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

, , ,

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.