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Travelled to:
1 × Australia
1 × China
1 × Egypt
1 × Germany
1 × Greece
1 × India
1 × Ireland
1 × Italy
1 × Korea
1 × Switzerland
17 × USA
4 × Canada
Collaborated with:
S.B.Zdonik T.Kraska J.M.Hellerstein M.J.Carey I.Stoica A.Y.Halevy S.Krishnan S.Chandrasekaran S.Krishnamurthy J.Wang D.Maier M.Denny S.Madden R.S.Xin S.R.Jeffery S.Acharya M.Livny D.Kossmann B.Þ.Jónsson Y.Diao D.T.Liu T.Urhan M.N.Garofalakis P.Bailis W.Hong M.Altinel L.Amsaleg K.Goldberg S.Venkataraman S.Rizvi A.Fekete M.Armbrust D.A.Patterson D.Srivastava L.Sun D.Aksoy R.Xin A.Fox J.Feng D.Z.Wang A.Doan A.Ghodsi M.Zaharia C.Wu D.Parekh M.Cherniack O.Gruber M.Zaharioudakis S.Ramesh E.Wu S.Shenker D.J.DeWitt C.K.Tan M.J.Zwilling A.Edakkunni J.Patel G.Pang G.Jacobson M.A.Hammad W.G.Aref A.K.Elmagarmid R.Alonso E.J.Shekita O.Cooper F.Reiss D.Haas B.Mozafari P.Sarkar M.I.Jordan A.Panda G.Ananthanarayanan G.Li M.L.Wick S.Amer-Yahia J.M.Kleinberg N.Koudas B.F.Cooper N.Sample G.R.Hjaltason M.Shadmon S.Dar M.Tan J.E.Gonzalez A.Dave D.Crankshaw B.Howe J.Freire J.Frew R.Ramakrishnan T.Milo E.Liang J.Rosen K.Curtis M.L.Kersten G.Weikum D.A.Keim A.P.Buchmann S.Chaudhuri T.Baby W.Shapiro J.Schaffner T.Januschowski M.Kercher H.Plattner D.Jacobs C.Engle A.Lupher J.Davis D.Farina P.Golovko A.Li N.Thombre N.Burkhart L.Liang A.Feng A.Wang S.Tu N.Lanham B.Trushkowsky J.Trutna A.Deshpande M.A.Shah C.Lian Y.Huai D.Liu J.K.Bradley X.Meng T.Kaftan N.E.Hall M.L.McAuliffe J.F.Naughton D.T.Schuh M.H.Solomon O.G.Tsatalos S.J.White F.A.Nothaft M.Massie T.Danford Z.Zhang U.Laserson C.Yeksigian J.Kottalam A.Ahuja J.Hammerbacher M.Linderman A.D.Joseph
Talks about:
data (25) queri (14) databas (10) process (9) system (9) stream (8) manag (8) server (7) client (6) crowd (6)

Person: Michael J. Franklin

DBLP DBLP: Franklin:Michael_J=

Facilitated 1 volumes:


Contributed to:

SIGMOD 20152015
VLDB 20152014
VLDB 20152015
OSDI 20142014
RecSys 20142014
SIGMOD 20142014
VLDB 20142014
SIGMOD 20132013
SIGMOD 20122012
VLDB 20122011
VLDB 20122012
SIGMOD 20112011
VLDB 20112011
SIGMOD 20102010
VLDB 20102010
SIGMOD 20082008
VLDB 20082008
KR 20062006
PODS 20062006
SIGMOD 20062006
VLDB 20062006
SIGMOD 20052005
VLDB 20042004
SIGMOD 20032003
VLDB 20032003
OSDI 20022002
VLDB 20022002
VLDB 20012001
VLDB 20002000
SIGMOD 19991999
SIGMOD 19981998
OOPSLA 19971997
SIGMOD 19971997
SIGMOD 19961996
VLDB 19961996
SIGMOD 19951995
VLDB 19951995
SIGMOD 19941994
VLDB 19931993
SIGMOD 19921992
VLDB 19921992
SIGMOD 19911991

Wrote 76 papers:

SIGMOD-2015-ArmbrustXLHLBMK #relational #sql
Spark SQL: Relational Data Processing in Spark (MA, RSX, CL, YH, DL, JKB, XM, TK, MJF, AG, MZ), pp. 1383–1394.
SIGMOD-2015-BailisFFGHS #concurrent #empirical
Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity (PB, AF, MJF, AG, JMH, IS), pp. 1327–1342.
SIGMOD-2015-NothaftMDZLYKAH #data-driven #scalability #using
Rethinking Data-Intensive Science Using Scalable Analytics Systems (FAN, MM, TD, ZZ, UL, CY, JK, AA, JH, ML, MJF, ADJ, DAP), pp. 631–646.
VLDB-2015-BailisFFGHS14 #coordination #database
Coordination Avoidance in Database Systems (PB, AF, MJF, AG, JMH, IS), pp. 185–196.
VLDB-2015-HaasKWF0 #framework #named #scalability
Wisteria: Nurturing Scalable Data Cleaning Infrastructure (DH, SK, JW, MJF, EW), pp. 2004–2015.
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views (SK, JW, MJF, KG, TK), pp. 1370–1381.
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.
OSDI-2014-GonzalezXDCFS #data flow #distributed #framework #graph #named
GraphX: Graph Processing in a Distributed Dataflow Framework (JEG, RSX, AD, DC, MJF, IS), pp. 599–613.
OSDI-2014-VenkataramanPAFS #clustering #power of #scheduling
The Power of Choice in Data-Aware Cluster Scheduling (SV, AP, GA, MJF, IS), pp. 301–316.
RecSys-2014-KrishnanPFG #bias #learning #recommendation #social
A methodology for learning, analyzing, and mitigating social influence bias in recommender systems (SK, JP, MJF, KG), pp. 137–144.
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-SunFKX #clustering #fine-grained
Fine-grained partitioning for aggressive data skipping (LS, MJF, SK, RSX), pp. 1115–1126.
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-SunKXF #clustering #framework
A Partitioning Framework for Aggressive Data Skipping (LS, SK, RSX, MJF), pp. 1617–1620.
SIGMOD-2013-ArmbrustLKFFP #incremental #independence
Generalized scale independence through incremental precomputation (MA, EL, TK, AF, MJF, DAP), pp. 625–636.
SIGMOD-2013-BailisVFHS #consistency #data transformation #metric
PBS at work: advancing data management with consistency metrics (PB, SV, MJF, JMH, IS), pp. 1113–1116.
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.
SIGMOD-2013-XinRZFSS #named #scalability #sql
Shark: SQL and rich analytics at scale (RSX, JR, MZ, MJF, SS, IS), pp. 13–24.
SIGMOD-2012-EngleLXZFSS #data analysis #distributed #memory management #named #performance #using
Shark: fast data analysis using coarse-grained distributed memory (CE, AL, RX, MZ, MJF, SS, IS), pp. 689–692.
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-BailisVFHS #bound
Probabilistically Bounded Staleness for Practical Partial Quorums (PB, SV, MJF, JMH, IS), pp. 776–787.
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.
SIGMOD-2011-WangFGHW #declarative #hybrid #information management
Hybrid in-database inference for declarative information extraction (DZW, MJF, MNG, JMH, MLW), pp. 517–528.
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-Amer-YahiaDKKF #algorithm #big data
Crowds, clouds, and algorithms: exploring the human side of “big data” applications (SAY, AD, JMK, NK, MJF), pp. 1259–1260.
SIGMOD-2010-ArmbrustTFFPLTT #named #performance #query
PIQL: a performance insightful query language (MA, ST, AF, MJF, DAP, NL, BT, JT), pp. 1207–1210.
Continuous analytics over discontinuous streams (SK, MJF, JD, DF, PG, AL, NT), pp. 1081–1092.
VLDB-2010-WangFGH #information management #probability #query
Querying Probabilistic Information Extraction (DZW, MJF, MNG, JMH), pp. 1057–1067.
SIGMOD-2008-JefferyFH #feedback
Pay-as-you-go user feedback for dataspace systems (SRJ, MJF, AYH), pp. 847–860.
VLDB-2008-FranklinHM #tutorial
A first tutorial on dataspaces (MJF, AYH, DM), pp. 1516–1517.
KR-2006-MaierHF #named
Dataspaces: Co-existence with Heterogeneity (DM, AYH, MJF), p. 3.
Principles of dataspace systems (AYH, MJF, DM), pp. 1–9.
SIGMOD-2006-KrishnamurthyWF #on the fly
On-the-fly sharing for streamed aggregation (SK, CW, MJF), pp. 623–634.
VLDB-2006-DennyF #adaptation #execution
Adaptive Execution of Variable-Accuracy Functions (MD, MJF), pp. 547–558.
VLDB-2006-JefferyGF #adaptation #data type
Adaptive Cleaning for RFID Data Streams (SRJ, MNG, MJF), pp. 163–174.
SIGMOD-2005-DennyF #query
Predicate Result Range Caching for Continuous Queries (MD, MJF), pp. 646–657.
Events on the edge (SR, SRJ, SK, MJF, NB, AE, LL), pp. 885–887.
Remembrance of Streams Past: Overload-Sensitive Management of Archived Streams (SC, MJF), pp. 348–359.
VLDB-2004-CooperEFHJKRRW #architecture #named
HiFi: A Unified Architecture for High Fan-in Systems (OC, AE, MJF, WH, SRJ, SK, FR, SR, EW), pp. 1357–1360.
VLDB-2004-DiaoRF #towards #xml
Towards an Internet-Scale XML Dissemination Service (YD, SR, MJF), pp. 612–623.
VLDB-2004-KrishnamurthyFHJ #precise
The Case for Precision Sharing (SK, MJF, JMH, GJ), pp. 972–986.
VLDB-2004-LiuF #design #grid
The Design of GridDB: A Data-Centric Overlay for the Scientific Grid (DTL, MJF), pp. 600–611.
SIGMOD-2003-ChandrasekaranCDFHHKMRS #data flow #named
TelegraphCQ: Continuous Dataflow Processing (SC, OC, AD, MJF, JMH, WH, SK, SM, FR, MAS), p. 668.
SIGMOD-2003-LiuFP #database #grid #interface #named
GridDB: A Database Interface to the Grid (DTL, MJF, DP), p. 660.
SIGMOD-2003-MaddenFHH #design #network #query
The Design of an Acquisitional Query Processor For Sensor Networks (SM, MJF, JMH, WH), pp. 491–502.
VLDB-2003-DiaoF #query #xml
Query Processing for High-Volume XML Message Brokering (YD, MJF), pp. 261–272.
VLDB-2003-HammadFAE #data type #scheduling
Scheduling for shared window joins over data streams (MAH, MJF, WGA, AKE), pp. 297–308.
VLDB-2003-KerstenWFKBC #database #how
A Database Striptease or How to Manage Your Personal Databases (MLK, GW, MJF, DAK, APB, SC), pp. 1043–1044.
OSDI-2002-MaddenFHH #ad hoc #named #network
TAG: A Tiny AGgregation Service for Ad-Hoc Sensor Networks (SM, MJF, JMH, WH), pp. 131–146.
VLDB-2002-ChandrasekaranF #query #streaming
Streaming Queries over Streaming Data (SC, MJF), pp. 203–214.
VLDB-2001-AksoyZF #on-demand #staging
Data Staging for On-Demand Broadcast (DA, MJF, SBZ), pp. 571–580.
VLDB-2001-CherniackFZ #data transformation #pervasive
Data Management for Pervasive Computing (MC, MJF, SBZ).
VLDB-2001-CooperSFHS #performance #semistructured data
A Fast Index for Semistructured Data (BFC, NS, MJF, GRH, MS), pp. 341–350.
VLDB-2001-UrhanF #interactive #performance #pipes and filters #query #scheduling
Dynamic Pipeline Scheduling for Improving Interactive Query Performance (TU, MJF), pp. 501–510.
VLDB-2000-AltinelF #documentation #performance #xml
Efficient Filtering of XML Documents for Selective Dissemination of Information (MA, MJF), pp. 53–64.
SIGMOD-1999-AltinelABFSZ #adaptation #middleware #named #scalability
DBIS-Toolkit: Adaptable Middleware for Large Scale Data Delivery (MA, DA, TB, MJF, WS, SBZ), pp. 544–546.
SIGMOD-1998-FranklinZ #perspective #quote
“Data in Your Face”: Push Technology in Perspective (MJF, SBZ), pp. 516–519.
SIGMOD-1998-JonssonFS #evaluation #information retrieval #interactive #query
Interaction of Query Evaluation and Buffer Management for Information Retrieval (BÞJ, MJF, DS), pp. 118–129.
SIGMOD-1998-UrhanFA #query
Cost Based Query Scrambling for Initial Delays (TU, MJF, LA), pp. 130–141.
OOPSLA-1997-FranklinZ #framework
A Framework for Scalbale Dissemination-Based Systems (MJF, SBZ), pp. 94–105.
Balancing Push and Pull for Data Broadcast (SA, MJF, SBZ), pp. 183–194.
SIGMOD-1996-FranklinJK #performance #query #trade-off
Performance Tradeoffs for Client-Server Query Processing (MJF, BÞJ, DK), pp. 149–160.
Disseminating Updates on Broadcast Disks (SA, MJF, SBZ), pp. 354–365.
VLDB-1996-DarFJST #semantics
Semantic Data Caching and Replacement (SD, MJF, BÞJ, DS, MT), pp. 330–341.
SIGMOD-1995-AcharyaAFZ #data transformation #symmetry
Broadcast Disks: Data Management for Asymmetric Communications Environments (SA, RA, MJF, SBZ), pp. 199–210.
VLDB-1995-AmsalegFG #database #garbage collection #incremental #performance
Efficient Incremental Garbage Collection for Client-Server Object Database Systems (LA, MJF, OG), pp. 42–53.
SIGMOD-1994-CareyDFHMNSSTTWZ #persistent
Shoring Up Persistent Applications (MJC, DJD, MJF, NEH, MLM, JFN, DTS, MHS, CKT, OGT, SJW, MJZ), pp. 383–394.
SIGMOD-1994-CareyFZ #fine-grained
Fine-Grained Sharing in a Page Server OODBMS (MJC, MJF, MZ), pp. 359–370.
VLDB-1993-FranklinCL #database
Local Disk Caching for Client-Server Database Systems (MJF, MJC, ML), pp. 641–655.
Crash Recovery in Client-Server EXODUS (MJF, MJZ, CKT, MJC, DJD), pp. 165–174.
VLDB-1992-FranklinCL #architecture #database #memory management
Global Memory Management in Client-Server Database Architectures (MJF, MJC, ML), pp. 596–609.
SIGMOD-1991-CareyFLS #architecture #trade-off
Data Caching Tradeoffs in Client-Server DBMS Architectures (MJC, MJF, ML, EJS), pp. 357–366.

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