Daniel Warneke
Daniel Warneke
Visiting Postdoc, International Computer Science Institute, Berkeley
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Citado por
Citado por
The Stratosphere platform for big data analytics
A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ...
The VLDB Journal, 1-26, 2014
Exploiting dynamic resource allocation for efficient parallel data processing in the cloud
D Warneke, O Kao
Parallel and Distributed Systems, IEEE Transactions on 22 (6), 985-997, 2011
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
D Battré, S Ewen, F Hueske, O Kao, V Markl, D Warneke
Proceedings of the 1st ACM symposium on Cloud computing, 119-130, 2010
Nephele: efficient parallel data processing in the cloud
D Warneke, O Kao
Proceedings of the 2nd Workshop on Many-Task Computing on Grids and …, 2009
MapReduce and PACT-Comparing Data Parallel Programming Models.
A Alexandrov, S Ewen, M Heimel, F Hueske, O Kao, V Markl, E Nijkamp, ...
BTW, 25-44, 2011
Massively parallel data analysis with PACTs on Nephele
A Alexandrov, M Heimel, V Markl, D Battré, F Hueske, E Nijkamp, S Ewen, ...
Proceedings of the VLDB Endowment 3 (1-2), 1625-1628, 2010
Nephele streaming: stream processing under QoS constraints at scale
B Lohrmann, D Warneke, O Kao
Cluster computing 17 (1), 61-78, 2014
Iterative parallel data processing with Stratosphere: An inside look
S Ewen, S Schelter, K Tzoumas, D Warneke, V Markl
SIGMOD, 2013
Evaluation of Network Topology Inference in Opaque Compute Clouds Through End-to-End Measurements
D Battré, N Frejnik, S Goel, O Kao, D Warneke
Cloud Computing (CLOUD), 2011 IEEE International Conference on, 17-24, 2011
Massively-parallel stream processing under QoS constraints with Nephele
B Lohrmann, D Warneke, O Kao
Proceedings of the 21st international symposium on High-Performance Parallel …, 2012
Mobile cooperative WLANs-MAC and transceiver design, prototyping, and field measurements
S Valentin, HS Lichte, D Warneke, T Biermann, R Funke, H Karl
Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th, 1-5, 2008
Detecting bottlenecks in parallel DAG-based data flow programs
D Battré, M Hovestadt, B Lohrmann, A Stanik, D Warneke
Many-Task Computing on Grids and Supercomputers (MTAGS), 2010 IEEE Workshop …, 2010
Evaluating Adaptive Compression to Mitigate the Effects of Shared I/O in Clouds
M Hovestadt, O Kao, A Kliem, D Warneke
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 …, 2011
Assessgrid strategies for provider ranking mechanisms in risk–aware grid systems
D Battré, K Djemame, I Gourlay, M Hovestadt, O Kao, J Padgett, K Voss, ...
Grid Economics and Business Models, 226-233, 2008
Adaptive Online Compression in Clouds—Making Informed Decisions in Virtual Machine Environments
M Hovestadt, O Kao, A Kliem, D Warneke
Journal of grid computing 11 (2), 167-186, 2013
Inferring Network Topologies in Infrastructure as a Service Cloud
D Battré, N Frejnik, S Goel, O Kao, D Warneke
Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster …, 2011
Massively Parallel Data Processing on Infrastructure as a Service Platforms.
D Warneke
Berlin Institute of Technology, 2011
Ephemeral materialization points in stratosphere data management on the cloud
M Höger, O Kao, P Richter, D Warneke
Adv. Parallel Comput 23, 163-181, 2013
A case for dynamic memory partitioning in data centers
D Warneke, C Leng
Proceedings of the Second Workshop on Data Analytics in the Cloud, 41-45, 2013
Load Balancing in P2P Networks: Using Statistics to Fight Data and Execution Skew.
D Warneke, C Dannewitz
Journal of Advances in Information Technology 2 (1), 2011
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Artículos 1–20