Autonomic Communications in Software-Driven Networks

Zhao, Zhongliang; Schiller, Eryk; Kalogeiton, Eirini; Braun, Torsten; Stiller, Burkhard; Garip, Mevlut Turker; Joy, Joshua; Gerla, Mário; Akhtar, Nabeel; Matta, Ibrahim

doi:10.1109/jsac.2017.2760354

Cited by 27 publications

(17 citation statements)

References 54 publications

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“…This is because SDN provides flexibility and programmability by separating the network infrastructure into planes together with the centralization of control functions, where each plane can be programmed to meet particular application requirements [16]. The SDN controller is responsible for all control and management functions in a centralized way [17].…”

Section: Reference Architecture For Fog-enabled Vsdnmentioning

confidence: 99%

Vehicular software-defined networking and fog computing: Integration and design principles

et al. 2019

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Vehicular Networks (VN) enable the collaboration among vehicles and infrastructure to deliver network services, where usually value-added services are provided by cloud computing. In this context, fog computing can be deployed closer to the users to meet their needs with minimum help from the Internet infrastructure. Software Defined Networking (SDN) might support the use of large-scale fog-enabled VN services. However, the current management of each wireless network that composes the VN has restricted the exploration of fogenabled VN services. Therefore, the design principles for a VN architecture is still an open issue, mainly because it is necessary to address the diversity of VN fog applications. In this article, we investigate the design principles for fog-enabled Vehicular Software Defined Networking (VSDN) focusing on the perspectives of the systems, networking, and services. We evaluated these design principles in a use case of a traffic management system for a fast traffic accident rescue, using real traffic accident data. Finally, potential research challenges and opportunities for integrated use fog-enabled VSDN are discussed.

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Section: Reference Architecture For Fog-enabled Vsdnmentioning

confidence: 99%

Vehicular software-defined networking and fog computing: Integration and design principles

et al. 2019

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“…Some individual papers have focused on the autonomic network management from different view points. Zhao et al [161] have researched the autonomic Theoretical Foundation computing in the SDN/NFV-based-networks (the virtualization of the mobile network management). They have recognized some challenges that need attention in the future research of autonomic network management: 1) machine learning algorithms and their combinations should be examined for specific optimization scenarios and 2) decentralized and interoperable Operations Support System (OSS) (including network management systems) should be evaluated and policy integration among them should be redesigned.…”

Section: Network Managementmentioning

confidence: 99%

Correlation-Based Feature Mapping of Crowdsourced LTE Data

Apajalahti

Walelgne

Manner

et al. 2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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“…For the purpose of generality, we had to analyze the SDN features against Autonomic Computing properties. The authors in [15] discussed the autonomy of SDN communication in conjunction with NFV (Network Functions Virtualization). They focused on subjects such as testing and integration network functions.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

BinSahaq

Sheltami

2019

IEEE Access

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In today's Internet, killer network services and applications, such as video and audio streaming, network storage, and online video games, are pushing the network infrastructure resources to the edge. By design and for the most part, the Internet is the best offer delivery ecosystem with little or no endto-end quality-of-service (QoS) guarantees. Even, frameworks, such as IntServ and DiffServ that were designed and implemented to provide QoS guarantees, still fail to solve this problem at a wide scale. Software-defined networking (SDN) is a fast emerging networking paradigm that promises to provide endto-end QoS guaranteeing by offering greater network flexibility, abstraction, control, and programmability to network resources. In this paper, we review, survey, and discuss the current state of the art on QoS provisioning in the area of SDN, with respect to applying the concept of autonomic computing (AC) to automatically support, provision, monitor, and maintain QoS requirements. This paper includes in-depth classification, taxonomy, and comparative analysis for the autonomic-based QoS provisioning in accordance with the famous influential and widely adopted the monitor-analyze-plan-execute-knowledge (MAPE-K) IBM architectural model for autonomic computing.

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Autonomic Communications in Software-Driven Networks

Cited by 27 publications

References 54 publications

Vehicular software-defined networking and fog computing: Integration and design principles

Vehicular software-defined networking and fog computing: Integration and design principles

Correlation-Based Feature Mapping of Crowdsourced LTE Data

A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

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