Optimal virtual network function placement in multi-cloud service function chaining architecture

TL;DR: This work discusses the major works, from industry and academia towards the development of the secure ICSs, especially applicability of the machine learning techniques for the ICS cyber-security and may help to address the challenges of securing industrial processes, particularly while migrating them to the cloud environments.

TL;DR: In this article, the authors propose a resource allocation architecture which enables energy-aware service function chaining (SFC) for SDN-based networks, considering also constraints on delay, link utilization, server utilization.

TL;DR: This paper first uses the full mesh aggregation approach to construct an abstracted network to guide the orchestration process, and then proposes two efficient methods for SFC partitioning, and proposes two heuristic algorithms for deploying the sub-chains in multiple domains.

TL;DR: A queuing-based system model is presented, accounting for all the entities involved in 5G networks, and it is found to consistently outperform state-of-the-art alternatives and closely match the optimum.

TL;DR: This tutorial gives an overview of the basic ideas underlying Support Vector (SV) machines for function estimation, and includes a summary of currently used algorithms for training SV machines, covering both the quadratic programming part and advanced methods for dealing with large datasets.

TL;DR: The definitions, architecture, fundamental technologies, and applications of IoT are systematically reviewed and the major challenges which need addressing by the research community and corresponding potential solutions are investigated.

TL;DR: This paper presents an in-depth analysis of the hardware infrastructure, southbound and northbound application programming interfaces (APIs), network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications, and presents the key building blocks of an SDN infrastructure using a bottom-up, layered approach.

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