Over two days (June 6-7, 2022) the 11th Video Browser Showdown (VBS) – www.videobrowsershowdown.org, co-organized by Klaus Schöffmann, took place in Phu Quoc, Vietnam. Sixteen teams participated  in about six hours of competition to solve video content search tasks in a large video dataset (V3C1+V3C2), comprising 2300 hours of video content (17235 video files). Eleven teams on site, together with 5 more teams online, accepted the challenge, competed with each other, and showcased their state-of-the-art video search systems to the conference public of MMM 2022 (http://mmm2022.org).  Congratulations to the winning teams of different search categories: vibro (Germany), CVHunter (Czech Republic), VISIONE (Italy).

An EU funding programme enabling researchers to set up their own interdisciplinary research networks in Europe and beyond. #COSTactions

 

From 16 to 19 May 2022, general Co-Chair, Radu Prodan, successfully presented the relevance of Cloud-Edge-IoT at CCGrid2022 conference in Taormina, Italy.

Find out more here.

This years´s “Lange Nacht der Forschung” took place on May 20, 2022. The LNDF is Austria´s most significant national research event to present the accomplishments to the broad public. ITEC was represented by three stations and involved in the station of Computer Games and Engineering, and it was a fantastic experience for everyone! We tried to make our research easily understandable for everyone.

 

Prof. Radu Prodan

Radu Prodan talks about “Democratic Trustworthy News in the Social Continuum: the ARTICONF Appeoach” Live streaming at the Digital Day in Messina.

The Horizon Cloud Summit 2022 – in its third edition – aims to gather innovators and researchers, Cloud adopters, policymakers, and Cloud initiatives and open source projects to shape the EU digital transition.

Radu Prodan held a presentation about the Articonf project on May 11, 2022.

1st International Workshop on Edge Network Softwarization (ENS 2022) co-located with IEEE International Conference on Network Softwarization (NetSoft 2022)  Milan, Italy

Authors: Josef Hammer and Hermann Hellwagner, Alpen-Adria-Universität Klagenfurt

Abstract: Multi-access Edge Computing (MEC) is a central piece of 5G telecommunication systems and is essential to satisfy the challenging low-latency demands of future applications. MEC provides a cloud computing platform at the edge of the radio access network that developers can utilize for their applications. In [1] we argued that edge computing should be transparent to clients and introduced a solution to that end. This paper presents how to efficiently implement such a transparent approach, leveraging Software-Defined Networking. For high performance and scalability, our architecture focuses on three aspects: (i) a modular architecture that can easily be distributed onto multiple switches/controllers, (ii) multiple filter stages to avoid screening traffic not intended for the edge, and (iii) several strategies to keep the number of flows low to make the best use of the precious flow table memory in hardware switches. A performance evaluation is shown, with results from a real edge/fog testbed.

Keywords: 5G, Multi-Access Edge Computing, MEC, Patricia Trie, SDN, Software-Defined Networking

Hadi

Title: Video Complexity Dataset (VCD)

The 13th ACM Multimedia Systems Conference (ACM MMSys 2022) Open Dataset and Software (ODS) track

June 14–17, 2022 |  Athlone, Ireland

Authors: Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Vignesh V Menon (Alpen-Adria-Universität Klagenfurt), Samira Afzal (Alpen-Adria-Universität Klagenfurt), Mohammad Ghanbari (School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK), and Christian Timmerer (Alpen-Adria-Universität Klagenfurt).

Abstract: This paper provides an overview of the open Video Complexity Dataset (VCD) which comprises 500 Ultra High Definition (UHD) resolution test video sequences. These sequences are provided at 24 frames per second (fps) and stored online in losslessly encoded 8-bit 4:2:0 format. In this paper, all sequences are characterized by spatial and temporal complexities, rate-distortion complexity, and encoding complexity with the x264 AVC/H.264 and x265 HEVC/H.265 video encoders. The dataset is tailor-made for cutting-edge multimedia applications such as video streaming, two-pass encoding, per-title encoding, scene-cut detection, etc. Evaluations show that the dataset includes diversity in video complexities. Hence, using this dataset is recommended for training and testing video coding applications. All data have been made publicly available as part of the dataset, which can be used for various applications.
The details of VCD can be accessed online at https://vcd.itec.aau.at.

Optimizing QoE in Live Streaming over Wireless Networks using Machine Learning Techniques

May 25, 2022, Edinburgh, UK

Empowered by today’s rich tools for media generation and collaborative production and the convenient wireless access (e.g., WiFi and cellular networks) to the Internet, crowdsourced live streaming over wireless networks have become very popular. However, crowdsourced wireless live streaming presents unique video delivery challenges that make a difficult tradeoff among three core factors: bandwidth, computation/storage, and latency. However, [read more]

 

 

 

 

 

CoPaM: Cost-aware VM Placement and Migration for Mobile services in Multi-Cloudlet environment: An SDN-based approach

Elsevier Computer Communications journal 

 

Shirzad Shahryari (Ferdowsi University of Mashhad, Mashhad, Iran), Farzad Tashtarian  (Alpen-Adria-Universität Klagenfurt), Seyed-Amin Hosseini-Seno (Ferdowsi University of Mashhad, Mashhad, Iran).

Abstract: Edge Cloud Computing (ECC) is a new approach for bringing Mobile Cloud Computing (MCC) services closer to mobile users in order to facilitate the complicated application execution on resource-constrained mobile devices. The main objective of the ECC solution with the cloudlet approach is mitigating the latency and augmenting the available bandwidth. This is basically done by deploying servers (a.k.a ”cloudlets”) close to the user’s device on the edge of the cellular network. Once the user requests mount, the resource constraints in a cloudlet will lead to resource shortages. This challenge, however, can be overcome using a network of cloudlets for sharing their resources. On the other hand, when considering the users’ mobility along with the limited resource of the cloudlets serving them, the user-cloudlet communication may need to go through multiple hops, which may seriously affect the communication delay between them and the quality of services (QoS).