Autonomic Computing: IBM's Perspective on the State of Information Technology
By P. Horn. 2001
1,110 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/100bcbb36e959c738958d4c9adde558d0277432c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Mazeiar Salehie
- Markus C. Huebscher
- Ladan Tahvildari
- Julie Ann McCann
- Steve R. White
- Gregory W. Vogl
- James E. Hanson
- Ian Whalley
Citations in the corpus
- A survey of online failure prediction methods (2010, background): “… architectures and paradigms, they set off in search for new concepts, as can be seen from initiatives and research efforts on autonomic computing [Horn 2001], trustworthy computing [Mundie et al. 2002], adaptive enterprise [Coleman and Thompson 2005], recovery-oriented computing [Brown…”
- The dawning of the autonomic computing era (2003, background): “Dealing with it is the single most important challenge facing the I/T industry.(1)”
- An artificial intelligence perspective on autonomic computing policies (2004, background): “This vision of self-managing systems is sometimes referred to as autonomic computing[2].”
- An architectural approach to autonomic computing (2004, background): “The architecture that we outline describes interfaces and behavioral requirements for individual system components, describes how interactions among components are established, and recommends design patterns that engender the desired system-level properties of selfconfiguration, self-optimization,…”
- A review of diagnostic and prognostic capabilities and best practices for manufacturing (2016, background): “Such a vision for EISs is in the spirit of that for autonomic computing presented by Paul Horn, a former Senior Vice President and Director of Research at IBMCorporation (Horn 2001).”
- A survey of autonomic computing—degrees, models, and applications (2008, background): “In their manifesto [Horn 2001], complex computing systems are compared to the human body, which is a complex system, but has an autonomic nervous system that takes care of most bodily functions, thus removing from our consciousness the task of coordinating all our bodily functions.”
- Self-adaptive software: Landscape and research challenges (2009, methodology): “Making/Achieving Adaptation: Generally speaking, self-adaptivity can be introduced into software systems using two strategies [Horn 2001].”
- Autonomic Computing: An Overview (2004, unknown): “‘Sensing’, ‘Analyzing’, ‘Planning’, ‘Knowledge’ and ‘Execution’ are in fact the keywords used to identify an autonomic system [7, 3].”
- A Survey on Intent-Based Networking (2023, background): “IBM was the first to propose a groundbreaking vision of the autonomic aspect of computing systems [21].”