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ORCIDVolker Markl
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- affiliation: German Research Center for Artificial Intelligence (DFKI), Berlin, Germany
- affiliation: TU Berlin, Institute of Software Engineering and Theoretical Computer Science, Germany
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2020 – today
- 2022
[j71]Gábor E. Gévay, Juan Soto, Volker Markl:
Handling Iterations in Distributed Dataflow Systems. ACM Comput. Surv. 54(9): 199:1-199:38 (2022)- 2021
- [j70]Ioannis Prapas
, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl:
Continuous Training and Deployment of Deep Learning Models. Datenbank-Spektrum 21(3): 203-212 (2021) - [j69]Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich:
The Collaborative Research Center FONDA. Datenbank-Spektrum 21(3): 255-260 (2021) - [j68]Dimitrios Giouroukis, Johannes Jestram, Steffen Zeuch, Volker Markl:
Streaming Data through the IoT via Actor-Based Semantic Routing Trees. Open J. Internet Things 7(1): 59-70 (2021) - [j67]Xenofon Chatziliadis, Eleni Tzirita Zacharatou, Steffen Zeuch, Volker Markl:
Monitoring of Stream Processing Engines Beyond the Cloud: An Overview. Open J. Internet Things 7(1): 71-82 (2021) - [j66]Rudi Poepsel Lemaitre, Martin Kiefer, Joscha Von Hein, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
In the Land of Data Streams where Synopses are Missing, One Framework to Bring Them All. Proc. VLDB Endow. 14(10): 1818-1831 (2021) - [j65]Zihao Chen, Zhizhen Xu, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou:
HyMAC: A Hybrid Matrix Computation System. Proc. VLDB Endow. 14(12): 2699-2702 (2021) - [j64]Alexander Renz-Wieland, Tobias Drobisch, Zoi Kaoudi, Rainer Gemulla, Volker Markl:
Just Move It! Dynamic Parameter Allocation in Action. Proc. VLDB Endow. 14(12): 2707-2710 (2021) - [j63]Kaustubh Beedkar, David Brekardin, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Compliant Geo-distributed Data Processing in Action. Proc. VLDB Endow. 14(12): 2843-2846 (2021) - [j62]Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems. ACM Trans. Database Syst. 46(1): 1:1-1:46 (2021) - [c158]Alexander Kumaigorodski, Clemens Lutz, Volker Markl:
Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing. BTW 2021: 19-38 - [c157]Elena Beatriz Ouro Paz, Eleni Tzirita Zacharatou, Volker Markl:
Towards Resilient Data Management for the Internet of Moving Things. BTW 2021: 279-301 - [c156]Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl:
The Case for Distance-Bounded Spatial Approximations. CIDR 2021 - [c155]Adrian Michalke, Philipp M. Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl:
An Energy-Efficient Stream Join for the Internet of Things. DaMoN 2021: 8:1-8:6 - [c154]Volker Markl:
Database Systems and Information Management: Trends and a Vision. DATA 2021: 11-12 - [c153]Sergey Redyuk, Zoi Kaoudi, Volker Markl, Sebastian Schelter:
Automating Data Quality Validation for Dynamic Data Ingestion. EDBT 2021: 61-72 - [c152]Felipe Oliveira Gutierrez, Kaustubh Beedkar, Abel Souza, Volker Markl:
AdCom: Adaptive Combiner for Streaming Aggregations. EDBT 2021: 409-414 - [c151]Julius Hülsmann, Chiao-Yun Li, Jonas Traub, Volker Markl:
Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes. EDBT 2021: 517-522 - [c150]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance. ICDE 2021: 1428-1439 - [c149]Kaustubh Beedkar, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Compliant Geo-distributed Query Processing. SIGMOD Conference 2021: 181-193 - [c148]Zihao Chen, Chen Xu, Juan Soto, Volker Markl, Weining Qian, Aoying Zhou:
Hybrid Evaluation for Distributed Iterative Matrix Computation. SIGMOD Conference 2021: 300-312 - [c147]Gábor E. Gévay, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
The Power of Nested Parallelism in Big Data Processing - Hitting Three Flies with One Slap -. SIGMOD Conference 2021: 605-618 - [c146]Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Expand your Training Limits! Generating Training Data for ML-based Data Management. SIGMOD Conference 2021: 1865-1878 - [c145]Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl:
Parallelizing Intra-Window Join on Multicores: An Experimental Study. SIGMOD Conference 2021: 2089-2101 - [c144]Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp M. Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch:
ExDRa: Exploratory Data Science on Federated Raw Data. SIGMOD Conference 2021: 2450-2463 - [i20]Alexander Renz-Wieland, Rainer Gemulla, Zoi Kaoudi, Volker Markl:
Replicate or Relocate? Non-Uniform Access in Parameter Servers. CoRR abs/2104.00501 (2021) - [i19]Gencer Sumbul, Arne de Wall, Tristan Kreuziger, Filipe Marcelino, Hugo Costa, Pedro Benevides, Mario Caetano, Begüm Demir, Volker Markl:
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval. CoRR abs/2105.07921 (2021) - 2020
- [j61]Abdulrahman Kaitoua, Tilmann Rabl, Volker Markl:
A distributed data exchange engine for polystores. it Inf. Technol. 62(3-4): 145-156 (2020) - [j60]Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl:
NebulaStream: Complex Analytics Beyond the Cloud. Open J. Internet Things 6(1): 66-81 (2020) - [j59]Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl:
Dynamic Parameter Allocation in Parameter Servers. Proc. VLDB Endow. 13(11): 1877-1890 (2020) - [j58]Julius Hülsmann, Jonas Traub, Volker Markl:
Demand-based Sensor Data Gathering with Multi-Query Optimization. Proc. VLDB Endow. 13(12): 2801-2804 (2020) - [j57]Martin Kiefer, Ilias Poulakis, Sebastian Breß, Volker Markl:
Scotch: Generating FPGA-Accelerators for Sketching at Line Rate. Proc. VLDB Endow. 14(3): 281-293 (2020) - [j56]Jonas Traub, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision]. SIGMOD Rec. 49(4): 6-11 (2020) - [c143]Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform for Data and Application Management in the Internet of Things. CIDR 2020 - [c142]Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl:
A survey of adaptive sampling and filtering algorithms for the internet of things. DEBS 2020: 27-38 - [c141]Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl:
Disco: Efficient Distributed Window Aggregation. EDBT 2020: 423-426 - [c140]Haralampos Gavriilidis, Adrian Michalke, Laura Mons, Steffen Zeuch, Volker Markl:
Scaling a Public Transport Monitoring System to Internet of Things Infrastructures. EDBT 2020: 627-630 - [c139]Ankit Chaudhary, Steffen Zeuch, Volker Markl:
Governor: Operator Placement for a Unified Fog-Cloud Environment. EDBT 2020: 631-634 - [c138]Sergey Redyuk, Volker Markl, Sebastian Schelter:
Towards Unsupervised Data Quality Validation on Dynamic Data. EDBT/ICDT Workshops 2020 - [c137]Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. SIGMOD Conference 2020: 1633-1649 - [c136]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Optimizing Machine Learning Workloads in Collaborative Environments. SIGMOD Conference 2020: 1701-1716 - [c135]Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. SIGMOD Conference 2020: 2471-2486 - [c134]Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl:
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. SIGMOD Conference 2020: 2487-2503 - [c133]Muhammad Imran, Gábor E. Gévay, Volker Markl:
Distributed Graph Analytics with Datalog Queries in Flink. SFDI/LSGDA@VLDB 2020: 70-83 - [i18]Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl:
Dynamic Parameter Allocation in Parameter Servers. CoRR abs/2002.00655 (2020) - [i17]Eleni Tzirita Zacharatou, Andreas Kipf, Ibrahim Sabek, Varun Pandey, Harish Doraiswamy, Volker Markl:
The Case for Distance-Bounded Spatial Approximations. CoRR abs/2010.12548 (2020)
2010 – 2019
- 2019
- [j55]Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava:
Particulate Matter Matters - The Data Science Challenge @ BTW 2019. Datenbank-Spektrum 19(3): 165-182 (2019) - [j54]Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl:
Analyzing Efficient Stream Processing on Modern Hardware. Proc. VLDB Endow. 12(5): 516-530 (2019) - [j53]Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl:
An Intermediate Representation for Optimizing Machine Learning Pipelines. Proc. VLDB Endow. 12(11): 1553-1567 (2019) - [j52]Jeyhun Karimov, Tilmann Rabl, Volker Markl:
AJoin: Ad-hoc Stream Joins at Scale. Proc. VLDB Endow. 13(4): 435-448 (2019) - [j51]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [j50]Alexander Alexandrov, Georgi Krastev, Volker Markl:
Representations and Optimizations for Embedded Parallel Dataflow Languages. ACM Trans. Database Syst. 44(1): 4:1-4:44 (2019) - [c132]Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. BTW (Workshops) 2019: 87-90 - [c131]Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl, Volker Markl:
On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines. BTW 2019: 127-146 - [c130]Melissa Gehring, Marcela Charfuelan, Volker Markl:
A Comparison of Distributed Stream Processing Systems for Time Series Analysis. BTW (Workshops) 2019: 205-214 - [c129]Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Explanation of Air Pollution Using External Data Sources. BTW (Workshops) 2019: 297-300 - [c128]Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. DaMoN 2019: 8:1-8:11 - [c127]Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl:
Generating Reproducible Out-of-Order Data Streams. DEBS 2019: 256-257 - [c126]Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Efficient Window Aggregation with General Stream Slicing. EDBT 2019: 97-108 - [c125]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
Continuous Deployment of Machine Learning Pipelines. EDBT 2019: 397-408 - [c124]Dimitrios Giouroukis, Julius Hülsmann, Janis von Bleichert, Morgan Geldenhuys, Tim Stullich, Felipe Oliveira Gutierrez, Jonas Traub, Kaustubh Beedkar, Volker Markl:
Resense: Transparent Record and Replay of Sensor Data in the Internet of Things. EDBT 2019: 590-593 - [c123]Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl:
Time Series Similarity Search for Streaming Data in Distributed Systems. EDBT/ICDT Workshops 2019 - [c122]Olha Horlova, Abdulrahman Kaitoua, Volker Markl, Stefano Ceri:
Multi-Dimensional Genomic Data Management for Region-Preserving Operations. ICDE 2019: 1166-1177 - [c121]Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Muses: Distributed Data Migration System for Polystores. ICDE 2019: 1602-1605 - [c120]Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl:
Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding. IGARSS 2019: 5901-5904 - [c119]Katarzyna Juraszek, Nidhi Saini, Marcela Charfuelan, Holmer Hemsen, Volker Markl:
Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems. AALTD@PKDD/ECML 2019: 151-166 - [c118]Sergey Redyuk, Sebastian Schelter, Tammo Rukat, Volker Markl, Felix Bießmann:
Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data. HILDA@SIGMOD 2019: 4:1-4:4 - [c117]Jeyhun Karimov, Tilmann Rabl, Volker Markl:
AStream: Ad-hoc Shared Stream Processing. SIGMOD Conference 2019: 607-622 - [c116]Vincent Deuschle, Alexander Alexandrov, Tim Januschowski, Volker Markl:
End-to-End Benchmarking of Deep Learning Platforms. TPCTC 2019: 116-132 - [i16]Gencer Sumbul, Marcela Charfuelan, Begüm Demir, Volker Markl:
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding. CoRR abs/1902.06148 (2019) - [i15]Jonas Traub, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Volker Markl:
Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence. CoRR abs/1909.03026 (2019) - [i14]Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform: Data and Application Management for the Internet of Things. CoRR abs/1910.07867 (2019) - [i13]Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl:
SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence. CoRR abs/1912.04648 (2019) - 2018
- [j49]Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient and Scalable k‑Means on GPUs. Datenbank-Spektrum 18(3): 157-169 (2018) - [j48]Volker Markl:
Eine nationale Daten- und Analyseinfrastruktur als Grundlage digitaler Souveränität. Inform. Spektrum 41(6): 433-439 (2018) - [j47]Chen Xu, Rudi Poepsel Lemaitre, Juan Soto, Volker Markl:
Fault-Tolerance for Distributed Iterative Dataflows in Action. Proc. VLDB Endow. 11(12): 1990-1993 (2018) - [j46]Ziawasch Abedjan, Sebastian B. Simonsen, Volker Markl, Tilmann Rabl, Juan Soto:
Data Management Systems Research at TU Berlin. SIGMOD Rec. 47(4): 23-28 (2018) - [j45]Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Generating custom code for efficient query execution on heterogeneous processors. VLDB J. 27(6): 797-822 (2018) - [j44]Quoc-Cuong To, Juan Soto, Volker Markl:
A survey of state management in big data processing systems. VLDB J. 27(6): 847-872 (2018) - [c115]Niklas Stoehr, Johannes Meyer, Volker Markl, Qiushi Bai, Taewoo Kim, De-Yu Chen, Chen Li:
Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data. IEEE BigData 2018: 3723-3732 - [c114]Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl:
ScootR: Scaling R Dataframes on Dataflow Systems. SoCC 2018: 288-300 - [c113]Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient k-means on GPUs. DaMoN 2018: 3:1-3:3 - [c112]Volker Markl:
Mosaics in Big Data: Stratosphere, Apache Flink, and Beyond. DEBS 2018: 7-13 - [c111]Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl:
Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. EDBT 2018: 477-480 - [c110]Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, Volker Markl:
Efficient SIMD Vectorization for Hashing in OpenCL. EDBT 2018: 489-492 - [c109]Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. ICDE 2018: 1300-1303 - [c108]Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl:
Benchmarking Distributed Stream Data Processing Systems. ICDE 2018: 1507-1518 - [c107]Henning Funke, Sebastian Breß, Stefan Noll, Volker Markl, Jens Teubner:
Pipelined Query Processing in Coprocessor Environments. SIGMOD Conference 2018: 1603-1618 - [c106]Jeyhun Karimov, Tilmann Rabl, Volker Markl:
PolyBench: The First Benchmark for Polystores. TPCTC 2018: 24-41 - [c105]Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl:
Benchmarking Distributed Data Processing Systems for Machine Learning Workloads. TPCTC 2018: 42-57 - [r3]Volker Markl:
Query Processing (in Relational Databases). Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Volker Markl, Vinayak R. Borkar, Matei Zaharia, Till Westmann, Alexander Alexandrov:
Big Data Platforms for Data Analytics. Encyclopedia of Database Systems (2nd ed.) 2018 - [i12]Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl:
Benchmarking Distributed Stream Processing Engines. CoRR abs/1802.08496 (2018) - [i11]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl:
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. CoRR abs/1809.06845 (2018) - 2017
- [j43]Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl:
Efficiently Storing and Analyzing Genome Data in Database Systems. Datenbank-Spektrum 17(2): 139-154 (2017) - [j42]Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl:
BlockJoin: Efficient Matrix Partitioning Through Joins. Proc. VLDB Endow. 10(13): 2061-2072 (2017) - [j41]Martin Kiefer, Max Heimel, Sebastian Breß, Volker Markl:
Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models. Proc. VLDB Endow. 10(13): 2085-2096 (2017) - [j40]Chen Xu, Markus Holzemer, Manohar Kaul, Juan Soto, Volker Markl:
On Fault Tolerance for Distributed Iterative Dataflow Processing. IEEE Trans. Knowl. Data Eng. 29(8): 1709-1722 (2017) - [j39]Chen Li, Volker Markl:
Special issue on best papers of VLDB 2015. VLDB J. 26(1): 1-2 (2017) - [j38]Chen Li, Volker Markl:
Erratum to: Special issue on best papers of VLDB 2015. VLDB J. 26(1): 3 (2017) - [c104]Till Rohrmann, Sebastian Schelter, Tilmann Rabl, Volker Markl:
Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems. BTW 2017: 269-288 - [c103]Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl:
Efficient Storage and Analysis of Genome Data in Databases. BTW 2017: 423-442 - [c102]Alexander Alexandrov, Georgi Krastev, Bernd Louis, Andreas Salzmann, Volker Markl:
Emma in Action: Deklarative Datenflüsse für Skalierbare Datenanalyse. BTW 2017: 609 - [c101]Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Optimized on-demand data streaming from sensor nodes. SoCC 2017: 586-597 - [c100]Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba István Sidló, András A. Benczúr:
STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. EDBT/ICDT Workshops 2017 - [c99]Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. EDBT/ICDT Workshops 2017 - [c98]Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl:
I2: Interactive Real-Time Visualization for Streaming Data. EDBT 2017: 526-529 - [c97]Anja Feldmann, Manfred Hauswirth, Volker Markl:
Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs). ICDCS 2017: 1915-1918 - [c96]Volker Markl:
Mosaics: Stratosphere, Flink and Beyond. ICDE 2017: 3 - [c95]Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl:
Benchmarking Data Flow Systems for Scalable Machine Learning. BeyondMR@SIGMOD 2017: 5:1-5:10 - [c94]Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl:
PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. TPCTC 2017: 9-24 - [p3]Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi:
Large-Scale Data Stream Processing Systems. Handbook of Big Data Technologies 2017: 219-260 - [e7]Volker Markl, Salvatore Orlando, Bernhard Mitschang, Periklis Andritsos, Kai-Uwe Sattler, Sebastian Breß:
Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017. OpenProceedings.org 2017, ISBN 978-3-89318-073-8 [contents] - [i10]Quoc-Cuong To, Juan Soto, Volker Markl:
A Survey of State Management in Big Data Processing Systems. CoRR abs/1702.01596 (2017) - [i9]Sebastian Breß, Bastian Köcher, Henning Funke, Tilmann Rabl, Volker Markl:
Generating Custom Code for Efficient Query Execution on Heterogeneous Processors. CoRR abs/1709.00700 (2017) - 2016
- [j37]Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom:
The Beckman report on database research. Commun. ACM 59(2): 92-99 (2016) - [j36]Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl:
Apache Flink in current research. it Inf. Technol. 58(4): 157-165 (2016) - [j35]Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, Volker Markl:
Implicit Parallelism through Deep Language Embedding. SIGMOD Rec. 45(1): 51-58 (2016) - [j34]Uwe Jugel, Zbigniew Jerzak, Gregor Hackenbroich, Volker Markl:
VDDA: automatic visualization-driven data aggregation in relational databases. VLDB J. 25(1): 53-77 (2016) - [c93]Johannes Kirschnick, Holmer Hemsen, Volker Markl:
JEDI: Joint Entity and Relation Detection using Type Inference. ACL (System Demonstrations) 2016: 61-66 - [c92]Uwe Jugel, Zbigniew Jerzak, Volker Markl:
Big data on a few pixels. IEEE BigData 2016: 895-900 - [c91]Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl:
Cutty: Aggregate Sharing for User-Defined Windows. CIKM 2016: 1201-1210 - [c90]Chen Xu, Markus Holzemer, Manohar Kaul, Volker Markl:
Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. ICDE 2016: 613-624 - [c89]