ANEMA: Autonomic network management architecture to support self-configuration and self-optimization in IP networks

Derbel, Hajer; Agoulmine, Nazim; Salaun, Mikael

doi:10.1016/j.comnet.2008.10.022

Cited by 55 publications

(31 citation statements)

References 13 publications

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“… Heterogeneous functionality management [11]: An issue and requirement existent in the implementation of autonomic principles for smart cities management is the availability of multiple devices with distinct resources (capabilities). Due to the heterogeneity of models and consequent failure to meet standards, smart cities devices end up with different representation of their resources and, typically, have different monitoring facilities.…”

Section: B Autonomic Challenges In Smart Cities Contextmentioning

confidence: 99%

On computational infraestruture requirements to smart and autonomic cities framework

Bezerra¹,

Nascimento²,

Martins³

2015

2015 IEEE First International Smart Cities Conference (ISC2)

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Smart cities are an actual trend being pursued by research that, fundamentally, tries to improve city´s management on behalf of a better human quality of live. This paper proposes a new autonomic complementary approach for smart cities management. It is argued that smart city management systems with autonomic characteristics will improve and facilitate management functionalities in general. A framework is also presented as use case considering specific application scenarios like smart-health, smart-grid, smart-environment and smartstreets.

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Section: B Autonomic Challenges In Smart Cities Contextmentioning

confidence: 99%

On computational infraestruture requirements to smart and autonomic cities framework

Bezerra¹,

Nascimento²,

Martins³

2015

2015 IEEE First International Smart Cities Conference (ISC2)

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“…Moreover, with increased competition, improving the quality of the offered services as perceived by the users, commonly referred to as the quality of experience (QoE), has become very important to providers in order to reduce the customer churn rate and maintain or increase their competitive edge. QoE has been defined as the totality of the quality of service (QoS) mechanisms, provided to ensure a smooth provision of multimedia services over IP networks [6][7][8]. Therefore, previous studies have mainly focused on the original quality of the multimedia service and the quality of its delivery.…”

Section: Introductionmentioning

confidence: 99%

QoE-Aware Mobility Management Scheme

Kim¹

2016

Journal of information and communication convergence engineerin

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In this paper, we introduce a quality of experience (QoE)-provisioning mobility management scheme. The emphasis is on a mobility-aware QoE solution enabling network components to recognize the mobility pattern of an end-user and to prepare a handover in advance. We further focus on an energy-adaptive QoE solution based on the energy profile providing the preferred pattern of energy consumption and an energy preference check engine determining whether the provision of the service that the end-user requested is suitable to QoE or not. Lastly, we concentrate on a network-based intelligent mobility management scheme adopting the calm service and the balance. Consequently, we conclude that the proposed schemes improve the handover latency, QoE metrics, and energy efficiency simultaneously.

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“…In this context where we are talking about network survivability [1][2], the problems concerning failure resistance or cyber-attack are primordial. There are also other solutions as those based on autonomic networks [3][4] which consist to limit human interactions with the network. But these technics are not natively implemented in routers because of the long convergence time to a new steady state of autonomic systems.…”

Section: Introductionmentioning

confidence: 99%

IP/MPLS network modeling using Bayesian networks to improve double failure recovery

Pirlot

Gnaedinger

Lepage

et al. 2015

2015 International Conference on Industrial Engineering and Systems Management (IESM)

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Protocols engineering of IP/MPLS networks are constantly improving with new separated features and new resilience mechanisms. In the transportation of audiovisual signals domain we must compose with multicast protocols which are designed from other scientific developments. This audiovisual traffic due to his non springy nature presents a very huge sensitivity to network recovery after a failure and these effects can be amplified by end devices (encoding, decoding and MPEG IP encapsulation). In this way when we choose between engineering solutions the unique criterion of availability is not enough, we must complete by an impact analysis on the service made by the network resilience technics. In this paper, we propose a first approach to analyze the behavior of different protocols engineering to improve selection. We propose using Bayesian networks to compare performance on different criteria and we will illustrate with two engineering models. The results focus on a real improvement of availability by choosing the adapted engineering solution.

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ANEMA: Autonomic network management architecture to support self-configuration and self-optimization in IP networks

Cited by 55 publications

References 13 publications

On computational infraestruture requirements to smart and autonomic cities framework

On computational infraestruture requirements to smart and autonomic cities framework

QoE-Aware Mobility Management Scheme

IP/MPLS network modeling using Bayesian networks to improve double failure recovery

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