Write a Blog >>
Mon 19 Jun 2017 14:40 - 15:00 at Vertex WS219 - Doctoral Symposium

Temporal graphs capture the relationships within data as they develop throughout time. Intuition, therefore, suggests that this model would fit naturally within a streaming architecture, where new points of comparison can be inserted directly into the graph as they arrive from the data source. However, the current state of the art has yet to join these two concepts, supporting either temporal analysis on static data or streaming into one-dimensional dynamic graphs. To solve this problem we introduce Raphtory, a temporal graph streaming platform, which maintains a full graph history whilst efficiently inserting new alterations.

Mon 19 Jun

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:00 - 15:30
14:00
20m
Talk
Consistent Stream Processing
DEBS Doctoral Symposium
Lorenzo Affetti Politecnico di Milano
14:20
20m
Talk
A New Application Benchmark for Data Stream Processing Architectures in an Enterprise Context
DEBS Doctoral Symposium
Guenter Hesse Hasso Plattner Institute, Christoph Matthies Hasso Plattner Institute, Benjamin Reissaus Hasso Plattner Institute
14:40
20m
Talk
Raphtory: Decentralised Streaming for Temporal Graphs
DEBS Doctoral Symposium
Benjamin Steer Queen Mary University London, Félix Cuadrado Queen Mary University of London, Richard Clegg Queen Mary University London
15:00
20m
Talk
Large-Scale Stream Graph Processing
DEBS Doctoral Symposium
Domagoj Margan Imperial College London