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’ presented at Seventh Workshop on Large Scale Distributed Virtual Environments, LSDVE 2019 collocated at Europar 2019.

ARTICONF team also took advantage of the conference to hold a round table inter-cooperative discussion with an another Next Genreation Social Media EU H2020 project HELIOS with Dr. Laura Ricci, Dr. Dana Petcu, and Dr. Zhiming Zhao. Both project teams identified a number of similar research topics exiting within both projects namely #Context #Trust #CommunityDetection, and hence pledged support for improved inter and intra- cooperation.

The presented papers description 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

Articonf LSDVE, Euro-Par 2019

Articonf LSDVE, Euro-Par 2019

Prof. Radu Prodan

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 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.

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

Aspide-Meeting-Madrid-2019

Aspide-Meeting-Madrid-2019

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

Prof. Radu Prodan coordinated EU H2020 Project ARTICONF team met at Stavanger and held technical cum plenary discussions between June 4th to June 7th 2019 with a goal to present some exciting development towards next generation social media.

Articonf meeting at Stavanger 2019

Articonf meeting at Stavanger 2019

Prof. Radu Prodan

Univ.-Prof. DI Dr. Radu Prodan has been invited to be a part of panel discussion on emerging Blockchain and Edge computing technology and paradigms at PAISE (Parallel AI and Systems for the Edge), collocated workshop at the prestigious 33rd IEEE International Parallel & Distributed Processing Symposium, IPDPS 2019 to be held at Rio de Janerio, Brazil (May 20-24 2019).

The Institute of Information Technology at the Alpen-Adria-Universität Klagenfurt invites applications for Post-Doctoral Research Positions (100% employment) within the Christian Doppler (CD) Pilot Laboratory ATHENA “Adaptive Streaming over HTTP and Emerging Networked Multimedia Services” ATHENA-JobApplication PostDoc