The paper “A Container-driven Approach for Resource Provisioning in Edge-Fog Cloud” has been accepted for publication at the 5th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2019 to be held at Munich, Germany (September 9-13, 2019).
Authors: Hamid Mohammadi Fard, Radu Prodan and Felix Wolf
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
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.
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
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
Authors: Wen Ji, Zhu Li, H. Vincent Poor, Christian Timmerer, and Wenwu Zhu
Abstract: With the growing integration of telecommunication networks, Internet of Things (IoT), and 5G networks, there is a tremendous demand for multimedia services over heterogeneous networks. According to recent survey reports, mobile video traffic accounted for 60 percent of total mobile data traffic in 2016, and it will reach up to 78 percent by the end of 2021. Users’ daily lives are inundated with multimedia services, such as online video streaming (e.g., YouTube and Netflix), social networks (e.g., Facebook, Instagram, and Twitter), IoT and machine generated video (e.g, surveillance cameras), and multimedia service providers (e.g., Over-the-Top (OTT) services). Multimedia data is thus becoming the dominant traffic in the near future for both wired and wireless networks.
W. Ji, Z. Li, H. V. Poor, C. Timmerer and W. Zhu, “Guest Editorial Multimedia Economics for Future Networks: Theory, Methods, and Applications,” in IEEE Journal on Selected Areas in Communications, vol. 37, no. 7, pp. 1473-1477, July 2019.
doi: 10.1109/JSAC.2019.2918962
Authors: Abdelhak Bentaleb (National University of Singapore), Christian Timmerer (Alpen-Adria Universität & Bitmovin Inc,), Ali C. Begen(Ozyegin University), and Roger Zimmermann (National University of Singapore)
Abstract: HTTP adaptive streaming (HAS) with chunked transfer encoding can be used to reduce latency without sacrificing the coding ef- ficiency. While this allows a media segment to be generated and delivered at the same time, it also causes grossly inaccurate band- width measurements, leading to incorrect bitrate selections. To overcome this effect, we design a novel Adaptive bitrate scheme for Chunked Transfer Encoding (ACTE) that leverages the unique nature of chunk downloads. It uses a sliding window to accurately measure the available bandwidth and an online linear adaptive filter to predict the available bandwidth into the future. Results show that ACTE achieves 96% measurement accuracy, which translates to a 64% reduction in stalls and a 27% increase in video quality.
Links:
– Slides/PDF: https://multimediacommunication.blogspot.com/2019/04/acm-nossdav19-bandwidth-prediction-in.html
– DASH Industry Forum Excellence in DASH Award at ACM MMSys 2019: https://multimediacommunication.blogspot.com/2019/06/dash-if-awarded-excellence-in-dash.html
Paper Title: Alternative inputs for games and AR/VR applications: deep headbanging on the web
Abstract: In multimedia research, scientific progress is often slowed downby high demands on hard- and software. However, hardware con-tinuously improves and today’s hardware got powerful enoughto meet the performance demands of complex 3D and deep learn-ing applications. With this demo, we demonstrate that utilizingdeep learning and 3D modeling is not a major barrier anymorewhen building prototypes for showcasing research projects. Ourweb-based game, called “HeadbangZ”, showcases a novel gesture-based input methodology realized through deeply learned poseestimation and user interaction in a 3D environment. Since gesture-based inputs increase the immersion in virtual environments, weassume this input methodology to be especially useful for AR/VRapplications and games. Furthermore, we demonstrate that rapidprototyping of applications using novel technologies, such as deeplearning, is even possible within 48 hours by developing a workingdemo within this time frame. Finally, we provide insights into whatwe learned during the development of HeadbangZ to encourageother researchers to make use of novel technologies. In referenceto Stephen Harper’s quote “Having hit a wall, the next logical stepis not to bang our heads against it.”, we hope that the presentationof HeadbangZ encourages researchers to bang their heads rhythmi-cally to rock music instead of angrily against a virtual wall createdby hard- and software limitations.
Authors: Philipp Moll, Andreas Leibetseder, Sabrina Kletz, Mathias Lux, Bernd Münzer (Institute of Information Technology, Alpen-Adria-Universität Klagenfurt)
More information on the paper can be found on: https://dl.acm.org/citation.cfm?id=3323832