Cloud and Big Data Day 2014 ‒ abstracts

Cloud and Big Data Day is part of SICS Software Week.

 The day is sponsored by EIT ICT Labs.

Program

Introduction, Seif Haridi, SICS Swedish ICT
VIDEO
KEYNOTE: Kostas Tzoumas, Data Artisans, Berlin: Apache Flink: A new distributed data analysis platform

VIDEO & ABSTRACT

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Apache Flink is a next-generation platform for Big Data Analysis. It combines the flexibility and scalability of MapReduce-like systems with a high-performance runtime and automatic optimization technology. Flink is developed by a growing developer community, and is currently witnessing its first commercial installations and use cases.

PRESENTATION

KEYNOTE: Peter Pietzuch, Imperial Collage London: Computing at the Edge: Improving the Performance of Big Data and Mobile Applications with In-Network Computation
VIDEO & ABSTRACT

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This talk describes two examples of edge computing in the context of data centre networking and mobile networks:
In data centres, the performance of distributed Big Data frameworks is frequently limited by network bottlenecks. By executing job-specific aggregation functions on network elements along communication paths, we can thus improve performance.
The user experience of mobile apps that require Internet backend services depends on the latency of network paths from mobile devices to data centres. By placing parts of the backend service within the mobile network itself, it becomes possible to achieve consistently low latencies for mobile users.

PRESENTATION

Ulf Andreasson, MapR: “What would Google do?”

VIDEO & ABSTRACT

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Google has faced many technology scaling challenges and answered the call with innovations for Big Data, as well as big data center compute, big networking and big storage. In fact, when faced with a technical challenge, companies these days will often ask, “What Would Google Do?”

PRESENTATION

Jonas Bonér, CTO & co-founder Typesafe: Building Reactive Systems with Akka

VIDEO & ABSTRACT

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Applications today need to be rich and collaborative, have a real-time feel with millisecond response time and should never stop running. This talk will introduce you to Akka that help you deliver on the four key traits of Reactive; Responsive, Resilient, Elastic and Message-Driven.

Iain Davidson, Marketing Manager, Freescale Networking group in EMEA: Cloud to Fog – IoT is in the Atmosphere

VIDEO & ABSTRACT

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“The cloud” is commonly used to describe the diverse suite of hardware as well as server-based applications, databases and services, while “the fog” now is being used to describe the edge of network realm where all the new “things” of the IoT exist – the “fog layer” is where the intelligence will exist. How do we secure this distributed architecture with hordes of new IoT devices?

PRESENTATION

Tobias Witt, SAS Institute: Analytics at the edge. Examples of opportunity in analysing massive streaming data

VIDEO & ABSTRACT

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When Big Data gets too big, companies are starting to transform and analyze data in motion, what SAS Institute calls event stream processing. This session will examine how event stream processing enables organizations to get greater value out of streaming data, and how they are able to make quicker decisions.

PRESENTATION

Lars Albertsson, Data Architect, Schibsted Media Group: Scalable real-time processing techniques

VIDEO & ABSTRACT

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Big Data today revolves primarily around batch processing with Hadoop and Spark. In many cases, however, it is desirable to quickly react to incoming data, and an approximate result within seconds may be preferable to an accurate result after minutes or hours.

PRESENTATION

Magnus Sahlgren, Gavagai: Text Analytics for Big Data

VIDEO & ABSTRACT

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Gavagai develops scalable and efficient algorithms for building large-scale semantic memories from streaming text data. This talk gives a brief overview of the technologies and touches upon notions such as Big Data, Text Analysis, Semantic Memories, and Deep Learning.

PRESENTATION

KEYNOTE: Ali Ghodsi, UC Berkeley: Reliable, Memory Speed Storage for Cluster Computing Frameworks

VIDEO & ABSTRACT

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TFS is a distributed file system enabling reliable data sharing at memory speed across cluster computing frameworks. Evaluations show that TFS out-performs in-memory HDFS by 110x for writes. TFS is open source and is deployed at multiple companies.

PRESENTATION

Bruno Almeida, F-secure: Using OpenStack in a demanding production environment
VIDEO & ABSTRACT

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In the world of Cloud and Big Data, your typical infrastructure becomes more homogeneous and the hardware details are intentionally abstracted from the users. Due high security and isolation requirements in addition to extremely short livened instances F-Secure Labs faced quite unique challenges with Openstack. We had to overcome constrains such as isolation within different security domains, performance issues and malware handling.

PRESENTATION

Björn Hovstadius, SICS and Markku Kutvonen EIT ICT Labs: EIT ICT Labs High Impact Initiative for Trusted Cloud
VIDEO
Daniel Gillblad, SICS: Summary of the day
VIDEO

 

 

Date/time: 
Tuesday, October 7, 2014,
09:00 to 17:00
Location: 
Kistamässan
Arne Beurlings Torg 5
Kista
Sweden
SE
Contact: 
Kersti Hedman