Future “on-demand” computing systems, often depicted as potentially large scale and complex Service-Oriented Architectures, will need innovative management approaches for controlling and matching services demand and supply. Centralized optimization approaches reach their bounds with increasing network size and number of nodes. The search for decentralized approaches has led to build on self-org...

This paper is proposed a security plan for Smart Grid Systems based on AGC4ISR which is an architecture for Autonomic Grid Computing Systems. Smart Grid incorporates has many benefits of distributed computing and communications to deliver a real-time information and enable the near-instantaneous balance of supply and demand at the device level. AGC4ISR architecture is Organized by Autonomic Gri...

Autonomic Computing is an emerging computing paradigm used to create computer systems capable of self-management in order to overcome the rapidly growing complexity of computing systems management. To possess self-* properties, there must be mechanisms to support self-awareness, that is an autonomic system should be able to perceive the abnormality of its components. After abnormality is checke...

Autonomic Computing (AC), a self-managing systems initiative based on the biological metaphor of the autonomic nervous system, is increasingly gaining momentum as the way forward in designing reliable systems. Agent technologies have been identiiied as a key enabler for engineering autonomicity in systems, both in terms of retrofitting autonomicity into legacy systems and designing new systems....

This paper proposes and presents an autonomic Web Service Resource Framework (WSRF) container that enables self-configuration using IBM’s autonomic computing (AC) architecture and resolves resource bottlenecks by service migration. The migration manager bases its migration policy decision on an overall health status metric (H-metric) of service containers. This light-weight migration protocol p...

Ambient intelligence envisages a world saturated with sensors and other embedded computing technologies, operating transparently, and accessible to all in a seamless and intuitive manner. Intelligent agents of varying capabilities may well form the essential constituent entities around which this vision is realized, However, the practical realization of this vision will severely exacerbate the ...

Autonomic Computing aims at realizing computing systems that are able to adapt themselves, but the engineering of such systems in the large is rather a challenging task. It is hard to find an appropriate model that controls the adaptation itself and several loops are likely to be coordinated to avoid unexpected and harmful behaviors. This paper presents an approach and a runtime support to arch...

Autonomic Computing is an emerging computing paradigm used to create computer systems capable of self-management in order to overcome the rapidly growing complexity of computing systems management. To possess self-* properties, there must be mechanisms to support self-awareness, that is an autonomic system should be able to perceive the abnormality of its components. After abnormality is checke...

Autonomic Computing is an emerging computing paradigm used to create computer systems capable of self-management in order to overcome the rapidly growing complexity of computing systems management. To possess self-* properties, there must be mechanisms to support self-awareness, that is an autonomic system should be able to perceive the abnormality of its components. After abnormality is checke...

Autonomic computing networks manage multiple tasks over a distributed network of resources. In this paper, we view an autonomic computing system as a network of queues, where classes of jobs/tasks are stored awaiting execution. At each point in time, local resources are allocated according to the backlog of waiting jobs. Service modes are selected corresponding to feasible configurations of com...