A Lightweight Approach to Distributed Network Diagnosis under Uncertainty

García-Algarra, Javier; Arozarena, Pablo; García-Gómez, Sergio; Carrera, Álvaro; Toribio-Sardon, Raquel

doi:10.1007/978-3-642-16793-5_5

Cited by 5 publications

(7 citation statements)

References 21 publications

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“…This work extends previous results [3] where a multi-agent system with Bayesian reasoning was proposed for fault diagnosis in Virtual Private Networks. This article presents how the system has evolved for a home scenario and which aspects have been improved.…”

Section: Introductionsupporting

confidence: 85%

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A Multi-Agent System with Distributed Bayesian Reasoning for Network Fault Diagnosis

Carrera

Gonzalez-Ordás

García-Algarra

et al. 2011

Advances in Intelligent and Soft Computing

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In this paper, an innovative approach to perform distributed Bayesian inference using a multi-agent architecture is presented. The final goal is dealing with uncertainty in network diagnosis, but the solution can be of applied in other fields. The validation testbed has been a P2P streaming video service. An assessment of the work is presented, in order to show its advantages when it is compared with traditional manual processes and other previous systems.

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Section: Introductionsupporting

confidence: 85%

“…Table 2 shows the time wasted since a symptom is detected to diagnosis is finished. Comparing this work with previous works [3], now the system improves the diagnosis time comparing with the previous approach and the system delegates portions of diagnosis in several physical places.…”

Section: Distributed Bayesian Reasoningmentioning

confidence: 66%

A Multi-Agent System with Distributed Bayesian Reasoning for Network Fault Diagnosis

Carrera

Gonzalez-Ordás

García-Algarra

et al. 2011

Advances in Intelligent and Soft Computing

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“…We focused on the deliberation process, leaving outside other research scope issues. Our proposal of decision support improves previous approaches [7], [8] both in time and in computational cost.…”

Section: Discussionmentioning

confidence: 57%

“…The benefits of the proposed meta-model have been evaluated comparing this approach with previous works [7], [8]. In this paper, we compare the performance of the system using deliberation driven by "cost" or by "influence".…”

Section: Discussionmentioning

confidence: 99%

Multi-agent Architecture for Heterogeneous Reasoning under Uncertainty Combining MSBN and Ontologies in Distributed Network Diagnosis

Carrera

Iglesias

2011

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

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Abstract-This article proposes a MAS architecture for network diagnosis under uncertainty. Network diagnosis is divided into two inference processes: hypothesis generation and hypothesis confirmation. The first process is distributed among several agents based on a MSBN, while the second one is carried out by agents using semantic reasoning. A diagnosis ontology has been defined in order to combine both inference processes.To drive the deliberation process, dynamic data about the influence of observations are taken during diagnosis process. In order to achieve quick and reliable diagnoses, this influence is used to choose the best action to perform. This approach has been evaluated in a P2P video streaming scenario. Computational and time improvements are highlight as conclusions.

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“…• Probabilistic reasoning [10] performs root-cause analysis and is able to report service component problems.…”

Section: The Magneto Approach To Service Modelsmentioning

confidence: 99%

IPTV service modeling in Magneto networks

Handurukande

Wallin²,

Jönsson³

2010

2010 IEEE/IFIP Network Operations and Management Symposium Workshops

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Abstract-One of the main steps of service assurance is service monitoring using Key Performance Indicators (KPIs) and Service Level Agreements (SLAs). We show an approach for service modeling, first starting with an abstract service model that depends on the network. And then, we show how a corresponding model can be realized using a domain specific language. This solution is able to condense various sources of service model requirements into a condense formal and executable model including service decomposition and KPI aggregation. We have described this solution in the context of Magneto project and uses IPTV as a service in our description. I. INTRODUCTIONModern day telecom and Internet based services are complex and large in scale. These services are generally built on top of shared network resources and they compete for common network resources. In addition, a new paradigm has emerged where content is provided from one user to another, as opposed to the traditional model, where content is centrally stored and fetched from the users at the edge of the network (e.g., Home Area Networks -HAN). The edge of the network (which includes HANs) has become important in terms of (1) configuration and performance management of the edge to deliver good quality complex services (2) edge being a demanding "content provider" (e.g., delivering high quality live video to other users). The management of outer-edge (HAN and access network) and end-to-end (one edge to another) service assurance has become very important. The Magneto project [1] aims to develop enabling technologies for outeredge management and end-to-end service assurance. Even though there are many research facets in the Magneto project, in this paper we only consider end-to-end service modeling and its usage for end-to-end service quality monitoring.Our solution leverage on managing services rather than the network resources which are used to deliver the services. Managing services rather than resources helps to tackle increased competition and handle more complex, distributed service offerings. It also helps to evaluate and fulfil Service Level Agreements [2] elegantly. However, the complexity of understanding and modeling services is a serious obstacle.Section II describes the Magneto IPTV media sharing scenario. The challenges around service models and our approach to modeling is presented in Section III. We show the value of KPI aggregation and service decomposition in an abstract IPTV model in Section IV. Section V illustrates the expressive power of a domain specific language for service modeling. This approach is able to formalize informal models, and

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A Lightweight Approach to Distributed Network Diagnosis under Uncertainty

Cited by 5 publications

References 21 publications

A Multi-Agent System with Distributed Bayesian Reasoning for Network Fault Diagnosis

A Multi-Agent System with Distributed Bayesian Reasoning for Network Fault Diagnosis

Multi-agent Architecture for Heterogeneous Reasoning under Uncertainty Combining MSBN and Ontologies in Distributed Network Diagnosis

IPTV service modeling in Magneto networks

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