Travelled to:
1 × Austria
1 × Canada
1 × China
1 × Greece
4 × USA
Collaborated with:
J.Goldstein J.Yang D.Maier S.Nath W.Zhou I.Santos A.Quamar J.M.Phillips J.Xie S.M.Drucker M.Barnett R.DeLine J.C.Platt M.Tilly J.J.Levandoski A.Eldawy M.F.Mokbel C.N.Bond S.Babu M.H.Ali B.S.Raman J.Claessens P.K.Agarwal A.Yu Y.Zheng J.Fay C.Wong J.F.Terwilliger J.Wernsing D.Fisher P.Morrison C.Gerea B.Sezgin T.Tarnavski T.Verona P.Wang P.Zabback A.Kirilov A.Ananthanarayan M.Lu A.Raizman R.Krishnan R.Schindlauer T.Grabs S.Bjeletich S.Bhat Y.Li V.D.Nicola X.Wang O.Nano S.Grell
Talks about:
stream (5) subscrib (4) publish (4) system (4) analyt (4) scale (3) queri (3) larg (3) data (3) processor (2)
Person: Badrish Chandramouli
DBLP: Chandramouli:Badrish
Contributed to:
Wrote 17 papers:
- VLDB-2015-ChandramouliGBDPTW14 #incremental #named #query
- Trill: A High-Performance Incremental Query Processor for Diverse Analytics (BC, JG, MB, RD, JCP, JFT, JW), pp. 401–412.
- SIGMOD-2014-ChandramouliG
- Patience is a virtue: revisiting merge and sort on modern processors (BC, JG), pp. 731–742.
- SIGMOD-2013-BarnettCDDFGMP #big data #exclamation #interactive
- Stat!: an interactive analytics environment for big data (MB, BC, RD, SMD, DF, JG, PM, JCP), pp. 1013–1016.
- VLDB-2013-ChandramouliGQ #big data #in the cloud #scalability
- Scalable Progressive Analytics on Big Data in the Cloud (BC, JG, AQ), pp. 1726–1737.
- VLDB-2013-ChandramouliNZ #distributed
- Supporting Distributed Feed-Following Apps over Edge Devices (BC, SN, WZ), pp. 1570–1581.
- VLDB-2013-SantosTCG #distributed #named #streaming
- DiAl: Distributed Streaming Analytics Anywhere, Anytime (IS, MT, BC, JG), pp. 1386–1389.
- SIGMOD-2012-ChandramouliCNSZ #named #realtime
- RACE: real-time applications over cloud-edge (BC, JC, SN, IS, WZ), pp. 625–628.
- SIGMOD-2011-ChandramouliLEM #named #realtime #recommendation
- StreamRec: a real-time recommender system (BC, JJL, AE, MFM), pp. 1243–1246.
- VLDB-2011-AliCFWDR #online #using #visualisation
- Online Visualization of Geospatial Stream Data using the WorldWide Telescope (MHA, BC, JF, CW, SMD, BSR), pp. 1379–1382.
- VLDB-2010-ChandramouliGM #pattern matching
- High-Performance Dynamic Pattern Matching over Disordered Streams (BC, JG, DM), pp. 220–231.
- VLDB-2009-AliGRSTVWZKALRKSGBCGBLNWMSNG #behaviour #online
- Microsoft CEP Server and Online Behavioral Targeting (MHA, CG, BSR, BS, TT, TV, PW, PZ, AK, AA, ML, AR, RK, RS, TG, SB, BC, JG, SB, YL, VDN, XW, DM, IS, ON, SG), pp. 1558–1561.
- VLDB-2009-ChandramouliGM #detection #on the fly #query
- On-the-fly Progress Detection in Iterative Stream Queries (BC, JG, DM), pp. 241–252.
- SIGMOD-2008-ChandramouliYAYZ #named #scalability
- ProSem: scalable wide-area publish/subscribe (BC, JY, PKA, AY, YZ), pp. 1315–1318.
- VLDB-2008-ChandramouliY #scalability
- End-to-end support for joins in large-scale publish/subscribe systems (BC, JY), pp. 434–450.
- SIGMOD-2007-ChandramouliBBY #query
- Query suspend and resume (BC, CNB, SB, JY), pp. 557–568.
- VLDB-2007-ChandramouliPY #scalability
- Value-Based Notification Conditions in Large-Scale Publish/Subscribe Systems (BC, JMP, JY), pp. 878–889.
- SIGMOD-2006-ChandramouliXY #database #interface #network #on the #scalability
- On the database/network interface in large-scale publish/subscribe systems (BC, JX, JY), pp. 587–598.