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Thu 22 Jun 2017 16:25 - 16:55 at Vertex WS215 - Incremental computing 3: Research talks

Distributed incremental processing is an effective solution for processing large amounts of data in an efficient way. In this setting, algorithms for operator placement automatically distribute data queries the the available processing units. However, current algorithms for operator placement focus on performance and ignore privacy concerns that arise when handling sensitive data.

We present ongoing research on a new methodology for privacy-aware operator placement that both prevents leakage of sensitive information and improves performance. We implement a working prototype based on previous work on (local) incremental computation.

Thu 22 Jun
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15:50 - 17:30
Incremental computing 3: Research talksIC at Vertex WS215
15:50
30m
Talk
Incremental Relational Lenses
IC
Rudi HornUniversity of Edinburgh, James CheneyUniversity of Edinburgh, UK
File Attached
16:25
30m
Talk
Privacy-aware Distributed Incremental Computation
IC
Mirko KöhlerTechnical University of Darmstadt, Philipp HallerKTH Royal Institute of Technology, Sebastian ErdwegTU Delft, Mira MeziniTU Darmstadt, Guido SalvaneschiTU Darmstadt
File Attached
17:00
30m
Talk
Tuning Data and Control Structures for Incremental Computation
IC
Kyle HeadleyUniversity of Colorado Boulder
File Attached