Seminar: Distributed Computing Frameworks for Big Data

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Hajautetut järjestelmät ja tietoliikenne
Syventävät opinnot
Vuosi Lukukausi Päivämäärä Periodi Kieli Vastuuhenkilö
2014 syksy 12.09-12.12. 1-2 Englanti Sasu Tarkoma

Luennot

Aika Huone Luennoija Päivämäärä
Pe 14-16 C220 Sasu Tarkoma 12.09.2014-17.10.2014
Pe 14-16 C220 Sasu Tarkoma 31.10.2014-12.12.2014

Yleistä

This seminar investigates emerging distributed computing frameworks for Big Data. The aim is to understand the challenges for distributed data analytics and machine learning with Big Data and then examine key solutions for supporting efficient and scalable operation in a cluster. The key frameworks include Berkeley Data Analytics Stack (BDAS), Spark, Hadoop, Dryad, MLib, etc. The seminar focuses on distributed data and computation placement and state synchronization,  and the design of machine learning algorithms for the distributed environment with the help of middleware frameworks.

The seminar is given by professor Sasu Tarkoma and Dr. Mohammad Hoque.

 

Seminar results (Intranet).

 

Kirjallisuus ja materiaali

 The seminar schedule, articles, and additional material will be available through a Wiki page.

 

Link to the Wiki (restricted to seminar participants).