Talks and Poster Presentations (with Proceedings-Entry):

T. Rausch, W. Hummer, V. Muthusamy, A. Rashed, S. Dustdar:
"Towards a Serverless Platform for Edge AI";
Talk: 2nd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2019, Renton, WA, USA; 2019-07-09; in: "2nd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2019", I. Ahmad, S. Sundararaman (ed.); USENIX Association, (2019), #1 - #7.

English abstract:
This paper proposes a serverless platform for building and operating edge AI applications. We analyze edge AI use cases to illustrate the challenges in building and operating AI applications in edge cloud scenarios. By elevating concepts from AI lifecycle management into the established serverless model, we enable easy development of edge AI workflow functions. We take a deviceless approach, i.e., we treat edge resources transparently as cluster resources, but give developers fine-grained control over scheduling constraints. Furthermore, we demonstrate the limitations of current serverless function schedulers, and present the current state of our prototype.

Created from the Publication Database of the Vienna University of Technology.