System and network security are vital parts of any autonomic computing solution. The ability of a system to react consistently and correctly to situations ranging from benign but unusual events to outright attacks is key to the achievement of the goals of self-protection, self-healing, and self-optimization. Because they are often built around the interconnection of elements from different admi...

This chapter explores ways in which rigorous mathematical techniques termed formal methods can be employed to improve the predictability and dependability of autonomic computing. Model checking, formal specification and quantitative verification are presented in the contexts of conflict detection in autonomic computing policies, and of implementation of goal and utilityfunction policies in auto...

Emerging distributed computing scenarios call for novel “autonomic” approaches to distributed systems development and management. In this position paper we analyze the distinguishing characteristics of those scenarios, discuss the inadequacy of traditional paradigms, and elaborate on primary role of “space” in modern distributed computing. In particular, we show that spatial abstractions promis...

Many strategies have been proposed to address the problems associated with managing increasingly complex computing systems. IBM’s Autonomic Computing (AC) paradigm is one such strategy that seeks to alleviate system administrators of many of the burdensome tasks associated with manually managing highly complex systems. Researchers have been heavily investigating many areas of AC systems but the...

Cloud computing is a newly emerged computing infrastructure that builds on the latest achievements of diverse research areas, such as Grid computing, Service-oriented computing, business process management and virtualization. An important characteristic of Cloud-based services is the provision of non-functional guarantees in the form of Service Level Agreements (SLAs), such as guarantees on exe...

Over the coming years, many are anticipating grid computing infrastructure, utilities and services to become an integral part of future socioeconomical fabric. Though, the realisation of such a vision will be very much affected by a host of factors including; cost of access, reliability, dependability and security of grid services. In earnest, autonomic computing model of systems’ self-adaptati...

The conceptual architecture of autonomic communications requires a knowledge layer to facilitate effective, transparent and high level selfmanagement capabilities. This pervasive knowledge plane can utilise the behaviour of autonomic communication regimes to monitor and intervene at many differing levels of network granularity. This paper discusses autonomic computing and autonomic communicatio...

This paper presents the Living Systems R ©Technology Suite, LS/TS, a middleware based on autonomous software agents and autonomic computing principles. Specifically, the paper describes the autonomic principles built into LS/TS, and the features that follow from them. These features are described within the context of a general taxonomy of autonomic systems, elaborating on the relationship betw...

To overcome the rising complexity of computing systems, the paradigms of Autonomic Computing and Organic Computing have been introduced. By using an observer/controller architecture, Organic Computing aims to make embedded systems more life-like by providing them with so-called Self-X properties. Embedded real-time systems can also gain great benefit from these techniques. In this paper, we sho...