Multi-domain fault management architecture based on a shared ontology-based knowledge plane.
ABSTRACT Nowadays the number of services whose functionalities need to adapt across heterogeneous networks with different technological and administrative domains has substantially increased. Each domain involves different management procedures; therefore the comprehensive management of multi-domain services presents serious problems. This paper is focused in fault management aspects and presents a novel management architecture for multi-domain environments. The architecture is based on a distributed set of agents, using semantic techniques. A Shared Knowledge Plane has been implemented to ensure communication between agents.
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ABSTRACT: For future network scenarios to exhibit autonomic behaviour, both networks and application components and services need to be aware of their computational and environmental context, and must tune their activities accordingly. In this position paper, we propose an abstract architecture for knowledge networks that addresses the key issues of how both physical contextual knowledge and social knowledge from the users of communication networks can be used to form a knowledge space in support of autonomic agents dealing with network elements and applications. We discuss that the availability of raw contextual data is not enough to achieve meaningful autonomic behaviours. Rather, contextual information should be properly organised into 'networks of knowledge', to be exploited by both network and application components as the basic 'nervous system' in which situational stimuli reify into digital knowledge, and by means of which components can properly orchestrate their activities in a globally meaningful way. Here we firstly discuss the fundamental role of knowledge networks, and try to sketch what actual form and position such knowledge networks could assume. Then, we analyse some simple scenarios of use, showing how it is possible for the components of an autonomic communication system to build such knowledge networks autonomously; and, at the same time, to exploit them for orchestrating their activities in a type of stigmergy-based knowledge-rich system. Eventually, we sketch a rough research agenda and discuss the relations with other research areas.
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ABSTRACT: Distributed host-based anomaly detection has not yet proven practical due to the excessive computational overhead during training and detection. This paper considers an efficient algorithm for detecting resource anomalies in event streams with either Poisson or long tailed arrival processes. A form of distributed, lazy evaluation is presented, which uses a model for human–computer interaction based on two-dimensional time and a geometrically declining memory to yield orders of magnitude improvements in memory requirements. A three-tiered probabilistic method of classifying anomalous behaviour is discussed. This leads to a computationally and memory economic means of finding probable faults amongst the symptoms of network and system behaviour.Science of Computer Programming. 01/2006;
Conference Proceeding: A knowledge plane for the internet.[show abstract] [hide abstract]
ABSTRACT: One of the Internet's greatest strengths is that it does not know or care what its applications are or what they are doing: it simply forwards data. Yet network users experience the network through the functioning and performance of applications. This divergence of perspective leads to a number of problems. For example, a user whose local DNS service has failed may perceive the network as broken, even though from a network perspective, data continues to flow correctly. If an email server or a Web server fails, the user will say the network is broken; the network operator will say the network is fine. We need a way to make the network more aware of itself and its applications, without destroying the open and transparent data plane. To meet this need we propose the creation of an Internet knowledge plane. The knowledge plane is a distributed and decentralized construct within the network that gathers, aggregates, and manages information about network behavior and operation, and provides an integrated view to all parties (operators, users, and the network itself). The goal is to enlarge our view of what constitutes the network to match the intuition of a user, and to enhance our ability to manage the network intelligently, without disturbing the open and unknowing forwarding plane. The knowledge plane is intelligent: it can reason about the network's behavior and act upon the results of its reasoning. It can remember and learn from past behavior. To achieve that goal, we propose to adapt and employ recent work in cognition such as the separation of algorithm, policy and goals, and new models for knowledge representation.Proceedings of the ACM SIGCOMM 2003 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, August 25-29, 2003, Karlsruhe, Germany; 01/2003