Talks and Poster Presentations (with Proceedings-Entry):
S. Dustdar, I. Murturi:
"Towards Distributed Edge-based Systems";
Talk: IEEE 2nd International Conference on Cognitive Machine Intelligence (CogMI 2020) - Online Conference,
Atlanta, Georgia, USA;
2020-12-01
- 2020-12-03; in: "Proceedings of the IEEE 2nd International Conference on Cognitive Machine Intelligence (CogMI 2020)",
IEEE,
(2020),
ISBN: 978-1-7281-4145-9;
92
- 100.
English abstract:
In the past few years, researchers from academia and industry stakeholders suggest adding more computational resources (i.e., storage, networking, and processing) closer to the end-users and IoT domain, respectively, at the edge of the network. Such computation entities perceived as edge devices aim to overcome high-latency issues between the cloud and the IoT domain. Thus, processing IoT data streams closer to the end-users and IoT domain can solve several operational challenges. Since then, a plethora of application-specific IoT systems are introduced, mainly hard-coded, inflexible, and limited extensibility for future changes. Additionally, most IoT systems maintain a centralized design to operate without considering the dynamic nature of edge networks. In this paper, we discuss some of the research issues, challenges, and potential solutions to enable: i) deploying edge functions on edge resources in a distributed manner and ii) deploying and scaling edge applications on-premises of Edge-Cloud infrastructure. Additionally, we discuss in detail the three-tier Edge-Cloud architecture. Finally, we introduce a conceptual framework that aims to enable easy configuration and deployment of edge-based systems on top of heterogeneous edge infrastructure and present our vision within a smart city scenario.
Keywords:
Edge-Cloud Continuum, Edge-based Systems, Distributed Edge Function
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/CogMI50398.2020.00021
Related Projects:
Project Head Schahram Dustdar:
FogProtect
Created from the Publication Database of the Vienna University of Technology.