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This paper describes a supervision system for autonomic distributed systems (e.g., a cloud computing environment). It is designed as a supplementary service and is structured as an ensemble of components that implement an autonomic control loop, which does not require any a priori knowledge on the structure of the supervised system. The architecture devised is highly modular and can be configured...
Self-supervision and self-adaptability are key requirements for future network and service platform. This paper presents a fully distributed approach to the supervision of autonomic systems. The proposed approach relies on the self-adaptation features of autonomic elements and their clustering through self-organization algorithms. Furthermore, it presents two use cases of the proposed approach on...
This paper addresses a business scenario based on so-called tradable micro-services which is intended to explain the dynamics of a market to which actors contribute both as consumers and providers of telecommunication and Web based services. We argue that a service evolution is possible with leads to services which are adapted to the needs and objectives of various virtual communities. Furthermore,...
Self-organisation and self-management are assumed to be complementary principles in the design of autonomic systems. We demonstrate by means of a simple example that self-organisation mechanisms are suitable for the autonomic formation of supervision infrastructures that supports the self-management of service providing configurations.
This work deals with the supervisory control of discrete event systems (DES). Supervisory control is classically applied to systems modeled by finite state machine (FSM). The results presented in this paper aim to extend the classical supervisory control theory in order to provide an efficient way to compute supervisors which control systems modeled by concurrent extended finite state machines (EFSM)...
One of the key motivations for the provisioning of autonomic communication features in next generation services is to reduce the need of human inference for management tasks. This however means essentially that system control is delegated to the system itself i.e. the system operator gives up control to a certain extent. The consequence is that autonomic systems might deviate from intended states...
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