Towards Autonomic Computing: Effective Event Management

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 management. It considers the range of event handling techniques in use, particularly in relation to distributed systems. Intelligent approaches are illustrated using the example of event handling in telecommunication systems. In particular, the telecom survivable network architecture is analyzed to identify lessons and potential pitfalls for Autonomic Computing

Management and Service-aware Networking Architectures (MANA) for Future Internet Position Paper: System Functions, Capabilities and Requirements

Future Internet (FI) research and development threads have recently been gaining momentum all over the world and as such the international race to create a new generation Internet is in full swing: GENI, Asia Future Internet, Future Internet Forum Korea, European Union Future Internet Assembly (FIA). This is a position paper identifying the research orientation with a time horizon of 10 years, together with the key challenges for the capabilities in the Management and Service-aware Networking Architectures (MANA) part of the Future Internet (FI) allowing for parallel and federated Internet(s)

An Adaptive Approach to Self-Healing in an Intelligent Environment

Abstract — In this paper, we address the management of sensor faults in an intelligent environment. Our proposed approach aims to introduce self-healing as a method of fault management. This approach is based on the use of adaptive finite state machine automata which handle suspicious sensor behavior. These state machines communicate with a mobile robot which investigates the error states detected through the sensors in the environment in order to learn from the anomalies and adapt to the changes in sensor behaviors. Additionally, we have determined that two types of fault may arise: systemic faults which the system may learn from and adapt to, and random faults which the system may compensate for through the use of a mobile robot as a sensor substitute. Keywords-fault tolerance; self-healing; sensor substitution; intelligent environment. I