%0 Conference Proceedings %1 KoZhKeKw2015 %A Kounev, Samuel %B Dagstuhl Reports %C Dagstuhl, Germany %D 2015 %E Kounev, Samuel %E Zhu, Xiaoyun %E Kephart, Jeffrey O. %E Kwiatkowska, Marta %E Editor, Aleksandar Milenkoski Assistant %K Analytical_and_simulation-based_analysis Application-aware Automated_model_learning Design_of_software_and_systems Formal_architecture_modeling Metrics_and_benchmarking_methodologies Online_monitoring_and_forecasting Resource_management Self-adaptive-systems Self-aware-computing Statistical_estimation_and_machine_learning Survey descartes se2_book t_proceedings %T Model-driven Algorithms and Architectures for Self-Aware Computing Systems %U http://drops.dagstuhl.de/opus/volltexte/2015/5038/ %X This report documents the program and the outcomes of Dagstuhl Seminar 15041 "Model-driven Algorithms and Architectures for Self-Aware Computing Systems". The design of self-aware computing systems calls for an integrated interdisciplinary approach building on results from multiple areas of computer science and engineering, including software and systems engineering, systems modeling, simulation and analysis, autonomic and organic computing, machine learning and artificial intelligence, data center resource management, and so on. The Dagstuhl Seminar 15041 served as a platform to raise the awareness about the relevant research efforts in the respective research communities as well as existing synergies that can be exploited to advance the state-of-the-art, formulate a new research agenda that takes a broader view on the problem following an integrated and interdisciplinary approach, and establish collaborations between academia and industry.

@proceedings{KoZhKeKw2015, abstract = {{This report documents the program and the outcomes of Dagstuhl Seminar 15041 "Model-driven Algorithms and Architectures for Self-Aware Computing Systems". The design of self-aware computing systems calls for an integrated interdisciplinary approach building on results from multiple areas of computer science and engineering, including software and systems engineering, systems modeling, simulation and analysis, autonomic and organic computing, machine learning and artificial intelligence, data center resource management, and so on. The Dagstuhl Seminar 15041 served as a platform to raise the awareness about the relevant research efforts in the respective research communities as well as existing synergies that can be exploited to advance the state-of-the-art, formulate a new research agenda that takes a broader view on the problem following an integrated and interdisciplinary approach, and establish collaborations between academia and industry.}}, added-at = {2020-04-06T11:22:21.000+0200}, address = {Dagstuhl, Germany}, author = {Kounev, Samuel}, biburl = {https://www.bibsonomy.org/bibtex/286265ab7bc6e5be0604e5fc91dbaeee1/se-group}, editor = {Kounev, Samuel and Zhu, Xiaoyun and Kephart, Jeffrey O. and Kwiatkowska, Marta and Editor], Aleksandar Milenkoski [Assistant}, interhash = {f78112d0d21d4d7c3c3acd0809d53381}, intrahash = {86265ab7bc6e5be0604e5fc91dbaeee1}, keywords = {Analytical_and_simulation-based_analysis Application-aware Automated_model_learning Design_of_software_and_systems Formal_architecture_modeling Metrics_and_benchmarking_methodologies Online_monitoring_and_forecasting Resource_management Self-adaptive-systems Self-aware-computing Statistical_estimation_and_machine_learning Survey descartes se2_book t_proceedings}, month = {January}, series = {Dagstuhl Reports}, timestamp = {2021-08-17T11:01:37.000+0200}, title = {{Model-driven Algorithms and Architectures for Self-Aware Computing Systems}}, url = {http://drops.dagstuhl.de/opus/volltexte/2015/5038/}, year = 2015 }