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Mon 19 Jun 2017 14:20 - 14:40 at Vertex WS219 - Doctoral Symposium

Against the backdrop of ever-growing data volumes and trends like the Internet of Things (IoT) or Industry 4.0, Data Stream Processing Systems (DSPSs) or data stream processing architectures in general receive a greater interest. Continuously analyzing streams of data allows immediate responses to environmental changes. A challenging task in that context is assessing and comparing data stream processing architectures in order to identify the most suitable one for certain settings. The present paper provides an overview about performance benchmarks that can be used for analyzing data stream processing applications. By describing shortcomings of these benchmarks, the need for a new application benchmark in this area, especially for a benchmark covering enterprise architectures, is highlighted. A key role in such an enterprise context is the combination of streaming data and business data, which is barely covered in current data stream processing benchmarks. Furthermore, first ideas towards the development of a solution, i.e., a new application benchmark that is able to fill the existing gap, are depicted.

Conference Day
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 AffettiPolitecnico di Milano
14:20
20m
Talk
A New Application Benchmark for Data Stream Processing Architectures in an Enterprise Context
DEBS Doctoral Symposium
Guenter HesseHasso Plattner Institute, Christoph MatthiesHasso Plattner Institute, Benjamin ReissausHasso Plattner Institute
14:40
20m
Talk
Raphtory: Decentralised Streaming for Temporal Graphs
DEBS Doctoral Symposium
Benjamin SteerQueen Mary University London, Félix CuadradoQueen Mary University of London, Richard CleggQueen Mary University London
15:00
20m
Talk
Large-Scale Stream Graph Processing
DEBS Doctoral Symposium
Domagoj MarganImperial College London