47 papers:
QoSA-2015-WuLG #architecture #modelling #performance- Exploring Performance Models of Hadoop Applications on Cloud Architecture (XW, YL, IG), pp. 93–101.
VLDB-2015-AbadiBOP #named #tutorial- Tutorial: SQL-on-Hadoop Systems (DA, SB, FÖ, IP), pp. 2050–2061.
- VLDB-2015-EldawyAM #clustering
- Spatial Partitioning Techniques in Spatial Hadoop (AE, LA, MFM), pp. 1602–1613.
- VLDB-2015-EldawyMJ #pipes and filters #visualisation
- A Demonstration of HadoopViz: An Extensible MapReduce System for Visualizing Big Spatial Data (AE, MFM, CJ), pp. 1896–1907.
- VLDB-2015-Liroz-GistauAV #execution #named #parallel #performance
- FP-Hadoop: Efficient Execution of Parallel Jobs Over Skewed Data (MLG, RA, PV), pp. 1856–1867.
- VLDB-2015-QiaoLTLVTDBSDB #named
- Gobblin: Unifying Data Ingestion for Hadoop (LQ, YL, ST, ZL, NV, MT, YD, IB, KS, SD, CB), pp. 1764–1775.
KDD-2015-Awadallah #data transformation #future of- Hadoop’s Impact on the Future of Data Management (AA), p. 1623.
- KDD-2015-BerralPCCRG #automation #framework #information management #named
- ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments (JLB, NP, DC, AC, RR, DG), pp. 1701–1710.
SAC-2015-FerrucciSKS #algorithm #framework #parallel #pipes and filters #search-based- A parallel genetic algorithms framework based on Hadoop MapReduce (FF, PS, MTK, FS), pp. 1664–1667.
- SAC-2015-KaplanisKSMT
- HB+tree: use hadoop and HBase even your data isn’t that big (AK, MK, SS, CM, GT), pp. 973–980.
ASPLOS-2015-GoiriBNN #approximate #framework #named #pipes and filters- ApproxHadoop: Bringing Approximations to MapReduce Frameworks (IG, RB, SN, TDN), pp. 383–397.
SIGMOD-2014-ChangWMJMGLCWSB #named #parallel #sql- HAWQ: a massively parallel processing SQL engine in hadoop (LC, ZW, TM, LJ, LM, AG, LL, JC, CW, GS, MB), pp. 1223–1234.
- VLDB-2014-FloratouMO #architecture #database #named
- SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures (AF, UFM, FÖ), pp. 1295–1306.
- SIGMOD-2013-JindalQM #flexibility #named
- CARTILAGE: adding flexibility to the Hadoop skeleton (AJ, JAQR, SM), pp. 1057–1060.
- VLDB-2013-AjiWVLL0S #named #performance #pipes and filters
- Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce (AA, FW, HV, RL, QL, XZ, JHS), pp. 1009–1020.
- VLDB-2013-CherniakZZ #optimisation #testing
- Optimization Strategies for A/B Testing on HADOOP (AC, HZ, VZ), pp. 973–984.
- VLDB-2013-EldawyM #framework #performance #pipes and filters
- A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data (AE, MFM), pp. 1230–1233.
- VLDB-2013-Elmeleegy #named #optimisation
- Piranha: Optimizing Short Jobs in Hadoop (KE), pp. 985–996.
- VLDB-2013-KumarGDL #named #scalability
- Hone: “Scaling Down” Hadoop on Shared-Memory Systems (KAK, JG, AD, JL), pp. 1354–1357.
- VLDB-2013-RenKBH
- Hadoop’s Adolescence (KR, YK, MB, BH), pp. 853–864.
- KDD-2013-Bhandarkar #named
- Hadoop: a view from the trenches (MB), p. 1138.
ICSE-2013-ShangJHAHM #big data #data analysis #developer- Assisting developers of big data analytics applications when deploying on hadoop clouds (WS, ZMJ, HH, BA, AEH, PM), pp. 402–411.
- SIGMOD-2012-BalminKT #named
- Clydesdale: structured data processing on hadoop (AB, TK, ST), pp. 705–708.
- SIGMOD-2012-SuS #pipes and filters
- Oracle in-database hadoop: when mapreduce meets RDBMS (XS, GS), pp. 779–790.
- VLDB-2012-DittrichQ #big data #performance #pipes and filters
- Efficient Big Data Processing in Hadoop MapReduce (JD, JAQR), pp. 2014–2015.
- VLDB-2012-KolbTR #named #performance
- Dedoop: Efficient Deduplication with Hadoop (LK, AT, ER), pp. 1878–1881.
- VLDB-2012-ShinnarCHS #in memory #named #performance
- M3R: Increased performance for in-memory Hadoop jobs (AS, DC, BH, VAS), pp. 1736–1747.
CIKM-2012-ChoiLKLM #named #parallel #query #xml- HadoopXML: a suite for parallel processing of massive XML data with multiple twig pattern queries (HC, KHL, SHK, YJL, BM), pp. 2737–2739.
- CIKM-2012-TanLN #data analysis #named
- CloST: a hadoop-based storage system for big spatio-temporal data analytics (HT, WL, LMN), pp. 2139–2143.
HPDC-2012-DinuN #comprehension- Understanding the effects and implications of compute node related failures in hadoop (FD, TSEN), pp. 187–198.
- HPDC-2012-TanMZ #pipes and filters
- Coupling scheduler for MapReduce/Hadoop (JT, XM, LZ), pp. 129–130.
ICST-2012-GeronimoFMS #algorithm #automation #generative #parallel #pipes and filters #search-based #testing- A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites (LDG, FF, AM, FS), pp. 785–793.
- SIGMOD-2011-BorthakurGSMSKRMMRSA #facebook #realtime
- Apache hadoop goes realtime at Facebook (DB, JG, JSS, KM, NS, HK, KR, DM, AM, SR, RS, ASA), pp. 1071–1080.
- SIGMOD-2011-OlstonCCLHLNRSSTZW #named #workflow
- Nova: continuous Pig/Hadoop workflows (CO, GC, LC, FL, YH, ML, AN, VBNR, VS, SS, CT, TZ, XW), pp. 1081–1090.
- SIGMOD-2011-OzcanHBBLL #data analysis #enterprise #roadmap
- Emerging trends in the enterprise data analytics: connecting Hadoop and DB2 warehouse (FÖ, DH, KSB, AB, CJL, YL), pp. 1161–1164.
- SIGMOD-2011-XuKQWZ #approach #distributed #parallel
- A Hadoop based distributed loading approach to parallel data warehouses (YX, PK, YQ, JW, KKZ), pp. 1091–1100.
- VLDB-2011-EltabakhTOGKM #flexibility #named
- CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop (MYE, YT, FÖ, RG, AK, JM), pp. 575–585.
SEFM-2011-OnoHTNH #coq #pipes and filters #specification #using- Using Coq in Specification and Program Extraction of Hadoop MapReduce Applications (KO, YH, YT, NN, MH), pp. 350–365.
ICEIS-v1-2011-HaoSHS #algorithm #in the cloud #modelling #optimisation #scheduling- A Cloud Computing Model based on Hadoop with an Optimization of Its Task Scheduling Algorithms (YH, MS, JH, JS), pp. 524–528.
- SIGMOD-2010-AbouziedBHAS
- HadoopDB in action: building real world applications (AA, KBP, JH, DJA, AS), pp. 1111–1114.
- SIGMOD-2010-DasSBGHM #named
- Ricardo: integrating R and Hadoop (SD, YS, KSB, RG, PJH, JM), pp. 987–998.
- SIGMOD-2010-XuKG #parallel
- Integrating hadoop and parallel DBMs (YX, PK, LG), pp. 969–974.
- VLDB-2010-DittrichQJKSS
- Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) (JD, JAQR, AJ, YK, VS, JS), pp. 518–529.
- CIKM-2010-GuptaGNM #query #using
- Efficiently querying archived data using Hadoop (RG, HG, UN, MKM), pp. 1301–1304.
- HPDC-2010-LeoZ #api #named #pipes and filters #python
- Pydoop: a Python MapReduce and HDFS API for Hadoop (SL, GZ), pp. 819–825.
- HPDC-2010-MoiseAB #concurrent #framework
- Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system (DM, GA, LB), pp. 834–840.
- VLDB-2009-AbouzeidBARS #architecture #hybrid #named #pipes and filters
- HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads (AA, KBP, DJA, AR, AS), pp. 922–933.
