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: Franklin:Michael_J=
Facilitated 1 volumes:
Contributed to:
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.
- VLDB-2015-KrishnanWFGK
- 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.
- SIGMOD-2010-KrishnamurthyFDFGLT
- 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.
- PODS-2006-HalevyFM
- 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.
- SIGMOD-2005-RizviJKFBEL
- Events on the edge (SR, SRJ, SK, MJF, NB, AE, LL), pp. 885–887.
- VLDB-2004-ChandrasekaranF
- 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.
- SIGMOD-1997-AcharyaFZ
- 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.
- VLDB-1996-AcharyaFZ
- 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.
- SIGMOD-1992-FranklinZTCD
- 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.