[parml] Ομιλία Βάσιας Καλαβρή, Τετάρτη, 10/7

[Georgios Goumas]

Καλημέρα,

Τη Τετάρτη 10/7, στις 14:30 στο Αμφιθέατρο Πολυμέσων της Κεντρικής 
Βιβλιοθήκης, έχουμε τη χαρά να φιλοξενούμε την ομιλία της Βάσιας 
Καλαβρή, ερευνήτριας στο ETH. Στη συνέχεια μπορείτε να βρείτε 
λεπτομέρειες της ομιλίας και βιογραφικό της ομιλήτριας.

Χαιρετισμους,

Γιώργος Γκούμας

Title: Long-running data stream analytics at scale


Abstract

—————

While the early wave of big data technologies focused largely on 
accommodating the scale and complexity of available information, 
emerging data-driven applications additionally require low-latency and 
continuously updated results. Stream processing renounces the 
traditional view of static data inputs 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-configuration 
without downtime. I will share recent work on an automatic scaling 
controller which makes fast and accurate scaling decisions via 
lightweight runtime instrumentation and a comprehensive dataflow 
performance model. I will conclude with open problems and future 
directions in automatic, long-running operation of streaming 
computations and large-scale continuous data analytics in general.


Bio

—————

Vasiliki (Vasia) Kalavri is a postdoctoral fellow at the Systems Group 
of ETH Zurich and an Adjunct Assistant Professor in the Department of 
Computer Science at Boston University. Her research interests include 
distributed stream processing, large-scale graph analytics, and the 
intersection of the two. Vasia has a joint PhD from KTH, Stockholm, and 
UCLouvain, Belgium, where she was an EMJD-DC fellow. Her PhD thesis 
received the IBM Innovation Award 2017. Vasia is also a PMC member of 
Apache Flink and co-author of O’Reilly’s “Stream Processing with Apache 
Flink”.

-- 
Georgios I. Goumas
Assistant Professor
National Technical University of Athens
Computing Systems Laboratory
Tel. +30-210-7722402
e-mail: goumas at cslab.ece.ntua.gr
http://www.cslab.ece.ntua.gr/~goumas

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