Tutorial: Elastic and Fault Tolerant Event Stream Processing Using StreamMine3G

Publikation: Beitrag zu KonferenzenPaperBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
Seitenumfang2
PublikationsstatusVeröffentlicht - 2013
Peer-Review-StatusJa

Workshop

TitelWorkshop on Distributed Cloud Computing (DCC 2013) (UCC '13), IEEE Computer Society, 2013
Veranstaltungsnummer
Dauer9 Dezember 2013
Ort
StadtDresden
LandDeutschland

Externe IDs

Scopus 84901666225

Schlagworte

Forschungsprofillinien der TU Dresden

DFG-Fachsystematik nach Fachkollegium

Schlagwörter

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