Travelled to:1 × Germany
1 × Greece
6 × USA
Collaborated with:P.B.Gibbons J.Liu O.Kennedy A.Deshpande S.Seshan B.Chandramouli W.Zhou C.Loboz S.Smyl V.Rastogi M.Götz J.Gehrke S.Chen A.Mueen H.Yu H.Chan A.Manjhi A.Meliou W.Gatterbauer D.Suciu S.Gandhi S.Suri G.Reeves F.Zhao J.Claessens I.Santos S.Lee L.Li C.M.Liang A.Terzis C.Faloutsos Y.Ke B.Karp
Talks about:data (6) sensor (4) scale (4) time (4) stream (3) massiv (3) aggreg (3) seri (3) uncertain (2) enterpris (2)
Person: Suman Nath
DBLP: Nath:Suman
Contributed to:
2013
2012
2011201120102010200920092008200520032003Wrote 19 papers:
- VLDB-2013-ChandramouliNZ #distributed
- Supporting Distributed Feed-Following Apps over Edge Devices (BC, SN, WZ), pp. 1570–1581.
- SIGMOD-2012-ChandramouliCNSZ #named #realtime
- RACE: real-time applications over cloud-edge (BC, JC, SN, IS, WZ), pp. 625–628.
- SIGMOD-2012-GotzNG #mobile #named #personalisation
- MaskIt: privately releasing user context streams for personalized mobile applications (MG, SN, JG), pp. 289–300.
- KDD-2011-LiLLNTF #cyber-physical #named
- ThermoCast: a cyber-physical forecasting model for datacenters (LL, CJML, JL, SN, AT, CF), pp. 1370–1378.
- SIGMOD-2011-KennedyLLSN #enterprise #fuzzy #nondeterminism #parametricity
- Fuzzy prophet: parameter exploration in uncertain enterprise scenarios (OK, SL, CL, SS, SN), pp. 1303–1306.
- SIGMOD-2011-KennedyN #enterprise #named #nondeterminism #optimisation #performance
- Jigsaw: efficient optimization over uncertain enterprise data (OK, SN), pp. 829–840.
- SIGMOD-2011-MeliouGNS #fault
- Tracing data errors with view-conditioned causality (AM, WG, SN, DS), pp. 505–516.
- SIGMOD-2010-ChenGN #named #statistics
- PR-join: a non-blocking join achieving higher early result rate with statistical guarantees (SC, PBG, SN), pp. 147–158.
- SIGMOD-2010-MueenNL #approximate #correlation #performance
- Fast approximate correlation for massive time-series data (AM, SN, JL), pp. 171–182.
- SIGMOD-2010-RastogiN #distributed #encryption
- Differentially private aggregation of distributed time-series with transformation and encryption (VR, SN), pp. 735–746.
- VLDB-2010-LobozSN #named #performance
- DataGarage: Warehousing Massive Performance Data on Commodity Servers (CL, SS, SN), pp. 1447–1458.
- SIGMOD-2009-GandhiNSL #multi #named #scalability
- GAMPS: compressing multi sensor data by grouping and amplitude scaling (SG, SN, SS, JL), pp. 771–784.
- SIGMOD-2009-NathYC #outsourcing
- Secure outsourced aggregation via one-way chains (SN, HY, HC), pp. 31–44.
- VLDB-2009-ReevesLNZ #multi
- Managing Massive Time Series Streams with MultiScale Compressed Trickles (GR, JL, SN, FZ), pp. 97–108.
- VLDB-2008-NathG #maintenance #online #random #scalability
- Online maintenance of very large random samples on flash storage (SN, PBG), pp. 970–983.
- SIGMOD-2005-ManjhiNG #network #performance #robust
- Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams (AM, SN, PBG), pp. 287–298.
- SIGMOD-2003-DeshpandeNGS #database
- Cache-and-Query for Wide Area Sensor Databases (AD, SN, PBG, SS), pp. 503–514.
- SIGMOD-2003-DeshpandeNGS03a #named
- IrisNet: Internet-scale Resource-Intensive Sensor Services (AD, SN, PBG, SS), p. 667.
- VLDB-2003-NathDKGKS #architecture #named
- IrisNet: An Architecture for Internet-scale Sensing Services (SN, AD, YK, PBG, BK, SS), pp. 1137–1140.