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 program-
ming 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

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