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A conceptual-driven survey on future internet requirements, technologies, and challenges

Antonio Marcos Alberti
2013 Journal of the Brazilian Computer Society  
Each of these projects has a particular focus and its own set of design requirements and key technologies.  ...  The panorama shows a wide diversity of pre-requirements and arguments, some very specific and superficial, others more general and deep.  ...  It avoids the complicated distributed states approach used today in many networks. The output of the control program is a networking configuration map.  ... 
doi:10.1007/s13173-013-0101-2 fatcat:5akftmotn5b6nm5t4erk7thq7y

Horizon Targeted Loss-Based Diverse Realistic Marine Image Generation Method Using a Multimodal Style Transfer Network for Training Autonomous Vessels

Jisun Park, Tae Hyeok Choi, Kyungeun Cho
2022 Applied Sciences  
styles using a single network.  ...  Additionally, the design of the proposed network architecture involves a one-to-many style mapping technique, which is based on the multimodal style transfer method to generate marine images of diverse  ...  Moreover, this loss enhances the AI-based learning performance of autonomous vessels by enhancing the marine image extracted by this network from a virtual simulator such that it resembles a variety of  ... 
doi:10.3390/app12031253 fatcat:snp3dbmyufe7hpb34ystfaccke

The SELFNET approach to Self-Protection through Autonomic Network Management

Maria Joao Barros Weiss, Anastasius Gavras, Gregorio Martinez Perez, Manuel Gil Pérez, Qi Wang, Jose Alcaraz-Calero, Pedro Neves, Rui Calé
2016 Zenodo  
A contribution to meeting the KPIs and to reduce OPEX is to evolve the management of the network into a fully autonomic and intelligent framework.  ...  Based on advanced technologies, such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV), the EU H2020 project SELFNET is proposing a sophisticated management framework to achieve  ...  in Virtualized and Software-Defined Networks).  ... 
doi:10.5281/zenodo.2572460 fatcat:fmy5ikudsrgnraacojfp73ns5a

Open the Way to Future Networks – A Viewpoint Framework from ITU-T [chapter]

Daisuke Matsubara, Takashi Egawa, Nozomu Nishinaga, Myung-Ki Shin, Ved P. Kafle, Alex Galis
2013 Lecture Notes in Computer Science  
centric networking (ICN), cloud networking, autonomic management, and open connectivity.  ...  Advancements concerning research and development of Future Networks (FNs) technologies have been introduced in recent years, such as network virtualization and software defined/driven network (SDN), information  ...  This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original  ... 
doi:10.1007/978-3-642-38082-2_3 fatcat:nt6sw2hqcjahpkf7tedvhlp2we

Information Modeling And Semantic Linking For A Software Workbench For Interactive, Time Critical And Self-Adaptive Cloud Applications

Paul Martin, Arie Taal, Francisco Quevedo, David Rogers, Kieran Evans, Andrew Jones, Vlado Stankovski, Salman Taherizadeh, Jernej Trnkoczy, George Suciu, Zhiming Zhao
2016 Zenodo  
A semantic linking framework is presented that uses a multiple-viewpoint model of a cloud application workbench as a means to relate different cloud and quality of service standards in order to aid the  ...  Semantic linking can enhance interoperability by creating mappings between different vocabularies and specifications, allowing different technologies to be plugged together, which can then be used to build  ...  SWITCH Interac3ve Development Environment • Improve the deployment and provisioning efficiency by introducing Distributed Run3me Infrastructure Planner • Improve the QoS/QoE control efficiency by Autonomous  ... 
doi:10.5281/zenodo.205168 fatcat:cqcpitaz7nf2lnapx7emq5r5ha

The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm

Pedro Neves, Rui Calé, Mário Rui Costa, Carlos Parada, Bruno Parreira, Jose Alcaraz-Calero, Qi Wang, James Nightingale, Enrique Chirivella-Perez, Wei Jiang, Hans Dieter Schotten, Konstantinos Koutsopoulos (+2 others)
2016 International Journal of Distributed Sensor Networks  
Based on the cutting-edge technologies, such as Software-Defined Networking and Network Function Virtualization, a novel management framework upon the software-defined and Virtualized Network is proposed  ...  Hence, shifting today's manual and semi-automatic network management into an autonomic and intelligent framework will play a vital role in the upcoming 5G system.  ...  in Virtualized and Software-Defined Networks).  ... 
doi:10.1155/2016/2897479 fatcat:bofynpqzxndybn6s54kjpsyuva

Enabling Autonomic Grid Applications: Dynamic Composition, Coordination and Interaction [chapter]

Zhen Li, Manish Parashar
2005 Lecture Notes in Computer Science  
This paper introduces AutoMate architecture and describes the Rudder coordination framework and its use in enabling autonomic behaviors.  ...  The increasing complexity, heterogeneity and dynamism of networks, systems and applications have made our computational and information infrastructure brittle, unmanageable and insecure.  ...  COMET has been deployed in a distributed network of 64 Linux-based computers in Rutgers University.  ... 
doi:10.1007/11527800_21 fatcat:exlxz4cf4bgproppcnv2sdqcee

Real-to-Virtual Domain Unification for End-to-End Autonomous Driving [article]

Luona Yang, Xiaodan Liang, Tairui Wang, Eric Xing
2018 arXiv   pre-print
Our framework has three unique advantages: 1) it maps driving data collected from a variety of source distributions into a unified domain, effectively eliminating domain shift; 2) the learned virtual representation  ...  In this work, we address the above limitations by taking advantage of virtual data collected from driving simulators, and present DU-drive, an unsupervised real-to-virtual domain unification framework  ...  Conclusion We propose a real to virtual domain unification framework for autonomous driving, or DU-drive, that employs a conditional generative adversarial network to transform real driving images to their  ... 
arXiv:1801.03458v2 fatcat:374kkunrlrg4zpad6fhwvd7rb4

Virtual to Real Reinforcement Learning for Autonomous Driving [article]

Xinlei Pan, Yurong You, Ziyan Wang, Cewu Lu
2017 arXiv   pre-print
It is more desirable to first train in a virtual environment and then transfer to the real environment.  ...  The proposed network can convert non-realistic virtual image input into a realistic one with similar scene structure.  ...  It may be distributed unchanged freely in print or electronic forms. arXiv:1704.03952v4 [cs.AI] 26 Sep 2017 Figure 1 : Framework for virtual to real reinforcement learning for autonomous driving.  ... 
arXiv:1704.03952v4 fatcat:jpf3nidnifct7i64fbfjwtgdra

Real-to-Virtual Domain Unification for End-to-End Autonomous Driving [chapter]

Luona Yang, Xiaodan Liang, Tairui Wang, Eric Xing
2018 Lecture Notes in Computer Science  
Our framework has three unique advantages: 1) it maps driving data collected from a variety of source distributions into a unified domain, effectively eliminating domain shift; 2) the learned virtual representation  ...  In this work, we address the above limitations by taking advantage of virtual data collected from driving simulators, and present DU-drive, an unsupervised real-tovirtual domain unification framework for  ...  Conclusion We propose a real to virtual domain unification framework for autonomous driving, or DU-drive, that employs a conditional generative adversarial network to transform real driving images to their  ... 
doi:10.1007/978-3-030-01225-0_33 fatcat:hnqrcrw4nfhkjegl2rpgynkrsu

Towards In-Network Clouds in Future Internet [chapter]

Alex Galis, Stuart Clayman, Laurent Lefevre, Andreas Fischer, Hermann de Meer, Javier Rubio-Loyola, Joan Serrat, Steven Davy
2011 Lecture Notes in Computer Science  
It also presents the designs and experiments with a number of In-Network Clouds platforms, which have the aim to create a flexible environment for autonomic deployment and management of virtual networks  ...  This paper aims to explore the architectural co-existence of new and legacy services and networks, via virtualisation of connectivity and computation resources and self-management capabilities, by fully  ...  This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original  ... 
doi:10.1007/978-3-642-20898-0_2 fatcat:2modv7jf7vdmndog3c2yhgnva4

Distributed AI-based Security for Massive Numbers of Network Slices in 5G & Beyond Mobile Systems

Benzaid Chafika, Tarik Taleb, Cao-Thanh Phan, Christos Tselios, George Tsolis
2021 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)  
The framework leverages the potential of Security as a Service (SECaaS) and Artificial Intelligence (AI) to foster fully-distributed, autonomic and fine-grained management of network slicing security from  ...  The envisioned massive deployment of network slices in 5G and beyond mobile systems makes the shift towards zerotouch, scalable and secure slice lifecycle management a necessity.  ...  scalable and autonomic management of network slicing security in 5G and beyond networks and that is in a distributed fashion.  ... 
doi:10.1109/eucnc/6gsummit51104.2021.9482418 fatcat:mrbbontum5ayvoc4bjrcdgavma

A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving [article]

Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli
2018 arXiv   pre-print
We present a framework to rapidly create point clouds with accurate point-level labels from a computer game.  ...  The framework supports data collection from both auto-driving scenes and user-configured scenes.  ...  In [24] , a framework is proposed to systematically analyze Convolutional Neural Networks (CNNs) used in objection detection in autonomous driving systems.  ... 
arXiv:1804.00103v1 fatcat:gi56vyqimjdadj2crflxkulyey

Distributed Virtual Network Embedding for Software-Defined Networks Using Multiagent Systems

Ali Akbar Nasiri, Farnaz Derakhshan, Shahram Shah Heydari
2021 IEEE Access  
This framework could be used to run a centralized VNE algorithm in a distributed manner to scale these algorithms with respect to network size.  ...  Consequently, virtual node mapping and virtual link mapping are two steps of virtual network embedding.  ...  Section V presents our distributed virtual network embedding for software-defined networks using a multi-agent systems framework called DVSDNE.  ... 
doi:10.1109/access.2021.3050922 fatcat:wopce3vi4nbjjcxnyamg4txgu4

Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems [article]

Jorge Peña Queralta, Li Qingqing, Zhuo Zou, Tomi Westerlund
2020 arXiv   pre-print
We overview the state-of-the-art in MEC slicing, distributed robotic systems and blockchain technology to define a framework for services the MEC layer that will enhance the autonomous operations of connected  ...  We argue that the last piece to put together a services framework with third-party integration will be next-generation low-latency blockchain networks.  ...  ACKNOWLEDGEMENTS This work was supported by the Academy of Finland's AutoSOS project with grant number 328755, the NSFC grant number 61876039, and the Shanghai Platform for Neuromorphic and AI Chips (NeuHeilium  ... 
arXiv:2007.01156v1 fatcat:rmwqquu2qbhwlonqxrrestzc4u
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