Travelled to:
1 × Austria
1 × China
1 × France
1 × Germany
1 × Norway
6 × USA
Collaborated with:
P.Larson K.A.Ross N.Bruno W.Lehner W.Lin P.Zabback ∅ S.Jain H.G.Elmongui D.DeHaan J.Goldstein B.Shi J.C.Freytag J.Cieslewicz M.Shah E.Boutin J.Ekanayake L.Zhou S.Agarwal S.Kandula M.Wu R.Chaiken B.Jenkins B.Ramsey D.Shakib S.Weaver Z.Qian M.Wu P.Brett X.Chen T.Guan A.Korsun Z.Yin N.Zhang Z.Guo X.Fan R.Chen J.Zhang H.Zhou S.McDirmid C.Liu
Talks about:
view (6) databas (4) scope (4) cloud (4) process (3) scale (3) optim (3) data (3) parallel (2) instruct (2)
Person: Jingren Zhou
DBLP: Zhou:Jingren
Contributed to:
Wrote 19 papers:
- VLDB-2015-BoutinBCEGKYZZ #interactive #named #reliability
- JetScope: Reliable and Interactive Analytics at Cloud Scale (EB, PB, XC, JE, TG, AK, ZY, NZ, JZ), pp. 1680–1691.
- OSDI-2014-BoutinELSZQWZ #coordination #named #scalability #scheduling
- Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (EB, JE, WL, BS, JZ, ZQ, MW, LZ), pp. 285–300.
- VLDB-2013-BrunoJZ #optimisation #query
- Continuous Cloud-Scale Query Optimization and Processing (NB, SJ, JZ), pp. 961–972.
- OSDI-2012-GuoFCZZMLLZZ #optimisation #pipes and filters
- Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE (ZG, XF, RC, JZ, HZ, SM, CL, WL, JZ, LZ), pp. 121–133.
- SIGMOD-2012-BrunoAKSWZ #optimisation
- Recurring job optimization in scope (NB, SA, SK, BS, MCW, JZ), pp. 805–806.
- SIGMOD-2012-ZhouBL #clustering #distributed
- Advanced partitioning techniques for massively distributed computation (JZ, NB, WL), pp. 13–24.
- VLDB-2008-ChaikenJLRSWZ #named #parallel #performance #set
- SCOPE: easy and efficient parallel processing of massive data sets (RC, BJ, PÅL, BR, DS, SW, JZ), pp. 1265–1276.
- SIGMOD-2007-LarsonLZZ #assurance #estimation #quality #using
- Cardinality estimation using sample views with quality assurance (PÅL, WL, JZ, PZ), pp. 175–186.
- SIGMOD-2007-LarsonLZZ07a #estimation #self
- Exploiting self-monitoring sample views for cardinality estimation (PÅL, WL, JZ, PZ), pp. 1073–1075.
- SIGMOD-2007-ZhouLFL #performance #query
- Efficient exploitation of similar subexpressions for query processing (JZ, PÅL, JCF, WL), pp. 533–544.
- VLDB-2007-ZhouLE #lazy evaluation #maintenance
- Lazy Maintenance of Materialized Views (JZ, PÅL, HGE), pp. 231–242.
- SIGMOD-2005-DeHaanLZ #sql
- Stacked indexed views in microsoft SQL server (DD, PÅL, JZ), pp. 179–190.
- VLDB-2005-LarsonZ
- View Matching for Outer-Join Views (PÅL, JZ), pp. 445–456.
- VLDB-2005-ZhouCRS #database #multi #performance #thread
- Improving Database Performance on Simultaneous Multithreading Processors (JZ, JC, KAR, MS), pp. 49–60.
- SIGMOD-2004-ZhouR #database #performance
- Buffering Database Operations for Enhanced Instruction Cache Performance (JZ, KAR), pp. 191–202.
- SIGMOD-2003-LarsonG #database #sql
- Transparent Mid-Tier Database Caching in SQL Server (PÅL, JG, JZ), p. 661.
- VLDB-2003-ZhouR
- Buffering Accesses to Memory-Resident Index Structures (JZ, KAR), pp. 405–416.
- SIGMOD-2002-ZhouR #database #implementation #using
- Implementing database operations using SIMD instructions (JZ, KAR), pp. 145–156.
- ASPLOS-2017-Zhou #big data #data analysis
- Big Data Analytics and Intelligence at Alibaba Cloud (JZ), p. 1.