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Talks and Poster Presentations (with Proceedings-Entry):

M. Aslanpour, A. Toosi, C. Cicconetti, B. Javadi, P. Sbarski, D. Taibi, M. Assuncao, S. Gill, R. Gaire, S. Dustdar:
"Serverless Edge Computing: Vision and Challenges (Best Paper Award)";
Talk: 19th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2021) in conjunction with ACSW 2021 - Online Conference, Dunedin, New Zealand; 2021-02-01 - 2021-02-05; in: "Proceedings of the Australasian Computer Science Week Multiconference 2021 (ACSW 2021)", N. Stanger, B. Woodford, M. Winikoff, D. Eyers, V. Joachim, D. da Costa, A. Trotman (ed.); ACM, (2021), ISBN: 978-1-4503-8956-3; 10:1 - 10:10.



English abstract:
Born from a need for a pure "pay-per-use" model and highly scalable platform, the "Serverless" paradigm emerged and has the potential to become a dominant way of building cloud applications. Although it was originally designed for cloud environments, Serverless is finding its position in the Edge Computing landscape, aiming to bring computational resources closer to the data source. That is, Serverless is crossing cloud borders to assess its merits in Edge computing, whose principal partner will be the Internet of Things (IoT) applications. This move sounds promising as Serverless brings particular benefits such as eliminating always-on services causing high electricity usage, for instance. However, the community is still hesitant to uptake Serverless Edge Computing because of the cloud-driven design of current Serverless platforms, and distinctive characteristics of edge landscape and IoT applications. In this paper, we evaluate both sides to shed light on the Serverless new territory. Our in-depth analysis promotes a broad vision for bringing Serverless to the Edge Computing. It also issues major challenges for Serverless to be met before entering Edge computing.


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/3437378.3444367


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