Master data

Title: Unveiling the Potential of the Edge-Cloud Continuum: A Deep Dive into Video Streaming and Graph Processing Use Cases
Description:

Over the past few years, our society has witnessed a growing digitalization trend, with its procedures undergoing a progressive shift into digital manifestations. As an essential technology for digital society, graphs provide a universal abstraction to represent concepts and objects and the relationships between them. On the other hand, the advancement of networking paradigms and steadily increasing numbers of users who prefer to watch video content over the Internet rather than using classical TV have made video the predominant traffic on the Internet. Fog and edge computing expand the capabilities of high-performance cloud data centers by incorporating nodes in close proximity to the data sources located at the network’s edge. The edge-cloud continuum enables the creation of a new type of services spanning across distributed infrastructures. However, processing massive data in a representation of Graph or video sequences on the edge-cloud continuum raises numerous challenges concerning resource management, Quality of Experience (QoE), Quality of Service (QoS), performance, and sustainability metrics. This talk first presents the key concepts of two widely recognized applications, namely, video streaming and graph processing. It also outlines multiple critical challenges for processing these applications within the edge-cloud continuum. It finally introduces two innovative frameworks applied within each use case to address these concerns. 

Keywords:
Type: Invited speaker
Homepage: https://www.cerciras.org/action-events/raw-workshop/raw-2023/program/
Event: The 2nd International Workshop on Resource Awareness of Systems and Society (RAW 23) in conjunction with Euro-Par 2023 (Limassol)
Date: 28.08.2023
lecture status: stattgefunden (Präsenz)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Focus of lecture
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
Group of participants
  • Mainly international
Published?
  • No
Keynote speaker
  • No
working groups
  • Verteilte Systeme

Cooperations

No partner organisations selected