Tutorial: Elastic and Fault Tolerant Event Stream Processing Using StreamMine3G

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

Abstract

The massive amount of new data being generated each day by data sources such as smartphones and sensor devices calls for new techniques to process such continues streams of data. Event Stream Processing (ESP) addresses this problem and enables users to process such data streams in (soft) realtime allowing the detection as well as a quick reaction to relevant situations. In this tutorial, we will introduce the participants to ESP techniques as well as ESP systems such as Storm, Apache S4 and StreamMine3G. We will cover aspects such as programming models, fault tolerance as well as elasticity and cloud support of these platforms.

Details

Original languageEnglish
Number of pages2
Publication statusPublished - 2013
Peer-reviewedYes

Workshop

TitleWorkshop on Distributed Cloud Computing (DCC 2013) (UCC '13), IEEE Computer Society, 2013
Conference number
Duration9 December 2013
Location
CityDresden
CountryGermany

External IDs

Scopus 84901666225

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Keywords

  • event stream processing, cep, fault tolerance, mapreduce, deterministic execution, elasticity, esp, cep, fault tolerance, mapreduce, deterministic execution, elasticity