Self-Adaptive System

Self-Adaptive System

 

an automatic control system that preserves its operational capability under conditions of unforeseen change in the properties of the controlled system, in the control goal, or in the environment by changing its operation algorithm or searching for optimal states. All living organisms have a highly developed capacity for adaptation (seeADAPTATION). Many present-day automatic control systems also have certain adaptation and self-optimization capabilities. Depending on the methods of adaptation used, self-adaptive systems are classified as self-aligning, self-learning, and self-or-ganizing systems. As of 1975, self-aligning systems were the most widely used.

References in periodicals archive ?
Boufaida, "Using variability modelling and design patterns for self-adaptive system engineering: Application to smart-home," Int.
To assess the accuracy of our TIP approach into the domain of runtime testing for self-adaptive software systems, the experiment should be performed on other self-adaptive system (i.e., different application domain).
To overcome this problem, we need to develop a self-adaptive system for industrial embedded product testing.
Lightening the task of self-adaptive system designers and reducing the development cost and time to market represent a major challenge in the field.
Thus, according to our reference model, a self-adaptive system is designed as a collection of cooperating control objective managers, adaptation control loops, and context manager control loops to control the adaptation process.
There are two main functions of a self-adaptive system, which must be taken into consideration when developing the framework, which are; the capability to determine 'what' changes are taking place and "how' to take the necessary corrective action.
Hence, it is necessary to define mechanisms for providing a self-adaptive system the capability of generating during run-time the process that controls its adaptation.
of mobile or cloud-computing contexts), has propelled an interest towards self-adaptive systems that dynamically reorganise system resources to optimise for a given goal (e.g., performance, energy, reliability, resource utilisation).
From structural health monitoring based on multiagent technology to music-inspired self-adaptive systems, this broad volume provides an overview of some of the latest works in information technology.
From those different names (self-healing, self-managed systems, etc.) we have selected two which are among the most popular, namely autonomic and self-adaptive systems, for the title of this special issue.
Manifesting the impact of machine learning is a familiar challenge for self-adaptive systems (Berry et al.
In one such session, four emerging technology papers explore a pervasive computing framework for modeling complex virtually-unbounded systems, a novel hardware architecture for self-adaptive systems, the Perplexus reconfigurable circuit, and a multi-agent approach to distributed autonomous explorations.

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