Decentralized detection of violations f service level agreements using peer-to-peer technology
dc.contributor.advisor | Granville, Lisandro Zambenedetti | pt_BR |
dc.contributor.author | Nobre, Jéferson Campos | pt_BR |
dc.date.accessioned | 2016-08-27T02:16:22Z | pt_BR |
dc.date.issued | 2016 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/147771 | pt_BR |
dc.description.abstract | Critical networked services established between service provider and customers are expected to operate respecting Service Level Agreements (SLAs). An interesting possibility to monitor such SLAs is using active measurement mechanisms. However, these mechanisms are expensive in terms of network devices resource consumption and also increase the network load because of the injected traffic. In addition, if the number of SLA violations in a given time is higher than the number of available measurement sessions (common place in large and complex network infrastructures), certainly some violations will be missed. The current best practice, the observation of just a subset of network destinations driven by human administrators expertise, is error prone, does not scale well, and is ineffective on dynamic network conditions. This practice can lead to SLA violations being missed, which invariably affect the performance of several applications. In the present thesis, we advocated the use of Peer-to-Peer (P2P) technology to improve the detection of SLA violations. Such use is described using principles to control active measurement mechanisms. These principles are accomplished through strategies to activate measurement sessions. In this context, the major contributions of this thesis are: i) An approach to improve the detection of SLA violations through the steering of the activation of active measurement sessions using local and remote past service level measurement results and resource utilization constraints; ii) The concept of destination rank as an approach to autonomically prioritize destinations for the activation of active measurement sessions using destination scores; iii) The concept of correlated peers to enable the autonomic provisioning of a P2P measurement overlay for the exchange of relevant active measurement results; iv) The concept of virtual measurement sessions to enable the sharing of measurement results among correlated peers in order to save network devices resources and to improve SLA monitoring coverage; v) The definition of decentralized strategies to steer the activation of active measurement sessions using P2P principles. The method used on the investigation started with the execution of literature reviews on the networkwide control of measurement mechanisms and the employment of P2P technology on network management. After that, the proposed principles to control active measurement mechanisms and the strategies to activate measurement sessions were described. Finally, experiments were performed to evaluate the performance as well as to highlight properties of such principles and strategies. The findings showed properties which improve the detection of SLA violations in terms of the number of detected violations and the adaptivity to network dynamics. We expect that such findings can lead to better SLA monitoring tools and methods. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.rights | Open Access | en |
dc.subject | Network management | en |
dc.subject | Gerencia : Redes : Computadores | pt_BR |
dc.subject | P2P | en |
dc.subject | Seguranca : Redes : Computadores | pt_BR |
dc.subject | P2P-based network management | en |
dc.subject | SLA | en |
dc.subject | Active measurement | en |
dc.subject | Autonomic management | en |
dc.title | Decentralized detection of violations f service level agreements using peer-to-peer technology | pt_BR |
dc.type | Tese | pt_BR |
dc.identifier.nrb | 001000274 | pt_BR |
dc.degree.grantor | Universidade Federal do Rio Grande do Sul | pt_BR |
dc.degree.department | Instituto de Informática | pt_BR |
dc.degree.program | Programa de Pós-Graduação em Computação | pt_BR |
dc.degree.local | Porto Alegre, BR-RS | pt_BR |
dc.degree.date | 2016 | pt_BR |
dc.degree.level | doutorado | pt_BR |
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