Conference paper
Improving Energy Saving Techniques by Ambient Intelligence Scheduling
Energy saving is one of the most challenging aspects of modern ambient intelligence technologies, for both domestic and business usages. In this paper we show how to combine Ambient Intelligence and Artificial Intelligence techniques to solve the problem of scheduling a set of devices under a given set of constraints, like limits to the maximal energy usage (Energy Span) and maximal energy absorption (Energy Peak).
We provide a method that can be used to schedule the usage of devices in a given environment in a way that respects the input constraints. We adapt an existent approach to scheduling for Ambient Intelligence to a specific framework and exhibit a sample usage for a real life system, Elettra, that is in use in an industrial context.
Language: | English |
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Publisher: | IEEE |
Year: | 2015 |
Pages: | 324-331 |
Proceedings: | 29th IEEE International Conference on Advanced Information Networking and Applications (AINA 2015)Advanced Information Networking and Applications |
ISBN: | 147997904X , 147997904x , 1479979058 , 1479979066 , 9781479979042 , 9781479979059 and 9781479979066 |
ISSN: | 23325658 , 19767684 and 1550445x |
Types: | Conference paper |
DOI: | 10.1109/AINA.2015.202 |
Absorption Ambient intelligence Communication, Networking and Broadcast Technologies Computing and Processing Energy consumption Performance evaluation Plugs SDG 7 - Affordable and Clean Energy Servers Time factors
Elettra ambient intelligence ambient intelligence scheduling ambient intelligence technique artificial intelligence artificial intelligence technique business usage domestic usage energy peak energy span improving energy saving techniques input constraints maximal energy absorption maximal energy usage power aware computing scheduling