Autonomic Computing: the natural fusion of Soft Computing and Hard Computing

Abstract- Autonomic Computing is emerging as a significant new approach in the design of computing systems. Its overall goal is the creation of Self-Managing Systems. In order to achieve this, Hard and So3 Computing are required. The benefits from utilizing Soy Computing include their ability to handle imprecision, uncertainty and partial truth that is inherently present in any complex real world problem accompanied by the practicable benefits of Hard Computing namely the stability of highly predictable solutions and typically low computational burden. This paper motivates the proposition that the successful creation of Autonomic Systems requires a fusion of Soj? Computing and Hard Computing

Pulse Monitoring: Extending the Health-check for the Autonomic GRID

This paper upon looking at the Autonomic Computing architecture and Grid Computing highlights the importance of health check mechanisms to achieve a reflex-healing duel strategy. This will provide new design options for the development of the Autonomic Grid. The resulting pulse monitor is based on extending the existing Grid heart-beat monitor with urgency or anxiety levels such as that used in the NASA beacon monitor. The paper concludes with a discussion that this health check mechanism may be utilized in the future to achieve the necessary sense of urgency within a system for affect and emotion intelligence

Autonomic Computing

Autonomic computing (AC) has as its vision the creation of self-managing systems to address today’s con-cerns of complexity and total cost of ownership while meeting tomorrow’s needs for pervasive and ubiquitous computation and communication. This paper reports on the latest auto-nomic systems research and technologies to influence the industry; it looks behind AC, summarising what it is, the current state-of-the-art research, related work and initiatives, highlights research and technology transfer issues and concludes with further and recommended reading

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

Discovering Rules for Fault Management

. At the heart of the Internet revolution is global telecommunication systems. These systems initially designed for voice traffic provide the vast backbone bandwidth capabilities necessary for Internet traffic. They have builtin redundancy and complexity to ensure robustness and quality of service. To facilitate this, this requires complex fault identification and management systems. Fault identification and management is generally handled by reducing the amount of alarm events (symptoms) presented to the operating engineer through monitoring, filtering and masking. The ultimate goal is to determine and present the actual underlying fault. While en-route to automated fault identification it is useful to derive rules and techniques to attempt to present less symptoms with greater diagnostic assistance. With these objectives in mind computerassisted human discovery and human-assisted computer discovery techniques are discussed.

Towards an Autonomic Computing Environment

Autonomic Computing is a promising new concept in system development. It aims to (i) increase reliability by designing systems to be self-protecting and self-healing; and (ii) increase autonomy and performance by enabling systems to adapt to changing circumstances, using self-configuring and self-optimizing mechanisms. This paper discusses the type of system architecture needed to support such objectives

Autonomic Computing-a Means of Achieving Dependability?

Autonomic Computing is emerging as a significant new approach to the design of computing systems. Its goal is the development of systems that are selfconfiguring, self-healing, self-protecting and selfoptimizing. Dependability is a long-standing desirable property of all computer-based systems. The purpose of this paper is to consider how Autonomic Computing can provide a framework for dependability