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DTSTART:20180325T030000
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DTSTART:20171029T020000
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DTSTAMP:20260406T071811Z
UID:5a3922aeb5b90530389869@ist.ac.at
DTSTART:20180130T090000
DTEND:20180130T101500
DESCRIPTION:Speaker: Konstantinos Mamouras\nhosted by Krish Chatterjee\nAbs
 tract: Modern information processing systems increasingly demand the abili
 ty to continuously process incoming streaming data in a timely and reliabl
 e manner. Data streams arise in diverse applications ranging from patient 
 monitoring in healthcare to real-time decision-making in emerging Internet
  of Things (IoT) systems. In this talk\, I will present my research on the
  design of programming abstractions for stream processing that enable guar
 antees of correctness and predictable performance. First\, I will introduc
 e a type-based framework for the logical specification of distributed stre
 aming computations that facilitates correct and efficient deployment on di
 stributed architectures such as Apache Storm. Then\, I will present Stream
 QRE\, a declarative domain-specific language and execution engine for stre
 am processing. StreamQRE offers strong theoretical guarantees for resource
  usage\, and its performance on realistic workloads is shown to compare fa
 vorably against other popular streaming engines. Finally\, as a case study
 \, I will discuss the application of StreamQRE to the design space explora
 tion of alternative algorithms for cardiac arrhythmia detection.
LOCATION:Mondi Seminar Room 2\, Central Building\, ISTA
ORGANIZER:pdelreal@ist.ac.at
SUMMARY:Konstantinos Mamouras: Programming Abstractions for Data Stream Pro
 cessing Systems
URL:https://talks-calendar.ista.ac.at/events/1033
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