Real-Time Design Patterns: Robust Scalable Architecture for Real-Time Systems
Real-Time Design Patterns: Robust Scalable Architecture for Real-Time Systems
Adaptation and Learning in Automatic Systems
Adaptation and Learning in Automatic Systems
Hierarchical model-based autonomic control of software systems
DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
Online data migration for autonomic provisioning of databases in dynamic content web servers
CASCON '05 Proceedings of the 2005 conference of the Centre for Advanced Studies on Collaborative research
Service System Resource Management Based on a Tracked Layered Performance Model
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
A Two-Layered Management Architecture for Building Adaptive Real-Time Systems
SEUS '08 Proceedings of the 6th IFIP WG 10.2 international workshop on Software Technologies for Embedded and Ubiquitous Systems
Autonomic computing control of composed web services
Proceedings of the 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
Robustness and scalability: a dual challenge for autonomic architectures
Proceedings of the Fourth European Conference on Software Architecture: Companion Volume
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Autonomic computing aims to embed automation in IT management software such that it can adapt to changes in the configuration, provisioning, protection, and resource utilization variations of the IT infrastructure at run time. It is, therefore, almost natural to consider this control software framework as being designed with control principles in mind. One of the research trends considers autonomic computing as a control system that resolves constraints related to the optimal usage of resources based on external requests made by users or processes in a reactive way. In this paper, a real-time reference architecture is introduced in which components implementing functions of real-time system elements or blocks such as transducers, controllers, and actuators are designed. The architecture of the autonomic computing software also contains components that implement functionalities specific to real-time systems. The transducers, controllers, and actuators are thus connected via real-time pattern components such as concurrency, priority, and reliability patterns.