Autonomic Computing is a concept that brings together many fields of computing with the
purpose of creating computing systems that self-manage. In its early days it was criticised as …

As modern software-based systems and applications gain in versatility and functionality, the
ability to manage inconsistent resources and service disparate user requirements becomes …

While attractive in principle, architecture-based self-adaptation raises a number of research
and engineering challenges. First, the ability to handle a wide variety of systems must be …

Self-management is put forward as one of the means by which we could provide systems
that are scalable, support dynamic composition and rigorous analysis, and are flexible and …

Present large-scale information technology environments are complex, heterogeneous
compositions often affected by unpredictable behavior and poor manageability. This …

Requirements for high availability in computing systems today demand that systems be self-
adaptive to maintain expected qualities-of-service in the presence of system faults, variable …

In the world of autonomic computing, the ultimate aim is to automate human tasks in system
management to achieve high-level stakeholder objectives. One common approach is to …

Rainbow is a framework for engineering a system with run-time, self-adaptive capabilities to
monitor, detect, decide, and act on opportunities for system improvement. We applied …

Increasingly, systems must have the ability to self-adapt to meet changes in their execution
environment. Unfortunately, existing solutions require human oversight, or are limited in the …

Autonomous or semi-autonomous systems are deployed in environments where contact with
programmers or technicians is infrequent or undesirable. To operate reliably, such systems …