X-Leep: Leveraging Cross-Layer Pacing for Energy-Efficient Edge Systems

Reif S, Herzog B, Pereira PG, Schmidt A, Büttner T, Hönig T, Schröder-Preikschat W, Herfet T (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Association for Computing Machinery, Inc

Pages Range: 548-553

Conference Proceedings Title: e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems

Event location: Virtual AU

ISBN: 9781450380096

DOI: 10.1145/3396851.3402924

Abstract

Edge systems enable large numbers of embedded nodes to communicate in order to cooperate towards achieving a shared goal. However, such systems operate under both timeliness and energy-efficiency constraints. This paper proposes X-Leep, a run-time system that detects the pace of the system, supporting Internet-of-Things and Edge scenarios. X-Leep adapts the local processing speed accordingly, considering time-related and energy-related constraints. Our evaluation shows that X-Leep increases energy efficiency compared to state of the art with only a minor effect on the quality of service.

Authors with CRIS profile

Stefan Reif Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Benedict Herzog Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Timo Hönig Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Wolfgang Schröder-Preikschat Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme)

Involved external institutions

Universität des Saarlandes (UdS) DE Germany (DE)

How to cite

APA:

Reif, S., Herzog, B., Pereira, P.G., Schmidt, A., Büttner, T., Hönig, T.,... Herfet, T. (2020). X-Leep: Leveraging Cross-Layer Pacing for Energy-Efficient Edge Systems. In e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems (pp. 548-553). Virtual, AU: Association for Computing Machinery, Inc.

MLA:

Reif, Stefan, et al. "X-Leep: Leveraging Cross-Layer Pacing for Energy-Efficient Edge Systems." Proceedings of the 11th ACM International Conference on Future Energy Systems, e-Energy 2020, Virtual Association for Computing Machinery, Inc, 2020. 548-553.

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