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Journal ArticleDOI

The vision of autonomic computing

Jeffrey O. Kephart, +1 more
- 01 Jan 2003 - 
- Vol. 36, Iss: 1, pp 41-50
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TLDR
A 2001 IBM manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into corporate-wide computing systems that extend into the Internet.
Abstract
A 2001 IBM manifesto observed that a looming software complexity crisis -caused by applications and environments that number into the tens of millions of lines of code - threatened to halt progress in computing. The manifesto noted the almost impossible difficulty of managing current and planned computing systems, which require integrating several heterogeneous environments into corporate-wide computing systems that extend into the Internet. Autonomic computing, perhaps the most attractive approach to solving this problem, creates systems that can manage themselves when given high-level objectives from administrators. Systems manage themselves according to an administrator's goals. New components integrate as effortlessly as a new cell establishes itself in the human body. These ideas are not science fiction, but elements of the grand challenge to create self-managing computing systems.

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A hybrid cloud controller for vertical memory elasticity

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An adaptation framework enabling resource-efficient operation of software systems

TL;DR: This paper gives an overview about the current work on a framework which aims at operating component-based software systems more efficiently by executing architecture-level runtime adaptations based on current workload situations, called SLAstic.
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Towards Autonomic Fault Recovery in System-S

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Autonomic cache management in Information-Centric Networks

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TL;DR: This presentation complements an earlier foundational article, “The Anatomy of the Grid,” by describing how Grid mechanisms can implement a service-oriented architecture, explaining how Grid functionality can be incorporated into a Web services framework, and illustrating how the architecture can be applied within commercial computing as a basis for distributed system integration.
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