Toward an Optimal Fixed-Priority Algorithm for Energy-Harvesting Real-Time Systems

Abstract : This paper addresses the real-time fixed-priority scheduling problem for battery-powered embedded systems whose energy storage unit is replenished by an environmental energy source. In this context, a scheduling policy should account for incoming energy, capacity of the battery and tasks cost of energy. Thus, classical fixed-priority schedulers are no longer suitable for this model. Some algorithms were proposed in precedent works to solve this problem, however, none of them has been proved optimal for concrete tasksets1 . Based on this motivation, we propose FPCasap a scheduling algorithm that handles both energy and timing constraints by predicting future possible failure. Such kind of algorithm is said to be clairvoyant. We expect this algorithm to be optimal.
Document type :
Conference papers
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00796646
Contributor : Damien Masson <>
Submitted on : Thursday, March 7, 2013 - 5:03:44 PM
Last modification on : Wednesday, July 4, 2018 - 4:37:57 PM
Long-term archiving on: Sunday, April 2, 2017 - 8:47:15 AM

File

wip.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00796646, version 1

Citation

Yasmina Abdeddaïm, Younès Chandarli, Damien Masson. Toward an Optimal Fixed-Priority Algorithm for Energy-Harvesting Real-Time Systems. RTAS 2013 WiP, Apr 2013, United States. pp.45--48. ⟨hal-00796646⟩

Share

Metrics

Record views

477

Files downloads

367