Talks and Poster Presentations (with Proceedings-Entry):
O. Skarlat, M. Nardelli, S. Schulte, S. Dustdar:
"Towards QoS-Aware Fog Service Placement";
Talk: IEEE 1st International Conference on Fog and Edge Computing (ICFEC 2017),
2017-05-14; in: "Proceedings of the IEEE 1st International Conference on Fog and Edge Computing (ICFEC 2017)",
Fog computing provides a decentralized approach to data processing and resource provisioning in the Internet of Things (IoT). Particular challenges of adopting fog-based computational resources are the adherence to geographical distribution of IoT data sources, the delay sensitivity of IoT services, and the potentially very large amounts of data emitted and consumed by IoT devices. Despite existing foundations, research on fog computing is still at its very beginning. A major research question is how to exploit the ubiquitous presence of small and cheap computing devices at the edge of the network in order to successfully execute IoT services. Therefore, in this paper, we study the placement of IoT services on fog resources, taking into account their QoS requirements. We show that our optimization model prevents QoS violations and leads to 35% less cost of execution if compared to a purely cloud-based approach.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Project Head Stefan Schulte:
Cloud-based Rapid Elastic MAnufacturing
Created from the Publication Database of the Vienna University of Technology.