Abstract
Software applications involving networks, in a broad sense of the term, are becoming more complex and are deployed on a growing number of devices. These applications can involve wireless sensor networks, smart grids, intelligent traffic light systems, and so on. Manually managing such networks is becoming increasingly difficult. To automate this management process, this paper introduces the initial design of the Marlon domain-specific language. Marlon is suited to specify the desired management policies that should be achieved. It can automatically apply these policies using machine learning techniques, effectively reducing the amount of effort needed to manage such systems.
Original language | English |
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Title of host publication | BElgian-NEtherlands software eVOLution symposium |
Pages | 39-43 |
Number of pages | 5 |
Volume | 2047 |
Edition | 16 |
ISBN (Electronic) | 1613-0073 |
Publication status | Published - 1 Jan 2017 |
Event | 16th BElgian-NEtherlands software eVOLution symposium - Antwerp, Belgium Duration: 4 Dec 2017 → … http://ansymore.uantwerpen.be/events/BENEVOL2017 |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | RWTH Aachen |
ISSN (Print) | 1613-0073 |
Workshop
Workshop | 16th BElgian-NEtherlands software eVOLution symposium |
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Abbreviated title | BENEVOL |
Country | Belgium |
City | Antwerp |
Period | 4/12/17 → … |
Internet address |
Keywords
- Languages
- Machine learning
- Multi-agent systems