M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications has been accepted to the Euromicro PDP’2020

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The paper has been accepted (through double-blind peer review) as a regular paper of the Euromicro PDP’2020 conference to be held in Vasteras, Sweden on 11-13 March, 2020.

Title: M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications

Authors: Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Iuhasz Gabriel, Marek Justyna and Javier Garcia-Blas

Abstract: Nowadays, massive amounts of data are acquired, transferred, and analyzed nearly in real-time by utilizing a large number of computing and storage elements interconnected through high-speed communication networks. However, one issue that still requires research effort is to enable efficient monitoring of applications and infrastructures of such complex systems. In this paper, we introduce a Integer Linear Programming (ILP) model called M3AT for optimised assignment of monitoring agents and aggregators on large-scale computing systems. We identified a set of requirements from three representative data-intensive applications and exploited them to define the model’s input parameters. We evaluated the scalability of M3AT using the Constraint Integer Programing (SCIP) solver with default configuration based on synthetic data sets. Preliminary results show that the model provides optimal assignments for systems composed of up to 200 monitoring agents while keeping the number of aggregators constant and demonstrates variable sensitivity with respect to the scale of monitoring data aggregators and limitation policies imposed.

Keywords: Monitoring systems, high performance computing, aggregation, systems control, data-intensive systems, generalized assignment problem, SCIP optimization suite.

Acknowledgement: This work has received funding from the EC-funded project H2020 FETHPC ASPIDE (Agreement #801091)

3rd Winter Game Jam in Klagenfurt on Dec 20-22, 2019

Save the date! 3rd Winter Game Jam is around the corner: Dec 20-22, 2019! Make sure to get a ticket asap on https://itec.aau.at/gamejam

Thanks to our sponsors Anexia, Alpen-Adria Universität Klagenfurt, Alturos, Bitmovin, Dynatrace, Sensolligent, and Imendo for supporting us!

What is a game jam? The 3rd Winter Game Jam is open to everyone who likes games and wants to create, test and talk about games. Starting on Friday the topic will be revealed to all participants at the same time and random groups will brainstorm games. Then, after the ideas are pitched, team will emerge around ideas and games are to be created. Finally, on Sunday, the projects are presented and can be played and tested.

Narges Mehran presented her work at the 9th International Conference on the Internet of Things, IoT 2019

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Narges Mehran presented the paper  “MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment” at the 9th International Conference on the Internet of Things, IoT 2019 in Bilbao, Spain (October 22-25, 2019).

Authors: Narges MehranDragi KimovskiRadu Prodan (Alpen-Adria Universität Klagenfurt).

Abstract: The emergence of the Fog computing paradigm that leverages in-network virtualized resources raises important challenges in terms of resource and IoT application management in a heterogeneous environment with limited computing resources. In this work, we propose a novel Pareto-based approach for application placement close to the data sources called Multi-objective IoT Application Placement in fOg (MAPO). MAPO models applications based on a finite state machine using three conflicting optimization objectives, completion time, energy consumption, and economic cost, and considering both the computation and communication aspects. In contrast to existing solutions that optimize a single objective, MAPO enables multi-objective energy and cost-aware application placement. To evaluate the quality of the MAPO placements, we created both simulated and real-world testbeds tailored for a set of medical IoT application case studies. Compared to the state-of-the-art approaches, MAPO reduces the economic cost by 28%, while decreasing the energy requirements by 29-64% on average, and improves the completion time by a factor of six.

Track: IoT Edge and Cloud @IoT’19
Acknowledgement: Austrian Research Promotion Agency (FFG), project 848448, Tiroler Cloud, funded this work.

Prof. Radu Prodan

Prof. Radu Prodan participated at the PhD examination of Dr. Yang Hu and Dr. Huan Zhou at the University of Amsterdam, Netherlands.

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Prof. Radu Prodan participated at the PhD examination of Dr. Yang Hu and Dr. Huan Zhou at the University of Amsterdam, Netherlands.

With: Prof. Peter van Emde Boas, Prof. Cees de Laat, Prof. Henri E. Bal, Dr. Paola Grosso, Dr. Zhiming Zhao, Prof. Rob van Nieuwpoort, Prof. Pieter Adriaans, Dr. Adam S.Z. Belloum

Sabrina Kletz presented her work at the MIAR Workshop @ MICCAI 2019

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Sabrina Kletz presented the paper “Learning the Representation of Instrument Images in Laparoscopy Video” at the MIAR Workshop @ MICCAI 2019 in Shenzhen, China.

Authors: Sabrina Kletz, Klaus Schoeffmann, Heinrich Husslein

Abstract: Automatic recognition of instruments in laparoscopy videos poses many challenges that need to be addressed like identifying multiple instruments appearing in various representations and in different lighting conditions which in turn may be occluded by other instruments, tissue, blood or smoke. Considering these challenges it may be beneficial for recognition approaches that instrument frames are first detected in a sequence of video frames for further investigating only these frames. This pre-recognition step is also relevant for many other classification tasks in laparoscopy videos such as action recognition or adverse event analysis. In this work, we address the task of binary classification to recognize video frames as either instrument or non-instrument images. We examine convolutional neural network models to learn the representation of instrument frames in videos and take a closer look at learned activation patterns. For this task, GoogLeNet together with batch normalization is trained and validated using a publicly available dataset for instrument count classifications. We compare transfer learning with learning from scratch and evaluate on datasets from cholecystectomy and gynecology. The evaluation shows that fine-tuning a pre-trained model on the instrument and non-instrument images is much faster and more stable in learning than training a model from scratch.

Conference: 2019 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 13–17, 2018, Shenzhen, China

Track: Medical Imaging and Augmented Reality (MIAR) Workshop @MICCAI

Mathias Lux

Hüttenjam 2019 is over and it has been a hugely successful event

The Hüttenjam 2019 is over and it has been a hugely successful event. 26 participants jammed for two days and two nights in four chalets at Marktlalm, on Turracher Höhe. Six games have been developed matching the topic “Can’t see the wood for the trees”. Games ranged from multiplayer hide and seek, to simulations, platformers, stealth, and puzzle games. All games can be found on Itch.io [1]. Besides working on the games we could socialize and network with joint breakfast and lunches and trips to the Nockiflitzer and Panoramaalm. For the motivated participants, there were running sessions in the morning and a hike to Rinsennock. 

General feedback by the participants indicated that people wanted to have a second edition next year. Responses on social networks like Twitter, Facebook and Instagram indicated that many more people are interested beyond the ones already attending. For Twitter top tweets had more than 70 likes [2], with the initial Facebook video we reached more than 700 people within a month, with the latest video we reached more than 70 people in a day [3]. 

Thanks a lot to all the sponsors who made this possible: Bitmovin, Förderverein Technische Fakultät, and Technische Fakultät der Universität Klagenfurt. If you want to spread the word about the event, feel free to use any photos or video from [4].

[1] All games online: https://itch.io/jam/huettenjam

[2] Hüttenjam on Twitter https://twitter.com/search?q=%23h%C3%BCttenjam

[3] Gamebert on Facebook https://www.facebook.com/gamebert

[4] Photos and videos: https://photos.app.goo.gl/BNEPzjoLJwLiP4kR6

Christian Timmerer

5GPlayground-Eröffnung mit ITEC-Use-Case “Virtual Realities”

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Mit dem 5G Summit Carinthia, ein Kurzsymposium zur neuen Mobilfunktechnologie 5G, wurde heute der 5G Playground Carinthia feierlich eröffnet. Der 5G Playground Carinthia ist österreichweit die erste Serviceeinrichtung für die Erforschung und Weiterentwicklung von 5G-spezifischen Anwendungen, Services und Geschäftsmodellen. Das Bundesministerium für Verkehr, Innovation und Technology (BMVIT) sowie das Land Kärnten finanzieren dieses einzigartige Forschungslabor im Süden Österreichs. A1 Telekom Austria stellt die technische Infrastruktur zur Verfügung.

Der 5G Playground Carinthia bietet allen Forschungs-, Innovations- und Bildungseinrichtungen sowie KMUs und Start Ups die einzigartige Möglichkeit ihre Produkte und Anwendungen mit dieser neuen Technologie zu testen und im Echtbetrieb zu erproben.

Die Alpen-Adria-Universität Klagenfurt und insbesondere das Institut für Informationstechnologie beteiligt sich an dem 5GPlayground mit einen Use-Case über “Virtual Realities”. Das Projekt erforscht, entwickelt, erprobt und evaluiert ausgewählte VR-Anwendungen über 5G-Netze, z.B. Streaming von 360°-Videos und von neuen Formen immersiver Medien, etwa von volumetrischen Daten (Point Clouds). Diese Anwendungen erfordern und testen sowohl die hohen Datenraten als auch die extrem geringen Verzögerungszeiten von 5G-Netzen, im Downlink (Streaming zu einer VR-Brille) wie auch im Uplink (Streaming von Live-Inhalten von einer 360°-Kamera weg). Darüber hinaus werden Edge-Computing-Komponenten genutzt, die 5G vorsieht, um höhere Präsentationsqualität und raschere Reaktionszeiten des VR-Systems bei Bewegung/Interaktion eines Nutzers zu erreichen. Es werden VR-Systeme entwickelt, welche die Leistungsfähigkeit von 5G zu demonstrieren erlauben.

Link: https://5gplayground.at/

Prof. Radu Prodan @ EU High level Social Media Symposium Panel Discussion

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Read more about the High level Symposium.

Blockchain course in WS 2019 – Assoc.-Prof. Dr. Antorweep Chakravorty

BlockchainITEC is delighted to announce the next speaker in our guest lecture series – Dr. Antorweep Chakravorty from University of Stavanger and bitYoga, Norway. The course will take place from November 18 – 29, 2019

This course presents an introduction and further information about the high-interest topic blockchains. Please register at the course 623.714.

Further information is available HERE.

3rd ARTICONF technical meeting in Porto.

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