Prof. Radu Prodan

The paper “Dynamic Multi-Objective Virtual Machine Placement in Cloud Data Centers” has been accepted

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The paper “Dynamic Multi-Objective Virtual Machine Placement in Cloud Data Centers” has been accepted for publication at the Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2019 to be held at Chalkidiki, Greece (August 28-30, 2019).

Author: Radu Prodan

Abstract: Minimizing the resource wastage reduces the energy cost of operating a data center, but may also lead to a considerably high resource overcommitment affecting the Quality of Service (QoS) of the running applications. Determining the effective tradeoff between resource wastage and overcommitment is a challenging task in virtualized Cloud data centers and depends on how Virtual Machines (VMs) are allocated to physical resources. In this paper, we propose a multi-objective framework for dynamic placement of VMs exploiting live-migration mechanisms which simultaneously optimize the resource wastage, overcommitment ratio and migration cost. The optimization algorithm is based on a novel evolutionary meta-heuristic using an island population model underneath. We implemented and validated our method based on an enhanced version of a well-known simulator.
The results demonstrate that our approach outperforms other related approaches by reducing up to 57% migrations energy consumption while achieving different energy and QoS goals.

The paper “MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment” has been accepted

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The paper “MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment” has been accepted for publication at the 9th International Conference on the Internet of Things, IoT 2019 to be held at Bilbao, Spain (October 22-25, 2019).

Authors: Narges Mehran, Dragi Kimovski, Radu 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 offering only 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 and uses three convicting optimization objectives, namely completion time, energy consumption, and economic cost, considering both the computation and communication aspects. In contrast to existing solutions that optimize a single objective value, 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 up to 27%, while decreasing the energy requirements by 23-68%, and optimizes the completion time by up to 7.3 times.

Keywords: Fog computing, IoT application placement, multi-objective optimization, energy consumption
Acknowledgement: Austrian Research Promotion Agency (FFG), project 848448, Tiroler Cloud, funded this work.

EU H2020 Project ASPIDE Meeting in Madrid

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Prof. Radu Prodan and Dr. Dragi Kimovski participated in the ASPIDE meeting.

Aspide-Meeting-Madrid-2019

Aspide-Meeting-Madrid-2019

Mathias Lux

2nd GSE & Game Jam Retreat

The second Game Studies and Engineering and Game Jam retreat took place on June 27-29 at Marktlalm on Turracher Höhe. The curriculum committee, game jam volunteers and organizers of the GamePics jam and show came together to discuss ongoing and future activities of the AAU in the context of games.

Christian Timmerer

ACMMM’19 Tutorial: A Journey towards Fully Immersive Media Access

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Abstract: Universal media access as proposed in the late 90s, early 2000 is now reality. Thus, we can generate, distribute, share, and consume any media content, anywhere, anytime, and with/on any device. A major technical breakthrough was the adaptive streaming over HTTP resulting in the standardization of MPEG-DASH, which is now successfully deployed in HTML5 environments thanks to corresponding media source extensions (MSE). The next big thing in adaptive media streaming is virtual reality applications and, specifically, omnidirectional (360°) media streaming, which is currently built on top of the existing adaptive streaming ecosystems. This tutorial provides a detailed overview of adaptive streaming of both traditional and omnidirectional media within HTML5 environments. The tutorial focuses on the basic principles and paradigms for adaptive streaming – both traditional and omnidirectional media – as well as on already deployed content generation, distribution, and consumption workflows. Additionally, the tutorial provides insights into standards and emerging technologies in the adaptive streaming space. Finally, the tutorial includes the latest approaches for immersive media streaming enabling 6DoF DASH through Point Cloud Compression (PCC) and concludes with open research issues and industry efforts in this domain.

Lecturers: Christian Timmerer, Alpen-Adria-Universität Klagenfurt & Bitmovin, Inc.
Ali C. Begen, Ozyegin University and Networked Media Read more

Papers accepted at Europar Workshop 2019, Göttingen, August 26-27, 2019

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The papers titled, ‘ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment’ , and ‘A Semantic Model with Self-Adaptive and Autonomous Relevant Technology for Social Media Applications’ are accepted at Seventh Workshop on Large Scale Distributed Virtual Environments, LSDVE 2019 collocated at Europar 2019. The papers descriptions are as follows:

1. ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment

Authors: Radu Prodan, Nishant Saurabh, Zhiming Zhao and Kate Orton-Johnson

2. A Semantic Model with Self-Adaptive and Autonomous Relevant Technology for Social Media Applications

Authors: Zahra Najafabadi Samani, Alexander Lercher, Nishant Saurabh, Radu Prodan