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DTSTART:20190331T030000
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DTSTART:20181028T020000
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DTSTAMP:20260404T133223Z
UID:5c32feaa8ade5801269781@ist.ac.at
DTSTART:20190228T090000
DTEND:20190228T100000
DESCRIPTION:Speaker: Vasiliki Kalavri\nhosted by Dan Alistarh\nAbstract: Wh
 ile the early wave of big data technologies focused largely on accommodati
 ng the scale and complexity of available information\, emerging data-drive
 n applications additionally require low-latency and continuously updated r
 esults. Stream processing renounces the traditional view of static data in
 puts and instead advocates for long-running analysis of possibly unbounded
  event streams.In this talk\, I discuss fundamental research challenges in
  building next-generation streaming systems capable of automatic re-config
 uration without downtime. I will share recent work on an automatic scaling
  controller which makes fast and accurate scaling decisions via lightweigh
 t runtime instrumentation and a comprehensive dataflow performance model. 
 I will conclude with open problems and future directions in automatic\, lo
 ng-running operation of streaming computations and large-scale continuous 
 data analytics in general.
LOCATION:Mondi Seminar Room 2\, Central Building\, ISTA
ORGANIZER:tguggenb@ist.ac.at
SUMMARY:Vasiliki Kalavri: Scalable systems for continuous processing of dat
 a streams
URL:https://talks-calendar.ista.ac.at/events/1730
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