License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.5.1.164
URN: urn:nbn:de:0030-drops-50385
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/5038/
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Kounev, Samuel ; Zhu, Xiaoyun ; Kephart, Jeffrey O. ; Kwiatkowska, Marta
Weitere Beteiligte (Hrsg. etc.): Samuel Kounev and Xiaoyun Zhu and Jeffrey O. Kephart and Marta Kwiatkowska

Model-driven Algorithms and Architectures for Self-Aware Computing Systems (Dagstuhl Seminar 15041)

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dagrep_v005_i001_p164_s15041.pdf (1.0 MB)

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.

BibTeX - Entry

@Article{kounev_et_al:DR:2015:5038,
  author =	{Samuel Kounev and Xiaoyun Zhu and Jeffrey O. Kephart and Marta Kwiatkowska},
  title =	{{Model-driven Algorithms and Architectures for Self-Aware Computing Systems (Dagstuhl Seminar 15041)}},
  pages =	{164--196},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{5},
  number =	{1},
  editor =	{Samuel Kounev and Xiaoyun Zhu and Jeffrey O. Kephart and Marta Kwiatkowska},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/5038},
  URN =		{urn:nbn:de:0030-drops-50385},
  doi =		{10.4230/DagRep.5.1.164},
  annote =	{Keywords: autonomic systems, self-adaptive, self-managing, model-driven, architecture-based, systems management, machine learning, feedback-based design}
}

Keywords: autonomic systems, self-adaptive, self-managing, model-driven, architecture-based, systems management, machine learning, feedback-based design
Collection: Dagstuhl Reports, Volume 5, Issue 1
Issue Date: 2015
Date of publication: 18.05.2015

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