Using reference attribute grammar-controlled rewriting for runtime resource management
(2016) 1st International Workshop on REsource Awareness and Application Auto-Tuning in Adaptive and HeterogeNeous CompuTing 1643. p.13-17- Abstract
To make distributed systems resource aware and adaptive, they can be modeled as self-adaptive systems. Such systems have a view of their own state and context, which can be represented by a model that is continuously updated and analyzed at runtime. However, such analyses need to be concise and efficient to allow large models and high adaptation rates. To achieve this, we apply reference attribute grammar controlled rewriting to implement the runtime model of a distributed task-scheduling case study for energy optimization.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2bd8e705-3348-4f52-a865-a81d0f5aa471
- author
- Mey, Johannes ; Schöne, René ; Langner, Daniel and Bürger, Christoff LU
- organization
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- CEUR Workshop Proceedings
- volume
- 1643
- pages
- 5 pages
- publisher
- CEUR-WS
- conference name
- 1st International Workshop on REsource Awareness and Application Auto-Tuning in Adaptive and HeterogeNeous CompuTing
- conference location
- Dresden, Germany
- conference dates
- 2016-03-18
- external identifiers
-
- scopus:84985945946
- language
- English
- LU publication?
- yes
- id
- 2bd8e705-3348-4f52-a865-a81d0f5aa471
- date added to LUP
- 2017-02-24 09:02:24
- date last changed
- 2022-01-30 18:25:51
@inproceedings{2bd8e705-3348-4f52-a865-a81d0f5aa471, abstract = {{<p>To make distributed systems resource aware and adaptive, they can be modeled as self-adaptive systems. Such systems have a view of their own state and context, which can be represented by a model that is continuously updated and analyzed at runtime. However, such analyses need to be concise and efficient to allow large models and high adaptation rates. To achieve this, we apply reference attribute grammar controlled rewriting to implement the runtime model of a distributed task-scheduling case study for energy optimization.</p>}}, author = {{Mey, Johannes and Schöne, René and Langner, Daniel and Bürger, Christoff}}, booktitle = {{CEUR Workshop Proceedings}}, language = {{eng}}, pages = {{13--17}}, publisher = {{CEUR-WS}}, title = {{Using reference attribute grammar-controlled rewriting for runtime resource management}}, volume = {{1643}}, year = {{2016}}, }