Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
T. Rausch, W. Hummer, V. Muthusamy, A. Rashed, S. Dustdar:
"Towards a Serverless Platform for Edge AI";
Vortrag: 2nd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2019,
Renton, WA, USA;
09.07.2019; in: "2nd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2019",
I. Ahmad, S. Sundararaman (Hrg.);
USENIX Association,
(2019),
S. #1
- #7.
Kurzfassung englisch:
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.
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.