Relevant bibliographies by topics / Autonomic network management

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomic network management'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Autonomic network management"

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Tsagkaris, Kostas, Marios Logothetis, Vassilis Foteinos, George Poulios, Michalis Michaloliakos, and Panagiotis Demestichas. "Customizable Autonomic Network Management: Integrating Autonomic Network Management and Software-Defined Networking." IEEE Vehicular Technology Magazine 10, no. 1 (March 2015): 61–68. http://dx.doi.org/10.1109/mvt.2014.2380633.

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Bashar, Abul, Gerard Parr, Sally McClean, Bryan Scotney, and Detlef Nauck. "Application of Bayesian Networks for Autonomic Network Management." Journal of Network and Systems Management 22, no. 2 (October 20, 2013): 174–207. http://dx.doi.org/10.1007/s10922-013-9289-x.

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Gogineni, Hemant, Albert Greenberg, David Maltz, T. Eugene Ng, Hong Yan, and Hui Zhang. "MMS: An autonomic network-layer foundation for network management." IEEE Journal on Selected Areas in Communications 28, no. 1 (January 2010): 15–27. http://dx.doi.org/10.1109/jsac.2010.100103.

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Hu, Yu. "Autonomic Network Control and Management System for Engineering Training Room." Applied Mechanics and Materials 303-306 (February 2013): 2353–56. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2353.

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Core networks should continue delivering best effort service and at the same time they have to be able to meet different transport service requirements initiated by multiplicity of heterogeneous users. Management is a fundamental aspect of the promise of next generation networks and services. In this paper, AutoNet as an autonomic management and control system networks is put forward. AutoNet is architecture to automate data transport delivery in backbone networks. We also take the project of autonomic network control and management system for engineering training room as the instance to research the technology for university experiment teaching.
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Van Wambeke, N., F. Armando, and A. Abdelkefi. "Models and Architecture for Autonomic Network Management." International Journal of Business Data Communications and Networking 5, no. 2 (April 2009): 35–51. http://dx.doi.org/10.4018/jbdcn.2009040103.

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Arzo, Sisay Tadesse, Riccardo Bassoli, Fabrizio Granelli, and Frank H. P. Fitzek. "Multi-Agent Based Autonomic Network Management Architecture." IEEE Transactions on Network and Service Management 18, no. 3 (September 2021): 3595–618. http://dx.doi.org/10.1109/tnsm.2021.3059752.

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Rodriguez-Vivas, Angela, Oscar Mauricio Caicedo, Armando Ordoñez, Jéferson Campos Nobre, and Lisandro Zambenedetti Granville. "NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems." Sensors 21, no. 5 (March 4, 2021): 1790. http://dx.doi.org/10.3390/s21051790.

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Realizing autonomic management control loops is pivotal for achieving self-driving networks. Some studies have recently evidence the feasibility of using Automated Planning (AP) to carry out these loops. However, in practice, the use of AP is complicated since network administrators, who are non-experts in Artificial Intelligence, need to define network management policies as AP-goals and combine them with the network status and network management tasks to obtain AP-problems. AP planners use these problems to build up autonomic solutions formed by primitive tasks that modify the initial network state to achieve management goals. Although recent approaches have investigated transforming network management policies expressed in specific languages into low-level configuration rules, transforming these policies expressed in natural language into AP-goals and, subsequently, build up AP-based autonomic management loops remains unexplored. This paper introduces a novel approach, called NORA, to automatically generate AP-problems by translating Goal Policies expressed in natural language into AP-goals and combining them with both the network status and the network management tasks. NORA uses Natural Language Processing as the translation technique and templates as the combination technique to avoid network administrators to learn policy languages or AP-notations. We used a dataset containing Goal Policies to evaluate the NORA’s prototype. The results show that NORA achieves high precision and spends a short-time on generating AP-problems, which evinces NORA aids to overcome barriers to using AP in autonomic network management scenarios.
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Wang, Wendong, Qinglei Qi, Xiangyang Gong, Yannan Hu, and Xirong Que. "Autonomic QoS management mechanism in Software Defined Network." China Communications 11, no. 7 (July 2014): 13–23. http://dx.doi.org/10.1109/cc.2014.6895381.

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Lehocine, Madjed Bencheikh, and Mohamed Batouche. "Achieving efficiency in autonomic network management of IP networks based on SDN management logic." International Journal of Communication Networks and Distributed Systems 20, no. 4 (2018): 484. http://dx.doi.org/10.1504/ijcnds.2018.092145.

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Batouche, Mohamed, and Madjed Bencheikh Lehocine. "Achieving efficiency in autonomic network management of IP networks based on SDN management logic." International Journal of Communication Networks and Distributed Systems 20, no. 4 (2018): 484. http://dx.doi.org/10.1504/ijcnds.2018.10013190.

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Dissertations / Theses on the topic "Autonomic network management"

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Bashar, Abul. "On the application of Bayesian networks for autonomic network management." Thesis, Ulster University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.646023.

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The quest for achieving an efficient, reliable and cost-effective network infrastructure in support of innovative and rich communication services has resulted in the advent and popularity of IP based converged Next Generation Networks (NGN). According to the ITU-T, the NGN has significant advantages such as support for end to end Quality of Service (QoS), generalised mobility, converged services between fixed & mobile networks and interworking with legacy networks. These networks require Network Management Systems (NMS), which play a key role in monitoring and administering them, to ensure smooth running of services and optimum utilisation of network resources. However, it has been observed that a disparity exists in the pace of development of the NGN and the existing NMSs. This thesis takes up the challenge of addressing this disparity by providing autonomic, intelligent and scalable NM solutions with focus on QoS Management, Distributed Monitoring & Control and Traffic Engineering. Traditional methods of network management do have shortcomings in providing the level of dependability and reliability which is required in the current NGN environment. Machine Learning (ML) approaches have gained popularity as the foundation of intelligent and automated systems, since they are capable of modelling the system behaviour through the process of learning, based on the observation of the system over a period of time. Once appropriately trained they can automatically estimate and predict future system behaviour with high accuracy and speed. Hence, the overall objective of this research is design, development and evaluation of ML based network management mechanisms for Admission Control , Distributed Monitoring & Control and Intelligent Traffic Engineering. In the pursuit of fulfilling the stated objective, the Bayesian Networks (BN) approach emerged as a viable and efficient solution to the identified specific problems.
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Varsha, Jain. "Enabling energy efficiency of the network management function using autonomic network element Intelligence." Thesis, Ulster University, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667763.

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Ljungdahl, Emil, and Erik Andersson. "Design of an autonomic system for IP-network environments." Thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-3331.

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A2B Electronics AB is a company that develops and manufactures products and technology for digital cable television. A2B's new EXM-product family translates digital television channels from multiple source networks into a single destination network. Multiple EXM-units are connected in a system to provide a custom set of TV channels. To minimize the administrative effort, the units in a system should be able to interact and collaborate without manual intervention. The purpose of this thesis is to propose an underlying system that supports seamless interaction and collaboration between units.

The autonomic system concept has served as a foundation for the proposed solution. The requirements for the EXM-system proved to be similar to many properties of an autonomic system. The proposed solution was elaborated by answering five reseach questions. The answers describe how an autonomic system can be implemented with the prerequisites of the EXM-system. Solutions for service availability, configuration preservation, system state changes and automatic addressing and communication are provided.

The project has resulted in a proposal of a general autonomic system. The solution has also been implemented as prototype that runs both in a simulator and on the EXM-hardware. The simulator was also developed in the scope of this project as a side-effect of the limited access to EXM-hardware.

The proposed solution together with the prototype can hopefully serve as a base for projects with prerequisites similar to the project described in this thesis.

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Luoto, M. (Markus). "Managing control information in autonomic wireless networking." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526216454.

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Abstract As mobile Internet access traffic continues to grow at an explosive rate and wireless networks continue to diverge into multiple access technologies with partly overlapping sets of features, new solutions for efficient use of these networks are vital. Cognitive network management provides tools to tackle this challenge by automatically learning from past experience the characteristics and usage patterns of the connected devices, thus enabling autonomic optimization of those connections. Cognitive network management requires a vast amount of information in order to function effectively, making collaboration of the networked devices essential as the best sources of information are scattered throughout the network. This makes efficient information dissemination one of the key enablers for autonomic networking. This dissertation studies managing control information related to autonomic selection of access networks and adapting services in a heterogeneous wireless network environment. It presents a solution to simple and efficient information dissemination in the form of Distributed Decision Engine— a CEP-like system enabling the building of a highly scalable and dynamic messaging system enabling dissemination, analysis and control of the complex series of interrelated events in the network. The dissertation also presents results showing a clear benefit in using cross-layer and cross-domain information in a modern wireless environment and validates the final prototype implementation of DDE with laboratory measurements. Effective use of disseminated cross-layer information is another key element in autonomic wireless networking. This dissertation also focuses on intelligent decision-making based on cross-layer information by presenting test results which attest that the performance of an autonomic wireless networking system can be improved by using cognitive techniques in its management algorithms, and that hierarchy and coordination can be utilized to minimize the effect of conflicting decisions of the system
Tiivistelmä Mobiilin Internet-liikenteen räjähdysmäinen kasvu ja langattomien verkkojen jatkuva jakautuminen useisiin tekniikoihin vaativat uusia ratkaisuja näiden verkkojen tehokkaaseen käyttöön. Kognitiivinen verkon hallinta mahdollistaa oppimisen, minkä avulla laitteiden yhteyksiä voidaan optimoida autonomisesti aiemman kokemuksen perusteella. Tällainen optimointi vaatii kuitenkin valtavan määrän verkosta ja laitteista kerättyä tietoa, mikä tekee tehokkaasta tiedonjakelusta keskeisen elementin autonomisessa verkon hallinnassa. Tässä väitöskirjassa tutkitaan verkon valintaan ja palveluiden sopeuttamiseen vaadittavan tiedon välittämistä ja hallintaa autonomisissa langattomissa verkoissa. Ratkaisuna yksinkertaiseen ja tehokkaaseen tiedonvälitykseen esitellään hajautettu Distributed Decision Engine -komponentti, joka mahdollistaa skaalautuvan tiedon jakelu-, analysointi- ja hallintajärjestelmän rakentamisen. Lisäksi väitöskirjassa kuvataan myös tuloksia, jotka osoittavat, että verkkokerrosten välisen tiedon käyttämisellä voidaan saavuttaa selvää etua, sekä tuloksia, jotka vahvistavat DDE-prototyyppitoteutuksen toimivuuden laboratoriomittauksin. Verkkokerrosten välisen tiedon tehokas hyödyntäminen on toinen keskeinen tekijä autonomisessa langattomien verkkojen hallinnassa. Väitöskirjassa käsitellään myös älykästä päätöksentekoa kyseisen informaation pohjalta sekä esitellään tuloksia, jotka osoittavat, että päätöksentekoa autonomisessa langattomien verkkojen hallinnassa voidaan parantaa kognitiivisilla tekniikoilla. Lisäksi esitetyt tulokset osoittavat, että hierarkialla sekä koordinoinnilla voidaan minimoida ristiriitaisten päätösten vaikutukset järjestelmään
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Barrère, Cambrún Martín. "Vulnerability management for safe configurations in autonomic networks and systems." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0048/document.

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Le déploiement d'équipements informatiques à large échelle, sur les multiples infrastructures interconnectées de l'Internet, a eu un impact considérable sur la complexité de la tâche de gestion. L'informatique autonome permet de faire face à cet enjeu en spécifiant des objectifs de haut niveau et en déléguant les activités de gestion aux réseaux et systèmes eux-mêmes. Cependant, lorsque des changements sont opérés par les administrateurs ou par les équipements autonomes, des configurations vulnérables peuvent être involontairement introduites. Ces vulnérabilités offrent un point d'entrée pour des attaques de sécurité. À cet égard, les mécanismes de gestion des vulnérabilités sont essentiels pour assurer une configuration sûre de ces environnements. Cette thèse porte sur la conception et le développement de nouvelles méthodes et techniques pour la gestion des vulnérabilités dans les réseaux et systèmes autonomes, afin de leur permettre de détecter et de corriger leurs propres expositions aux failles de sécurité. Nous présenterons tout d'abord un état de l'art sur l'informatique autonome et la gestion de vulnérabilités. Nous décrirons ensuite notre approche d'intégration du processus de gestion des vulnérabilités dans ces environnements, et en détaillerons les différentes facettes, notamment : extension de l'approche dans le cas de vulnérabilités distribuées, prise en compte du facteur temps en considérant une historisation des paramètres de configuration, et application en environnements contraints en utilisant des techniques probabilistes. Nous présenterons également les prototypes et les résultats expérimentaux qui ont permis d'évaluer ces différentes contributions
Over the last years, the massive deployment of computing devices over disparate interconnected infrastructures has dramatically increased the complexity of network management. Autonomic computing has emerged as a novel paradigm to cope with this challenging reality. By specifying high-level objectives, autonomic computing aims at delegating management activities to the networks themselves. However, when changes are performed by administrators and self-governed entities, vulnerable configurations may be unknowingly introduced. Nowadays, vulnerabilities constitute the main entry point for security attacks. Therefore, vulnerability management mechanisms are vital to ensure safe configurations, and with them, the survivability of any autonomic environment. This thesis targets the design and development of novel autonomous mechanisms for dealing with vulnerabilities, in order to increase the security of autonomic networks and systems. We first present a comprehensive state of the art in autonomic computing and vulnerability management. Afterwards, we present our contributions which include autonomic assessment strategies for device-based vulnerabilities and extensions in several dimensions, namely, distributed vulnerabilities (spatial), past hidden vulnerable states (temporal), and mobile security assessment (technological). In addition, we present vulnerability remediation approaches able to autonomously bring networks and systems into secure states. The scientific approaches presented in this thesis have been largely validated by an extensive set of experiments which are also discussed in this manuscript
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Guardalben, Lucas. "Communication between nodes for autonomic and distributed management." Doctoral thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/12877.

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Doutoramento conjunto MAPi em Informática
Over the last decade, the most widespread approaches for traditional management were based on the Simple Network Management Protocol (SNMP) or Common Management Information Protocol (CMIP). However, they both have several problems in terms of scalability, due to their centralization characteristics. Although the distributed management approaches exhibit better performance in terms of scalability, they still underperform regarding communication costs, autonomy, extensibility, exibility, robustness, and cooperation between network nodes. The cooperation between network nodes normally requires excessive overheads for synchronization and dissemination of management information in the network. For emerging dynamic and large-scale networking environments, as envisioned in Next Generation Networks (NGNs), exponential growth in the number of network devices and mobile communications and application demands is expected. Thus, a high degree of management automation is an important requirement, along with new mechanisms that promote it optimally and e ciently, taking into account the need for high cooperation between the nodes. Current approaches for self and autonomic management allow the network administrator to manage large areas, performing fast reaction and e ciently facing unexpected problems. The management functionalities should be delegated to a self-organized plane operating within the network, that decrease the network complexity and the control information ow, as opposed to centralized or external servers. This Thesis aims to propose and develop a communication framework for distributed network management which integrates a set of mechanisms for initial communication, exchange of management information, network (re) organization and data dissemination, attempting to meet the autonomic and distributed management requirements posed by NGNs. The mechanisms are lightweight and portable, and they can operate in di erent hardware architectures and include all the requirements to maintain the basis for an e cient communication between nodes in order to ensure autonomic network management. Moreover, those mechanisms were explored in diverse network conditions and events, such as device and link errors, di erent tra c/network loads and requirements. The results obtained through simulation and real experimentation show that the proposed mechanisms provide a lower convergence time, smaller overhead impact in the network, faster dissemination of management information, increase stability and quality of the nodes associations, and enable the support for e cient data information delivery in comparison to the base mechanisms analyzed. Finally, all mechanisms for communication between nodes proposed in this Thesis, that support and distribute the management information and network control functionalities, were devised and developed to operate in completely decentralized scenarios.
Durante a última década, protocolos como Simple Network Management Protocol (SNMP) ou Common Management Information Protocol (CMIP) foram as abordagens mais comuns para a gestão tradicional de redes. Essas abordagens têm vários problemas em termos de escalabilidade, devido às suas características de centralização. Apresentando um melhor desempenho em termos de escalabilidade, as abordagens de gestão distribuída, por sua vez, são vantajosas nesse sentido, mas também apresentam uma série de desvantagens acerca do custo elevado de comunicação, autonomia, extensibilidade, exibilidade, robustez e cooperação entre os nós da rede. A cooperação entre os nós presentes na rede é normalmente a principal causa de sobrecarga na rede, uma vez que necessita de colectar, sincronizar e disseminar as informações de gestão para todos os nós nela presentes. Em ambientes dinâmicos, como é o caso das redes atuais e futuras, espera-se um crescimento exponencial no número de dispositivos, associado a um grau elevado de mobilidade dos mesmos na rede. Assim, o grau elevado de funções de automatiza ção da gestão da rede é uma exigência primordial, bem como o desenvolvimento de novos mecanismos e técnicas que permitam essa comunicação de forma optimizada e e ciente. Tendo em conta a necessidade de elevada cooperação entre os elementos da rede, as abordagens atuais para a gestão autonómica permitem que o administrador possa gerir grandes áreas de forma rápida e e ciente frente a problemas inesperados, visando diminuir a complexidade da rede e o uxo de informações de controlo nela gerados. Nas gestões autonómicas a delegação de operações da rede é suportada por um plano auto-organizado e não dependente de servidores centralizados ou externos. Com base nos tipos de gestão e desa os acima apresentados, esta Tese tem como principal objetivo propor e desenvolver um conjunto de mecanismos necessários para a criação de uma infra-estrutura de comunicação entre nós, na tentativa de satisfazer as exigências da gestão auton ómica e distribuída apresentadas pelas redes de futura geração. Nesse sentido, mecanismos especí cos incluindo inicialização e descoberta dos elementos da rede, troca de informação de gestão, (re) organização da rede e disseminação de dados foram elaborados e explorados em diversas condições e eventos, tais como: falhas de ligação, diferentes cargas de tráfego e exigências de rede. Para além disso, os mecanismos desenvolvidos são leves e portáveis, ou seja, podem operar em diferentes arquitecturas de hardware e contemplam todos os requisitos necessários para manter a base de comunicação e ciente entre os elementos da rede. Os resultados obtidos através de simulações e experiências reais comprovam que os mecanismos propostos apresentam um tempo de convergência menor para descoberta e troca de informação, um menor impacto na sobrecarga da rede, disseminação mais rápida da informação de gestão, aumento da estabilidade e a qualidade das ligações entre os nós e entrega e ciente de informações de dados em comparação com os mecanismos base analisados. Finalmente, todos os mecanismos desenvolvidos que fazem parte da infrastrutura de comunicação proposta foram concebidos e desenvolvidos para operar em cenários completamente descentralizados.
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Franco, Theo Ferreira. "Uma arquitetura baseada em políticas para o provimento de QoS utilizando princípios de Autonomic Computing." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/14781.

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Sistemas corporativos modernos cada vez mais dependentes da rede e a integração de serviços entorno do modelo TCP/IP elevam a exigência de Qualidade de Serviço da infraestrutura de TI. Neste cenário, o dinamismo das redes atuais em conjunto com os novos requisitos de QoS exigem que a infra-estrutura de TI seja mais autônoma e confiável. Para tratar esta questão, o modelo de Gerenciamento de Redes Baseado em Políticas, proposto pelo IETF, vem se consolidando como uma abordagem para controlar o comportamento da rede através do controle das configurações dos seus dispositivos. Porém, o foco deste modelo é o gerenciamento de políticas internas a um domínio administrativo. Esta característica faz com que o modelo possua algumas limitações, tais como a incapacidade de estabelecer qualquer tipo de coordenação entre diferentes PDPs e a impossibilidade de reagir a eventos externos. Visando agregar autonomia ao modelo de gerenciamento baseado em políticas, este trabalho propõe uma arquitetura em camadas que empregue os conceitos de Autonomic Computing relacionados a: i) adaptação dinâmica dos recursos gerenciados em resposta às mudanças no ambiente, ii) integração com sistemas de gerenciamento de outros domínios através do recebimento de notificações destes, iii) capacidade de planejar ações de gerenciamento e iv) promoção de ações de gerenciamento que envolvam mais de um domínio administrativo, estabelecendo uma espécie de coordenação entre PDPs. Para a implementação destes conceitos, a arquitetura prevê o uso de uma camada peerto- peer (P2P) sobre a plataforma de políticas. Desta forma, a partir de uma notificação recebida, a camada P2P planeja ações visando adaptar o comportamento da rede aos eventos ocorridos na infra-estrutura de TI. As ações planejadas traduzem-se em inclusões ou remoções de políticas da plataforma de políticas responsável por gerenciar a configuração dos dispositivos de rede. Para notificações que envolvam recursos de mais de um domínio administrativo, os peers de gerenciamento agem de forma coordenada para implantar as devidas ações em cada domínio. A arquitetura proposta foi projetada com foco em prover QoS em uma rede com suporte à DiffServ, embora acredite-se que a sua estrutura seja genérica o bastante para ser aplicada a outros contextos. Como estudo de caso, foi analisado o emprego da arquitetura em resposta a eventos gerados por uma grade computacional. Foi elaborado ainda um protótipo da arquitetura utilizando o Globus Toolkit 4 como fonte de eventos.
Modern corporative systems becoming more dependent of the network and the integration of services around the TCP/IP model increase the requirement of Quality of Service (QoS) of the IT infrastructure. In this scene, the dynamism of current networks together with the new requirements of QoS demands a more autonomous and reliable IT infrastructure. To address this issue, the model of Police Based Network Management, proposed by IETF, has been consolidated as an approach to control the behavior of the network through the control of the configurations of its devices. However, the focus of this model is the management of the policies internal to an administrative domain. This feature brings some limitations to the model, such as the incapacity to establish any kind of coordination between different PDPs and the impossibility to react to external events. Aiming at to add autonomy to the model of Policy Based Network Management, this work proposes a layered architecture based on the concepts of Autonomic Computing related to: i) the dynamic adaptation of the managed resources in response to changes in the environment, ii) integration with management systems of other domains through the reception of notifications of these systems, iii) ability of planning the management actions and iv) execution of multi-domain management actions, establishing a kind of coordination between PDPs. To implement these concepts, the architecture was designed with a peer-to-peer layer above the policy platform. Thus, from a received notification, the P2P layer plans actions aiming to adapt the network behavior in response to the events occurred in the IT infrastructure. The planned actions are, actually, inclusions or removals of policies in the policy platform responsible for the management of the network devices configuration. For notifications related with resources of more than one administrative domain, the management peers act in a coordinated way in order to establish the suitable actions in each domain. The proposed architecture was designed with focus in providing QoS in a network with support to DiffServ, although we believe that its structure is generic enough to be applied to other contexts. As case study, it was analyzed the use of the architecture in response to events generated by a computational grid. Additionally, a prototype of the architecture was build making use of Globus Toolkit 4 as an event source.
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Elkotob, Muslim. "Efficient and systematic network resource management." Doctoral thesis, Luleå tekniska universitet, Datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-17190.

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The demand for network resources (e.g. forwarding capacity, buffer space) by increasingly used real-time multimedia applications is growing. Moreover, their stringent performance requirements (e.g. delay and jitter bounds) pose challenges on network resource management (RM). RM determines how available resources are modeled and distributed to achieve a performance goal such as assuring forwarding quality to real-time multimedia applications. Improvements to existing RM mechanisms can avoid performance limitations of networks by facilitating more efficient use of scarce resources. For example, in a vehicular to infrastructure (V2I) communication scenario that uses IP Multimedia Subsystem (IMS) lacking RM support for multicast, the 3G downlink quickly becomes a bottleneck although some information is addressed to multiple receivers. The main goal of this thesis is to develop RM algorithms and protocols that improve forwarding capacity utilization and remove performance bottlenecks. An additional goal is to improve the scalability of existing RM mechanisms. Three architectural paradigms are covered to demonstrate the advantages of efficient and systematic network RM: open access networks (OAN), next generation networks (NGN), and heterogeneous access networks (HAN). For OAN, a cross-layer signaling technique called parameter injection was developed. It reduces the signaling overhead and update time for real-time multimedia sessions over Wi-Fi while autonomously selecting the format and CODEC that best match the current resource settings. Within NGN, a resource management protocol is proposed for extending unicast signaling in IMS with multicast capabilities. The contribution uses adaptive and dynamic group size selection to improve resource utilization on the 3G downlink for the signaling and data planes. For HAN, an algorithm is proposed that predicts the best access network for achieving the highest QoE of a real-time multimedia session with the available QoS resources based on regression and statistical learning. In all three paradigms, the provided core contributions serve the common goal of achieving a performance edge in terms of efficiency and systematic operation with a limited amount of network resources.

Godkänd; 2011; 20110207 (ysko); DISPUTATION Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Muslim Elkotob Ämnesområde: Mobila system/Mobile Systems Avhandling: Efficient and Systematic Network Resource Management Opponent: Professor Anna Brunström, Institutionen för datavetenskap, Karlstads universitet Ordförande: Docent Christer Åhlund, Institutionen för system- och rymdteknik, Luleå tekniska universitet Tid: Fredag den 18 mars 2011, kl 10.00 Plats: A1514, Luleå tekniska universitet

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Nobre, Jéferson Campos. "Decentralized detection of violations f service level agreements using peer-to-peer technology." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/147771.

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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.
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Duarte, Pedro Arthur Pinheiro Rosa. "Um serviço de self-healing baseado em P2P para manutenção de redes de computadores." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/122507.

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Observou-se nos últimos anos um grande aumetno na complexidade das redes. Surgiram também novos desa os para gerenciamento dessas redes. A dimensão atual e as tendências de crescimento das infraestruturas tem inviabilizado as técnicas de gerencimento de redes atuais, baseadas na intervenção humana. Por exemplo, a heterogeneidade dos elementos gerenciados obrigam que administradores e gerentes lidem com especi cidades de implanta ção que vão além dos objetivos gerenciais. Considerando as áreas funcionais da gerência de redes, a gerência de falhas apresenta impactos operacionais interessantes. Estima-se que 33% dos custos operacionais estão relacionados com a prevenção e recuperação de falhas e que aproximadamente 44% desse custo visa à resolução de problemas causados por erros humanos. Dentre as abordagens de gerência de falhas, o Self-Healing objetiva minimizar as interações humanas nas rotinas de gerenciamento de falhas, diminuindo dessa forma erros e demandas operacionais. Algumas propostas sugerem que o Self-Healing seja planejado no momento do projeto das aplicações. Tais propostas são inviáveis de aplicação em sistemas legados. Otras pesquisas sugerem à análise e instrumentação das aplicações em tempo de execução. Embora aplicáveis a sistemas legados, análise e instrumentação em tempo de execução estão fortemente acopladas as tecnologias e detalhes de implementação das aplicações. Por esse motivo, é difícil aplicar tais propostas, por exemplo, em um ambiente de rede que abrange muitas entidades gerenciadas implantadas através de diferentes tecnologias. Porém, parece plausível oferecer aos adminitradores e gerentes facilidades através das quais eles possam expressar seus conhecimentos sobre anoamlias e falhas de aplicações, bem como mecanismos através dos quais esses conhecimentos possam ser utilizado no gerenciamento de sistemas. Essa dissertação de mestrado tem como objetivo apresentar e avaliar uma solução comum que introduza nas redes capacidades de self-healing. A solu- ção apresentada utiliza-se de workplans para capturar o conhecimento dos administradores em como diagnosticar e recuperar anomalias e falhas em redes. Além disso, o projeto e implementação de um framework padrão para detecção e noti cação de falhas é discutido no âmbito de um sistema de gerenciamento baseado em P2P. Por último, uma avaliação experimental clari ca a viabilidade do ponto de vista operacional.
In recent years, a huge raise in networks' complexity was witnessed. Along the raise in complexity, many management challenges also arose. For instance, managed entities' heterogeneity demands administrators and managers to deal with cumbersome implementation and deployment speci cities. Moreover, infrastructures' current size and growth-trends show that it is becoming infeasible to rely on human-in-the-loop management techniques. Inside the problem domain of network management, Fault Management is appealing because of its impact in operational costs. Researches estimate that more than 33% of operational costs are related to preventing and recovering faults, where about 40% of this investment is directed to solve human-caused operational errors. Hence, addressing human interaction is mostly unarguably a need. Among di erent approaches, Self-Healing, a property of Autonomic Network Management's proposal, targets to avoid humans' interactions and decisions on Fault Management loops, thereupon unburden administrators and managers from performing Fault Management-related tasks. Some researches on Self-Healing enabling approaches suppose that Fault Management capabilities should be planned in design-time. These approaches are impossible to apply on legacy systems. Other researches suggest runtime analysis and instrumentation of applications' bytecode. Albeit applicable to some legacy systems, these last proposals are tightly-coupled to implementation's issues of underlaying technologies. For this reason, it is hard to apply such proposals end-toend, for example, in a scenario encompassing many managed entities implemented through di erent technologies. However, it is possible to o er to administrators and managers facilities to express they knowledge about networks' anomalies and faults, and facilities to leverage this knowledge. This master dissertation has as objective to present and evaluate a solution to imbue network management systems with self-healing capabilities. The solution relies on workplans as a mean to gather administrators and managers' knowledge on how to diagnose and heal networks' anomalies and faults. Besides that, the design and implementation of a standard framework for fault detection and noti cation customization is discussed while considering a P2P-Based Network Management System as its foundations. At last, an experimental evaluation renders clear the proposal's feasibility from the operational point of view.
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Books on the topic "Autonomic network management"

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MACE 2009 (2009 Venice, Italy). Modelling autonomic communications environments: Fourth IEEE international workshop, MACE 2009, Venice, Italy, October 26-27, 2009 : proceedings. Berlin: Springer, 2009.

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Gerard, Parr, Malone David 1973-, Ó Foghlú Mícheál, and Institute of Electrical and Electronics Engineers., eds. Autonomic principles of IP operations and management: 6th IEEE International Workshop on IP Operations and Management, IPOM 2006, Dublin, Ireland, October 23-25, 2006 ; proceedings. Berlin: Springer, 2006.

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I, Smirnov Mikhail, and International Federation for Information Processing., eds. Autonomic communication: First international IFIP workshop, WAC 2004, Berlin, Germany, October 18-19, 2004 : revised selected papers. Berlin: Springer, 2005.

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Ahmed, Helmy, International Federation for Information Processing., and Institute of Electrical and Electronics Engineers., eds. Autonomic management of mobile multimedia services: 9th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2006, Dublin, Ireland, October 25-27, 2006 : proceedings. Berlin: Springer, 2006.

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International Conference on Autonomous Infrastructure, Management, and Security (4th 2010 Zurich, Switzerland). Mechanisms for autonomous management of networks and services: 4th International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2010, Zurich, Switzerland, June 23-25, 2010 : proceedings. Berlin: Springer, 2010.

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Brennan, Rob. Modelling Autonomic Communication Environments: 5th IEEE International Workshop, MACE 2010, Niagara Falls, Canada, October 28, 2010. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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Szabó, Róbert. Access Networks: 5th International ICST Conference on Access Networks, AccessNets 2010 and First ICST International Workshop on Autonomic Networking and Self-Management in Access Networks, SELFMAGICNETS 2010, Budapest, Hungary, November 3-5, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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IFIP/IEEE International Workshop on Distributed Systems: Operation and Management (20th 2009 Venice, Italy). Integrated management of systems, services, processes and people in IT: 20th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2009, Venice, Italy, October 27-28, 2009 : proceedings. Berlin: Springer, 2009.

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DPM 2009 (2009 Saint-Malo, France). Data privacy management and autonomous spontaneous security: 4th International Workshop, DPM 2009 and Second International Workshop, SETOP1009, St. Malo, France, September 24-25, 2009 : revised selected papers. Berlin: Springer, 2010.

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David, Hutchison. Future Multimedia Networking: Second International Workshop, FMN 2009, Coimbra, Portugal, June 22-23, 2009. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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Book chapters on the topic "Autonomic network management"

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Zimmermann, Kai, Sebastian Felis, Stefan Schmid, Lars Eggert, and Marcus Brunner. "Autonomic Wireless Network Management." In Lecture Notes in Computer Science, 57–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11687818_5.

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Foley, Christopher, Sasitharan Balasubramaniam, Eamonn Power, Miguel Ponce de Leon, Dmitri Botvich, Dominique Dudkowski, Giorgio Nunzi, and Chiara Mingardi. "A Framework for In-Network Management in Heterogeneous Future Communication Networks." In Modelling Autonomic Communications Environments, 14–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87355-6_2.

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Strassner, John, Sven van der Meer, and James Won-Ki Hong. "The Applicability of Self-Awareness for Network Management Operations." In Modelling Autonomic Communications Environments, 15–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05006-0_2.

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Pickering, Brian, Miguel A. Fernández, Antonio Castillo, and Erhan Mengusoglu. "A Domain-Specific Modelling Approach for Autonomic Network Management." In Modelling Autonomic Communications Environments, 108–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87355-6_10.

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Eyal, Amir, and Robin Braun. "A Model for Scalable and Autonomic Network Management." In Active and Programmable Networks, 194–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00972-3_17.

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Kwon, Dong-Hee, Woo-Jae Kim, Young-Joo Suh, and James W. Hong. "Towards Autonomic Network Management for Mobile IPv4 Based Wireless Networks." In Lecture Notes in Computer Science, 144–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11908852_13.

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Chaudhry, Shafique Ahmad, Ali Hammad Akbar, Faisal Siddiqui, and Ki-Hyung Kim. "Autonomic Network Management for Wireless Mesh and MANETs." In Self-Organizing Systems, 259. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11822035_27.

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Amin, Mina, Kin-Hon Ho, Michael Howarth, and George Pavlou. "An Integrated Network Management Framework for Inter-domain Outbound Traffic Engineering." In Autonomic Management of Mobile Multimedia Services, 208–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11907381_21.

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Ormond, Olga, Gabriel Miro-Muntean, and John Murphy. "Evaluation of an Intelligent Utility-Based Strategy for Dynamic Wireless Network Selection." In Autonomic Management of Mobile Multimedia Services, 158–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11907381_17.

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Lu, Jingxian, Christophe Dousson, Benoit Radier, and Francine Krief. "Towards an Autonomic Network Architecture for Self-healing in Telecommunications Networks." In Mechanisms for Autonomous Management of Networks and Services, 110–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13986-4_16.

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Conference papers on the topic "Autonomic network management"

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Mortier, Richard, and Emre Kiciman. "Autonomic network management." In the 2006 SIGCOMM workshop. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1162638.1162653.

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Spadaro, Salvatore, Fernando Agraz, Albert Pages, and Rafael Montero. "Autonomic 5G and beyond Network Management." In 2020 22nd International Conference on Transparent Optical Networks (ICTON). IEEE, 2020. http://dx.doi.org/10.1109/icton51198.2020.9203366.

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Toure, Mohammed, Girma Berhe, Patricia Stolf, Laurent Broto, Noel Depalma, and Daniel Hagimont. "Autonomic Management for Grid Applications." In 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008). IEEE, 2008. http://dx.doi.org/10.1109/pdp.2008.39.

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Khan, Manzoor, and Fikret Sivrikaya. "Agent based autonomic network control and management." In 2013 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2013. http://dx.doi.org/10.1109/wcnc.2013.6554807.

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Tizghadam, Ali, and Alberto Leon-Garcia. "AORTA: Autonomic network control and management system." In IEEE INFOCOM 2008 - IEEE Conference on Computer Communications Workshops. IEEE, 2008. http://dx.doi.org/10.1109/infocom.2008.4544621.

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Famaey, Jeroen, Steven Latre, John Strassner, and Filip De Turck. "A hierarchical approach to autonomic network management." In NOMS 2010 - 2010 IEEE/IFIP Network Operations and Management Symposium Workshops. IEEE, 2010. http://dx.doi.org/10.1109/nomsw.2010.5486571.

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Marquezan, Clarissa C., Lisandro Z. Granville, Giorgio Nunzi, and Marcus Brunner. "Distributed autonomic resource management for network virtualization." In 2010 IEEE Network Operations and Management Symposium - NOMS 2010. IEEE, 2010. http://dx.doi.org/10.1109/noms.2010.5488490.

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Koutsopoulos, Konstantinos, Mohammad Alselek, Rui Alheiro, Anastasius Gavras, and Maria Barros Weiss. "Tactical autonomic language for 5G network management." In 2017 Global Wireless Summit (GWS). IEEE, 2017. http://dx.doi.org/10.1109/gws.2017.8300481.

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Brennan, Rob, Zohar Etzioni, John Keeney, Kevin Feeney, Declan O'Sullivan, William Fitzgerald, and Simon Foley. "Federated autonomic management of HAN services." In 2011 IFIP/IEEE International Symposium on Integrated Network Management (IM 2011). IEEE, 2011. http://dx.doi.org/10.1109/inm.2011.5990646.

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Sibanda, Clifford C. L., and Olabisi E. Falowo. "Dynamic Autonomic Network Management: Evaluating the Architectural Challenges of Autonomic Management for Mobile Ubiquitous Access." In 2014 Federated Conference on Computer Science and Information Systems. PTI, 2014. http://dx.doi.org/10.15439/2014f459.

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Reports on the topic "Autonomic network management"

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Du, Z., B. Carpenter, and Q. Sun. Autonomic IPv6 Edge Prefix Management in Large-Scale Networks. Edited by S. Jiang. RFC Editor, May 2021. http://dx.doi.org/10.17487/rfc8992.

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