X-Leep: Leveraging cross-layer pacing for energy-efficient edge systems
Publication by
Stefan Reif,
Benedict Herzog,
Pablo Gil Pereira,
Andreas Schmidt,
Tobias Büttner,
Timo Hönig,
Wolfgang Schröder-Preikschat,
Thorsten Herfet
Related to the Energy-, Latency- And Resilience-aware Networking (e.LARN) project
Published in Proceedings of the Eleventh ACM International Conference on Future Energy Systems, 2020
Related to the Energy-, Latency- And Resilience-aware Networking (e.LARN) project
Published in Proceedings of the Eleventh ACM International Conference on Future Energy Systems, 2020
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.