Open AccessEnergy efficient partition allocation in mixed-criticality systems
Author(s) -
Ana Guasque,
Patricia Balbastre,
Alfons Crespo,
Salva Peiró
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0213333
Subject(s) - partition (number theory) , computer science , criticality , scheduling (production processes) , energy consumption , mathematical optimization , energy (signal processing) , efficient energy use , distributed computing , parallel computing , mathematics , engineering , statistics , physics , combinatorics , nuclear physics , electrical engineering
This paper addresses the problem of energy management of mixed criticality applications in a multi-core partitioned architecture. Instead of focusing on new scheduling algorithms to adjust frequency in order to save energy, we propose a partition to CPU allocation that takes into account not only the different frequencies at which the CPU can operate but the level of criticality of the partitions. The goal is to provide a set of pre-calculated allocations, called profiles, so at run time the system can switch to different modes depending on the battery level. These profiles achieve different levels of energy saving and performance applying different strategies. We also present a comparison in terms of energy saving of the most used bin-packing algorithms for partition allocation. As this is an heuristic, it is not possible to ensure that our results involve the minimum energy consumption. For this reason, we also provide a comparison with a exact method, such as constraint programming.