The more systems are becoming to be controlled by computing devices. Cyber-Physical Systems (CPS) are expected to be an alternative to the traditional control systems. However, there are several problems to adopt CPS since they cannot adapt to changes in environment and system failures. Autonomic computing concept is widely applied to enable systems to adapt changes at runtime. In this paper we...

Autonomic computing is a computing system that can manage itself by self-configuration, self-healing, self-optimizing and self-protection. Researchers have been emphasizing the strong role that multi agent systems can play progressively towards the design and implementation of complex autonomic systems. The important of autonomic computing is to create computing systems capable of managing them...

Although the goal of autonomic computing is to make systems that work continuously, robustly, and simply, no one imagines that people can be excluded entirely. Whether it is end users getting their jobs done by interacting with autonomic systems or system administrators maintaining, monitoring, and debugging large-scale systems with autonomic components, humans will always be part of the comput...

Today’s systems are becoming more and more complex, i.e. distributed, situated, open, and dynamic. Autonomic computing aims to deal with the complexity autonomously. Hence, distributed autonomic computing systems tend to consist out of autonomous entities because of the increased distribution. This increased complexity and autonomy makes it difficult to build systems with a global coherent beha...

Autonomic computing promises improvements of systems quality of service in terms of availability, reliability, performance, security, etc. However, little research and experimental results have so far demonstrated this assertion, nor provided proof of the return on investment stemming from the efforts that introducing autonomic features requires. Existing works in the area of benchmarking of au...

The theme of this issue of IJCINI is on Theories and Paradigms of Autonomic Computing. This editorial addresses key notions of this issue on the theoretical framework of autonomic computing as well as implementation and application paradigms of autonomic computing. It presents the structure and coverage of this issue, and highlights the latest advances in cognitive informatics in general and in...

The purpose of this paper is to present evolutionary computing (EC) and to identify a number of issues where EC and autonomic computing, a.k.a. self-*, are mutually relevant for each other. We show that Evolutionary Algorithms (EA) form a metaheuristic that can be used to tackle the problem of self-optimisation in autonomic systems and suggest that an evolutionary approach can also help solving...

Ever increasing complexity, higher demand for proactiveness, and high speeds of innovation resulting from heavy competition, demand the adoption of more intelligent systems, which are capable of producing optimal results, in all fields. B2C E-Commerce applications are no different. The major challenge in transitioning a brick and mortar business to an online environment is to provide the same u...

In the practice of autonomic computing, utility functions have been applied for achieving self-optimization in autonomic computing systems. Utility functions are suggested to guide an autonomic computing system to optimize its own behavior in accordance with high-level objectives specified by the system administrators. In this paper, we present two concrete examples to illustrate how utility fu...

In this paper, we propose a component-oriented framework that can support autonomic computing and in particular bio-inspired approaches. Starting from the Grid Component Model, a component model targeting at Grid computing and already featuring some autonomicity, we show how such a model can be used in a general autonomic computing context. Indeed the model provides hierarchical structure and r...