-2010-KimuraMZ #database #named #nondeterminism: UPI: A Primary Index for Uncertain Databases (HK, SM, SBZ), pp. 630–637.
SIGMOD-2009-GeZM #nondeterminism #query: Top-k queries on uncertain data: on score distribution and typical answers (TG, SBZ, SM), pp. 375–388.
SIGMOD-2009-MeiM #adaptation #cost analysis #detection #named #query: ZStream: a cost-based query processor for adaptively detecting composite events (YM, SM), pp. 193–206.
SIGMOD-2009-PavloPRADMS #comparison #data analysis #scalability: A comparison of approaches to large-scale data analysis (AP, EP, AR, DJA, DJD, SM, MS), pp. 165–178.
VLDB-2009-Cudre-MaurouxKLRSSVWBBDHMMPSZ: A Demonstration of SciDB: A Science-Oriented DBMS (PCM, HK, KTL, JR, RS, ES, PV, DLW, MB, JB, DJD, BH, DM, SM, JMP, MS, SBZ), pp. 1534–1537.
VLDB-2009-KimuraHRMZ #correlation #dependence #functional: Correlation Maps: A Compressed Access Method for Exploiting Soft Functional Dependencies (HK, GH, AR, SM, SBZ), pp. 1222–1233.
VLDB-2009-WuCM: Demonstration of the TrajStore System (EW, PCM, SM), pp. 1554–1557.
LCTES-2008-NewtonGCMM #compilation #design #embedded #evaluation #source code: Design and evaluation of a compiler for embedded stream programs (RN, LG, MBC, SM, JGM), pp. 131–140.
SIGMOD-2008-AbadiMH #how #question: Column-stores vs. row-stores: how different are they really? (DJA, SM, NH), pp. 967–980.
SIGMOD-2008-HarizopoulosAMS #what: OLTP through the looking glass, and what we found there (SH, DJA, SM, MS), pp. 981–992.
SIGMOD-2008-ThiagarajanM #database #query: Querying continuous functions in a database system (AT, SM), pp. 791–804.
VLDB-2008-CheungM #framework #monitoring #performance #profiling: Performance profiling with EndoScope, an acquisitional software monitoring framework (AC, SM), pp. 42–53.
VLDB-2008-KallmanKNPRZJMSZHA #distributed #in memory #memory management #named #transaction: H-store: a high-performance, distributed main memory transaction processing system (RK, HK, JN, AP, AR, SBZ, EPCJ, SM, MS, YZ, JH, DJA), pp. 1496–1499.
SOSP-2007-VandiverBLM #commit #fault #scheduling #transaction #using: Tolerating byzantine faults in transaction processing systems using commit barrier scheduling (BV, HB, BL, SM), pp. 59–72.
VLDB-2007-AbadiMMH #clustering #data transformation #scalability #semantics #using #web: Scalable Semantic Web Data Management Using Vertical Partitioning (DJA, AM, SM, KJH), pp. 411–422.
VLDB-2007-StonebrakerMAHHH #architecture: The End of an Architectural Era (It’s Time for a Complete Rewrite) (MS, SM, DJA, SH, NH, PH), pp. 1150–1160.
SIGMOD-2006-AbadiMF #database #execution: Integrating compression and execution in column-oriented database systems (DJA, SM, MF), pp. 671–682.
SIGMOD-2006-BychkovskyCGHHMSZBM #data transformation #mobile: Data management in the CarTel mobile sensor computing system (VB, KC, MG, HH, BH, AM, ES, YZ, HB, SM), pp. 730–732.
SIGMOD-2006-DeshpandeM #database #modelling #named: MauveDB: supporting model-based user views in database systems (AD, SM), pp. 73–84.
VLDB-2006-HarizopoulosLAM #database #performance #trade-off: Performance Tradeoffs in Read-Optimized Databases (SH, VL, DJA, SM), pp. 487–498.
VLDB-2006-LauM #approach #distributed: An Integrated Approach to Recovery and High Availability in an Updatable, Distributed Data Warehouse (EL, SM), pp. 703–714.
SIGMOD-2005-BalazinskaBMS #distributed #fault tolerance: Fault-tolerance in the Borealis distributed stream processing system (MB, HB, SM, MS), pp. 13–24.
VLDB-2005-AbadiML #detection #named #network #performance #robust: REED: Robust, Efficient Filtering and Event Detection in Sensor Networks (DJA, SM, WL), pp. 769–780.
VLDB-2005-StonebrakerABCCFLLMOORTZ #named: C-Store: A Column-oriented DBMS (MS, DJA, AB, XC, MC, MF, EL, AL, SM, EJO, PEO, AR, NT, SBZ), pp. 553–564.
VLDB-2004-AbadiLMS #data type #framework #integration #network: An Integration Framework for Sensor Networks and Data Stream Management Systems (DJA, WL, SM, JS), pp. 1361–1364.
VLDB-2004-DeshpandeGMHH #modelling #network: Model-Driven Data Acquisition in Sensor Networks (AD, CG, SM, JMH, WH), pp. 588–599.
SIGMOD-2003-ChandrasekaranCDFHHKMRS #data flow #named: TelegraphCQ: Continuous Dataflow Processing (SC, OC, AD, MJF, JMH, WH, SK, SM, FR, MAS), p. 668.
SIGMOD-2003-MaddenFHH #design #network #query: The Design of an Acquisitional Query Processor For Sensor Networks (SM, MJF, JMH, WH), pp. 491–502.
OSDI-2002-MaddenFHH #ad hoc #named #network: TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks (SM, MJF, JMH, WH), pp. 131–146.
SIGMOD-2002-MaddenH #network #power management #query: Distributing queries over low-power wireless sensor networks (SM, JMH), p. 622.
SIGMOD-2002-MaddenSHR #adaptation #query: Continuously adaptive continuous queries over streams (SM, MAS, JMH, VR), pp. 49–60.