The success of mainstream computing is largely due to the widespread availability of general-purpose architectures and of generic approaches that can be used to solve real-world problems cost-effectively and across a broad range of application domains. In this chapter, we propose that a similar generic framework is used to make the development of autonomic solutions cost effective, and to estab...

The rapidly increasing complexity of computing systems is driving the movement towards autonomic systems that are capable of managing themselves without the need for human intervention. Without autonomic technologies, many conventional systems suffer reliability degradation and compromised security. Autonomic management techniques reverse this trend. This study describes the roles and functions...

The advent and proliferation of Service-oriented Architectures (SOA) drives computing infrastructures into a highly interconnected, heterogeneous, and dynamic world. Conventional management tools fail in the attempt to deal with the heterogeneity and the dynamics associated with this type of information infrastructures. More and more researchers try to cope with the complexity, heterogeneity, a...

The work reported in this paper is motivated by the fact that there is a need to apply autonomic computing concepts to parallel computing systems. Advancing on prior work based on intelligent cores [36], a swarm-array computing approach, this paper focuses on ‘Intelligent agents’ another swarm-array computing approach in which the task to be executed on a parallel computing core is considered a...

The work reported in this paper proposes Swarm-Array computing, a novel technique inspired by swarm robotics, and built on the foundations of autonomic and parallel computing. The approach aims to apply autonomic computing constructs to parallel computing systems and in effect achieve the self-ware objectives that describe self-managing systems. The constitution of swarm-array computing compris...

Autonomic computing is a grand challenge in computing. It aims to produce distributed software that has the properties of self-healing, selforganizing, self-protecting and self-optimizing. This paper focuses on the challenge of injecting only self-healing properties into existing programs that targets the Java Virtual Machine. The byte code is analyzed and additional code is injected to automat...

Nowadays, IT organizations have encountered growing challenges in the management and maintenance of large scale heterogeneous distributed computing systems because these systems attempt to be active and available at all hours. Moreover, current programming languages, methods, and management tools are inadequate to handle complexity, scale, dynamism, heterogeneity, and uncertainty as the most im...

Autonomic Computing is emerging as a significant new approach for the design of computing systems. Its goal is the production of systems that are self-managing, self-healing, self-protecting and self-optimizing. Achieving this goal will involve techniques from both Software Engineering and Artificial Intelligence. This paper discusses one particular aspect of Autonomic Computing: event manageme...

The main objective of this research is a rigorous investigation of an architectural approach for developing and evolving reactive autonomic (self-managing) systems, and for continuous monitoring of their quality. In this paper, we draw upon our research experience and the experience of other autonomic computing researchers to discuss the main aspects of Autonomic Systems Timed Reactive Model (A...