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Schintke, Florian
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1

Validity constraints for data analysis workflows:

Schintke, Florian ; Belhajjame, Khalid ; De Mecquenem, Ninon...
Future Generation Computer Systems.  157 (2024)  - p. 82-97 , 2024
Link: https://doi.org/10.1016/..
 
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2

Proactive Resource Management to Optimize Distributed Workf..:

, In: 2023 IEEE International Conference on Big Data (BigData),
Witzke, Joel ; Schintke, Florian ; Loser, Ansgar. - p. 6305-6307 , 2023
Link: https://doi.org/10.1109/..
 
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3

BottleMod: Modeling Data Flows and Tasks for Fast Bottlenec..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Loser, Ansgar ; Witzke, Joel ; Schintke, Florian. - p. 6769-6771 , 2022
Link: https://doi.org/10.1109/..
 
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4

IOSIG: Declarative I/O-Stream Properties Using Pragmas:

Gholami, Masoud ; Schintke, Florian
Datenbank-Spektrum.  22 (2022)  2 - p. 109-119 , 2022
Link: https://doi.org/10.1007/..
 
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5

The Collaborative Research Center FONDA:

Leser, Ulf ; Hilbrich, Marcus ; Draxl, Claudia...
Datenbank-Spektrum.  21 (2021)  3 - p. 255-260 , 2021
Link: https://doi.org/10.1007/..
 
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6

RMWPaxos: Fault-Tolerant In-Place Consensus Sequences:

Skrzypczak, Jan ; Schintke, Florian ; Schutt, Thorsten
IEEE Transactions on Parallel and Distributed Systems.  31 (2020)  10 - p. 2392-2405 , 2020
Link: https://doi.org/10.1109/..
 
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7

Towards Log-Less, Fine-Granular State Machine Replication:

Skrzypzcak, Jan ; Schintke, Florian
Datenbank-Spektrum.  20 (2020)  3 - p. 231-241 , 2020
Link: https://doi.org/10.1007/..
 
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8

FFMK: A Fast and Fault-Tolerant Microkernel-Based System fo..:

, In: Software for Exascale Computing - SPPEXA 2016-2019; Lecture Notes in Computational Science and Engineering,
Weinhold, Carsten ; Lackorzynski, Adam ; Bierbaum, Jan... - p. 483-516 , 2020
Link: https://doi.org/10.1007/..
 
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9

Pinpoint Data Races via Testing and Classification:

, In: 2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW),
Hartung, Marc ; Schintke, Florian ; Schutt, Thorsten - p. 386-393 , 2019
Link: https://doi.org/10.1109/..
 
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10

Scheduling data streams for low latency and high throughput..:

Salem, Farouk ; Schintke, Florian ; Schütt, Thorsten.
Concurrency and Computation: Practice and Experience.  32 (2019)  20 - p. , 2019
Link: https://doi.org/10.1002/..
 
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11

Linearizable State Machine Replication of State-Based CRDTs..:

, In: Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing,
Skrzypczak, Jan ; Schintke, Florian ; Schütt, Thorsten - p. 455-457 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

Multilevel Checkpoint/Restart for Large Computational Jobs ..:

, In: 2019 38th Symposium on Reliable Distributed Systems (SRDS),
Gholami Estahbanati, Masoud ; Schintke, Florian - p. 143-14309 , 2019
Link: https://doi.org/10.1109/..
 
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13

From Application to Disk: Tracing I/O Through the Big Data ..:

, In: Lecture Notes in Computer Science; High Performance Computing,
Schmidtke, Robert ; Schintke, Florian ; Schütt, Thorsten - p. 89-102 , 2018
Link: https://doi.org/10.1007/..
 
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14

Checkpoint Scheduling for Shared Usage of Burst-Buffers in ..:

, In: Proceedings of the 47th International Conference on Parallel Processing Companion,
Gholami, Masoud ; Schintke, Florian ; Schütt, Thorsten - p. 1-10 , 2018
Link: https://dl.acm.org/doi/1..
 
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15

D-Grid Scheduler Interoperability 

Schlussbericht 
Högqvist, Mikael ; Schintke, Florian , 2012
Link: http://edok01.tib.uni-ha..
 
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