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Mon 19 Jun 2017 14:00 - 14:20 at Vertex WS219 - Doctoral Symposium

Stream Processors (SPs) continuously transform huge volumes of input streams with a computational model that is inherently distributed, scalable, and fault-tolerant. For these reasons they are used in application environments in which almost real-time computation is of paramount importance, such as stock option analysis, fraud detection systems, monitoring, and real-time data analytics for web applications. In many applicative domains, SPs are used in conjunction with data management systems such as transactional databases and data warehouses that store intermediate or final results produced by the SPs. However, SPs have no control on the consistency guarantees of the results produced on external components. We propose a novel approach that we name consistent stream processing that integrates the external state of databases within the SP and enforces consistency guarantees both on state updates and on external querying. We extend the computational model of SPs with transactions and we provide two possible strategies to enforce their transactional properties.

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