Search Results - "In-Memory Database Systems"
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Authors:
Subject Terms: Schwerpunktbeitrag, SQL-92, Neural Networks, Automatic Differentiation, In-Memory Database Systems, Machine Learning, ddc
File Description: application/pdf
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Authors: et al.
Source: IEEE Transactions on Knowledge and Data Engineering. 33:316-330
Subject Terms: Checkpoints, FOS: Computer and information sciences, Computer Science - Databases, HTAP, Snapshot algorithms, 0202 electrical engineering, electronic engineering, information engineering, Databases (cs.DB), 02 engineering and technology, In-memory database systems
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Authors: et al.
Contributors: et al.
Source: Jahan Lisa, N, Nguyen, T D A, Habich, DI, Kumar, A & Lehner, W 2019, High-Throughput BitPacking Compression. in N Konofaos & P Kitsos (eds), Proceedings-Euromicro Conference on Digital System Design, DSD 2019., 8875016, IEEE Signal Processing Society, Proceedings-Euromicro Conference on Digital System Design, DSD 2019, pp. 643-646, 22nd Euromicro Conference on Digital System Design, DSD 2019, Kallithea, Chalkidiki, Greece, 28/08/2019. https://doi.org/10.1109/DSD.2019.00101
Subject Terms: ddc:004, In-Memory-Datenbanksysteme, leichte Datenkompression, FPGA, BitPacking, in-memory database systems, BitPacking, lightweight data compression, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, FPGA, in-memory database systems, lightweight data compression, FPGA, BitPacking
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4
Authors:
Subject Terms: SQL-92, Neural Networks, Automatic Differentiation, In-Memory Database Systems, Machine Learning
Time: 004
File Description: application/pdf
Relation: Juniorprofessur für Informatik, insbesondere Data Engineering; #PLACEHOLDER_PARENT_METADATA_VALUE#
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Authors: et al.
Source: Habich, D D, Damme, P P, Ungethüm, A A & Lehner, W W 2018, Make larger vector register sizes new challenges? Lessons learned from the area of vectorized lightweight compression algorithms. in Proceedings of the Workshop on Testing Database Systems, DBTest 2018., 3209957, Association for Computing Machinery (ACM), Proceedings of the Workshop on Testing Database Systems, DBTest 2018, 2018 Workshop on Testing Database Systems, DBTest 2018, Houston, United States, 15/06/2018. https://doi.org/10.1145/3209950.3209957
Subject Terms: ddc:004, Lightweight data compression, Database systems, In-memory, Experimental evaluation, in-memory, database systems, lightweight data compression, vectorization, experimental evaluation, Vectorization, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, In-Memory, Datenbanksysteme, leichte Datenkompression, Vektorisierung, experimentelle Bewertung
Access URL: https://vbn.aau.dk/da/publications/a9af52bd-b018-4833-b733-e88e9425735c
https://doi.org/10.1145/3209950.3209957
http://www.scopus.com/inward/record.url?scp=85059944117&partnerID=8YFLogxK
https://dblp.uni-trier.de/db/conf/sigmod/dbtest2018.html#HabichDUL18
https://dl.acm.org/doi/10.1145/3209950.3209957
https://tud.qucosa.de/id/qucosa:80629
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6
Authors: et al.
Contributors: et al.
Source: Kissinger, T, Habich, D & Lehner, W 2018, Adaptive energy-control for in-memory database systems. in G Das, C Jermaine, A Eldawy & P Bernstein (eds), SIGMOD 2018-Proceedings of the 2018 International Conference on Management of Data. Association for Computing Machinery, Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 351-364, 44th ACM SIGMOD International Conference on Management of Data, SIGMOD 2018, Houston, United States, 10/06/2018. https://doi.org/10.1145/3183713.3183756
Subject Terms: ddc:004, Adaptivity, Energy efficiency, Database systems, In-memory, In-Memory, Datenbanksysteme, Energieeffizienz, Adaptivität, in-memory, database systems, energy efficiency, adaptivity, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy
Access URL: https://vbn.aau.dk/da/publications/95ef989d-ffbd-4dea-a4ba-b8777bf730fd
http://www.scopus.com/inward/record.url?scp=85048786651&partnerID=8YFLogxK
https://doi.org/10.1145/3183713.3183756
https://dblp.uni-trier.de/db/conf/sigmod/sigmod2018.html#KissingerHL18
https://dl.acm.org/doi/pdf/10.1145/3183713.3183756
https://tud.qucosa.de/api/qucosa:79167/attachment/ATT-0/
https://tud.qucosa.de/id/qucosa:79167 -
7
Authors: et al.
Source: Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 22, Iss 4, Pp 1109-1123 (2018)
Subject Terms: veri analizi, anomali tespiti, yapay sinir ağları, som, bellek i̇çi veritabanı sistemleri, data analysis, anomaly detection, artificial neural networks, self-organizing maps, in-memory database systems, Engineering (General). Civil engineering (General), TA1-2040, Chemistry, QD1-999
File Description: electronic resource
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Authors: et al.
Source: Oukid, I, Booss, D, Lehner, W, Bumbulis, P & Willhalm, T 2014, SOFORT : A hybrid SCM-DRAM storage engine for fast data recovery. in 10th International Workshop on Data Management on New Hardware, DaMoN 2014-In Conjunction with the ACM SIGMOD/PODS Conference., 8, Association for Computing Machinery, 10th International Workshop on Data Management on New Hardware, DaMoN 2014-In Conjunction with the ACM SIGMOD/PODS Conference, 10th International Workshop on Data Management on New Hardware, DaMoN 2014-In Conjunction with the ACM SIGMOD/PODS Conference, Snowbird, UT, United States, 23/06/2014. https://doi.org/10.1145/2619228.2619236
Subject Terms: ddc:004, 0202 electrical engineering, electronic engineering, information engineering, Storage Class Memory (SCM), database performance, main memory database systems, 02 engineering and technology, Storage Class Memory (SCM), Datenbankleistung, Hauptspeicher-Datenbanksysteme
Access URL: http://15721.courses.cs.cmu.edu/spring2016/papers/a8-oukid.pdf
https://15721.courses.cs.cmu.edu/spring2016/papers/a8-oukid.pdf
https://dblp.uni-trier.de/db/conf/damon/damon2014.html#OukidBLBW14
https://dl.acm.org/doi/10.1145/2619228.2619236
http://www.sigmod2014.org/damon/slides/SOFORT.pdf
https://tud.qucosa.de/api/qucosa:80659/attachment/ATT-0/
https://tud.qucosa.de/id/qucosa:80659 -
9
Authors: et al.
Subject Terms: Energy efficiency, In-memory database systems, Benchmarking, Profiles, Energieeffizienz, In-Memory-Datenbanksysteme, Benchmarking, Steckbriefe, info:eu-repo/classification/ddc/004, ddc:004
Relation: info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Exzellenzcluster/194636624//Zentrum für Perspektiven in der Elektronik Dresden/EXC 1056
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Authors: et al.
Contributors: et al.
Subject Terms: Tiering, Data Placement, In-Memory Database Systems, Linear Programming, Cost Models
File Description: application/pdf
Relation: BTW 2023; Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331; https://dl.gi.de/handle/20.500.12116/40324
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Authors: et al.
Contributors: et al.
Source: Lecture Notes in Computer Science ISBN: 9783319314082
Damme, P, Habich, D & Lehner, W 2016, A benchmark framework for data compression techniques. in R Nambiar & M Poess (eds), Performance Evaluation and Benchmarking : Traditional to Big Data to Internet of Things-7th TPC Technology Conference, TPCTC 2015, Revised Selected Papers. Physica-Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9508, pp. 77-93, 7th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2015 held in conjunction with 40th International Conference on Very Large Data Bases, VLDB 2015, Kohala Coast, United States, 31/08/2015. https://doi.org/10.1007/978-3-319-31409-9_6Subject Terms: ddc:004, Lightweight data compression, Efficient benchmarking, Leichtgewichtige Datenkompression, Hauptspeicher-Datenbanksysteme, Effizientes Benchmarking, Lightweight data compression, Main memory database systems, Efficient benchmarking, 0202 electrical engineering, electronic engineering, information engineering, Main memory database systems, 02 engineering and technology
Access URL: https://link.springer.com/10.1007/978-3-319-31409-9_6
https://doi.org/10.1007/978-3-319-31409-9_6
https://link.springer.com/chapter/10.1007/978-3-319-31409-9_6
http://doi.org/10.1007/978-3-319-31409-9_6
https://rd.springer.com/chapter/10.1007/978-3-319-31409-9_6
https://tud.qucosa.de/api/qucosa:83309/attachment/ATT-0/
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Authors:
Subject Terms: Lightweight data compression, Main memory database systems, Efficient algorithms, Leichte Datenkompression, Hauptspeicher-Datenbank Systeme, Effiziente Algorithmen, info:eu-repo/classification/ddc/004, ddc:004
Relation: info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Sachbeihilfen/255187874//Leichtgewichtige Kompressionsverfahren zur Optimierung komplexer Datenbankanfragen/LE-1416/26-1
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Authors:
Subject Terms: Lightweight data compression, Main memory database systems, Efficient benchmarking, Leichtgewichtige Datenkompression, Hauptspeicher-Datenbanksysteme, Effizientes Benchmarking, info:eu-repo/classification/ddc/004, ddc:004
Relation: info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Sachbeihilfen/255187874//Leichtgewichtige Kompressionsverfahren zur Optimierung komplexer Datenbankanfragen/LE-1416/26-1
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14
Authors: Wolfgang, Lehner
Source: Datenbank-Spektrum. 12:141-144
Subject Terms: TU Dresden, Data-Warehouse-Systeme, Erweiterte Analyse, Offene Daten, Hauptspeicher-Datenbanksysteme, ddc:004, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, TU Dresden, Data Warehouse Systems, Advanced Analysis, Open Data, Main Memory Database Systems, 02 engineering and technology, 0509 other social sciences
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Authors:
Contributors:
Source: Information Systems
Subject Terms: Distributed database systems, Main-Memory Database Systems, Database theory, Data acquisition, Real time systems, real-time database systems, Computational linguistics, 02 engineering and technology, Real-Time Database Systems, Concurrency Control, Real time concurrency control protocol, 0202 electrical engineering, electronic engineering, information engineering, Main memory database systems, Network protocols, Main-memory Database Systems, Real-time Database Systems, Concurrency control
File Description: application/xml; application/pdf
Access URL: http://repository.bilkent.edu.tr/bitstream/11693/11073/1/10.1016-S0306-4379-98-00004-0.pdf
https://zbmath.org/1202509
https://doi.org/10.1016/s0306-4379(98)00004-0
http://repository.bilkent.edu.tr/bitstream/11693/11073/1/10.1016-S0306-4379-98-00004-0.pdf
https://dblp.uni-trier.de/db/journals/is/is23.html#UlusoyB98
http://www.sciencedirect.com/science/article/pii/S0306437998000040
http://repository.bilkent.edu.tr/handle/11693/11073
https://www.sciencedirect.com/science/article/pii/S0306437998000040
https://hdl.handle.net/11693/11073
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Authors: et al.
Contributors: et al.
Source: Kolditz, T, Habich, D, Damme, P, Lehner, W, Kuvaiskii, D, Oleksenko, O & Fetzer, C 2015, Resiliency-aware data compression for in-memory database systems. in M Helfert, A Holzinger, O Belo & C Francalanci (eds), DATA 2015 - 4th International Conference on Data Management Technologies and Applications, Proceedings. SciTePress, DATA 2015 - 4th International Conference on Data Management Technologies and Applications, Proceedings, pp. 326-331, 4th International Conference on Data Management Technologies and Applications, DATA 2015, Colmar, Alsace, France, 20/07/2015. https://doi.org/10.5220/0005557303260331
Subject Terms: AN encoding, Data integrity, In-memory database systems, Lightweight data compression
Relation: urn:ISBN:9789897581038
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Authors: et al.
Contributors: et al.
Subject Terms: performance, In-Memory Database Systems, workload, prediction
File Description: application/pdf
Relation: Softwaretechnik-Trends Band 39, Heft 4; Softwaretechnik-Trends; https://dl.gi.de/handle/20.500.12116/40489
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Authors:
Contributors:
Subject Terms: Bulk loading, Cache-Speicher, 12. Responsible consumption, Resource efficiency, Memory tracing, 8. Economic growth, CPU cache partitioning, Ressourceneffizienz, Ablaufverfolgung, Datenbanksystem, Main-memory database systems
File Description: application/pdf
Access URL: http://hdl.handle.net/2003/40058
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19
Authors:
Contributors:
Subject Terms: dependency tracking, consistency, rollback-recovery, distributed transactions, main-memory database systems
File Description: application/pdf
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.6178; http://icwww.epfl.ch/publications/documents/IC_TECH_REPORT_2005017.pdf
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Authors: et al.
Contributors: et al.
Subject Terms: 1991 ACM Computing Classication System, H.2.4] Main-Memory Database Systems, Query Processing Keywords and Phrases, inter-application multi-query optimization, main-memory databases, data mining Note, Work carried out under project CONQUER
File Description: application/postscript
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