A Framework for Next Generation Cloud-Native SDN Cognitive Resource Orchestrator for IoTs (NG2CRO)

Janjua, Hafiza Kanwal; Miguel, Ignacio de; Barroso, Ramón J. Durán; Masoumi, Maryam; Hosseini, Soheil; Aguado, Juan Carlos; Merayo, Noemí; Abril, Evaristo J.

doi:10.1007/978-3-031-38318-2_39

Cited by 2 publications

References 13 publications

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An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes

Su,

Tolba,

et al. 2023

IEEE Access

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In the context of high-speed networks with 5G and 6G, the influx of user requests under variable usage scenarios puts great pressure on the monolithic architecture, and quality of service (QoS) is gradually not guaranteed. Placing low-coupling, high-efficiency microservices on satellite edge computing nodes with wide coverage is a good solution, but the exponential increase of users and edge nodes accessing communication networks in recent years has gradually highlighted the importance of proper placement and effective management of microservices. The existing studies generally fail to achieve autonomous management of microservices in a variable and complex network environment, and the few studies on autonomous management of microservices are limited to achieving autonomous placement without constraints among microservices. The quality of service and operation cost will not be guaranteed when facing a large number of network requests at the same time. This paper addresses the much-needed problem of modeling microservice placement in satellite edge nodes as a network embedding problem and effectively captures the features that affect microservice placement performance using the attention mechanism in graph neural networks. Simulation experimental results illustrate the effectiveness of the research content of this paper for the automatic management of microservices in satellite networks, while the proposed scheme in this paper performs well in terms of success rate and the benefit-overhead ratio of microservice placement.INDEX TERMS Software defined networking (SDN), edge computing, microservice management

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An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes

Su,

Tolba,

et al. 2023

IEEE Access

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NFV and Secure Cognitive SDN for Educational Backbone Network Deployment

Majid,

Khuhawar,

Muhammad

et al. 2024

Advances in Wireless Technologies and Telecommunication

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Software defined networks (SDN) and wireless cognitive radio networks (CRN) are examined within the context of dynamic spectrum management. The features include control and data plane separation, centralized control, adopting open-source standards, programmability, quality of service (QoS) management, and security. The transformative impact of network function virtualization (NFV) is explored with a perspective on its architecture and applications in SDN, internet of things (IoT), cloud computing, and blockchain. The security aspect of SDN with specific focus on mitigating denial-of-service (DoS) attacks and vulnerabilities associated with open flow protocol is also addressed. The cognitive-inspired security mechanisms adapt to evolving threats integrating machine learning (ML) and artificial intelligence (AI) based algorithms for dynamic threat detection and mitigation exemplified through case studies. Adoption of software-defined perimeter, zero trust, blockchain, and quantum-safe cryptography in future are discussed. Finally, SDN applications for IoT networks are discussed.

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A Framework for Next Generation Cloud-Native SDN Cognitive Resource Orchestrator for IoTs (NG2CRO)

Cited by 2 publications

References 13 publications

An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes

An Attention Mechanism-Based Microservice Placement Scheme for On-Star Edge Computing Nodes

NFV and Secure Cognitive SDN for Educational Backbone Network Deployment

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