Autonomic Computing: ECAR-WG Technology Spotlight
- Published:
- Briefs, Case Studies, Papers, Reports
- Author(s) and Contributors:
-
Author(s): Karen Wetzel
- Source(s) and Collection(s):
-
Sources(s): EDUCAUSE Research Collection(s): EDUCAUSE Working Group Research Bulletins
- ParentTopics:
Abstract
Autonomic computing is a model of self-managing computing designed to function like the human body's autonomic nervous system. The goal of autonomic computing is systems that manage themselves, handling maintenance and upgrades without involvement from the user. The vision of autonomic computing is one that would allow us to use computers to track, manage, and anticipate our needs.
This bulletin is one of a series of papers from ECAR working groups designed to help institutional leaders learn about and understand the implications of emerging technologies in higher education. These technologies have been identified as the “Top 10 Confusing Technologies” in the ECAR report Higher Education’s Top 10 Strategic Technologies for 2015. Other papers and related resources are available at the research hub for Higher Education’s Top 10 Strategic Technologies for 2015.
Citation for this Work: Wetzel, Karen. Autonomic Computing: ECAR-WG Technology Spotlight. Research bulletin. Louisville, CO: ECAR, February 20, 2015. Available from http://www.educause.edu/ecar.
ECAR research helps you predict, plan for, and act on IT trends in higher education. Subscribe now.