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Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture

Christopher Simpkin, Ian Taylor, Daniel Harborne, Graham Bent, Alun Preece, Ragu K. Ganti
2018 2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)  
Our cognitive services use a Vector Symbolic Architecture to semantically represent service descriptions and workflows in a way that can be unraveled on the fly without any central point of control.  ...  In this work, we demonstrate the feasibility of such an approach by showing how we can migrate a Node-RED based traffic congestion workflow into a decentralized environment.  ...  Ministry of Defence or the U.K. Government. The U.S. and U.K. Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.  ... 
doi:10.1109/works.2018.00011 fatcat:4dp65kt435golpov6ucumnrhly

READ-IoT: Reliable Anomalies and Events Detection Framework for the Internet of Things

Aymen Yahyaoui, Takoua Abdellatif, Sami Yangui, Rabah Attia
2021 IEEE Access  
As for validation, READ-IoT was implemented and evaluated using two real life applications, i.e. a fire detection and an unauthorized person detection applications.  ...  This paper introduces a Reliable Event and Anomaly Detection Framework for the Internet of Things (READ-IoT for short).  ...  Drira, the Head of SARA research team and at LAAS-CNRS, for his support.  ... 
doi:10.1109/access.2021.3056149 fatcat:bshbteukqrdijltlnm3un7326u

SmartWater: A Service-Oriented and Sensor Cloud-Based Framework for Smart Monitoring of Water Environments

Haithem Mezni, Maha Driss, Wadii Boulila, Safa Ben Atitallah, Mokhtar Sellami, Nouf Alharbi
2022 Remote Sensing  
A real-world dataset has been used in this study to experimentally validate the major features of the proposed smart water monitoring framework.  ...  In this context, a novel IoT-based framework is proposed to support smart water monitoring and management.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14040922 fatcat:bfunhlmtara35i56m5iunupqr4

D3.1 Final System Architecture, Programming Interfaces And Security Framework Specification

Carlos Parada, Francisco Fontes, Isabel Borges, Omer Gurewitz, Asaf Cohen, Philip Eardley, Andy Reid, Giuseppe Bianchi, Nicola Blefari Melazzi, Luca Chiaraviglio, Pierpaolo Loreti, Stefano Salsano (+23 others)
2018 Zenodo  
This deliverable provides the specification of the architecture, APIs and the security framework designed by the Superfluidity project.  ...  Hence the actual control and orchestration of IoT devices and units will be implemented on virtualized manner as a dedicated IoT VNF.  ...  Applications are the most dynamic entities of the MEC Architecture.  ... 
doi:10.5281/zenodo.1230494 fatcat:sockptarwjhq7gciqicfzemm5i

A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

Abdul Majid Farooqi, M. Afshar Alam, Syed Imtiyaz Hassan, Sheikh Mohammad Idrees
2022 Applied Sciences  
We decreased the data latency by 20% compared to the experiment carried using only cloud computing architecture.  ...  We also reduced the processing delay by 35% compared with the utilization of cloud computing architecture.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12042083 fatcat:cdv7quyi7vdc3ccjymszjwi6o4

BigDataStack - D2.6 Conceptual model and Reference architecture - III

Dimosthenis Kyriazis, Mauricio Fadel Argerich, Orlando Avila-García, Ainhoa Azqueta, Bin Cheng, Ismael Cuadrado-Cordero, Christos Doulkeridis, Kostas Giannakopoulos, Gal Hammer, Ricardo Jimenez, Michele Iorio, Konstantinos Kalaboukas (+19 others)
2020 Zenodo  
This deliverable is a refinement of the key functionalities of the overall architecture, the interactions between the main building blocks and their components, as they were described in the previous version  ...  of the architecture (Deliverable D2.5 - Conceptual model and Reference architecture II).  ...  Components Figure 12 - 12 Dynamic Orchestrator Detailed View Figure 13 - 13 High-level class diagram of the Dynamic Orchestrator Figure 14 - 14 Triple Monitoring Engine architecture diagram •  ... 
doi:10.5281/zenodo.4004585 fatcat:tiocxddpunerdkdh67qc5hhvzq

BigDataStack - D2.4 Conceptual model and Reference architecture

Dimosthenis Kyriazis, Orlando Avila-García, Konstantinos Chaidogiannos, Bin Cheng, Ismael Cuadrado-Cordero, Christos Doulkeridis, Eleni Fotopoulou, Jonathan Fuerst, Konstantinos Giannakakis, Kostas Giannakopoulos, Gal Hammer, Ricardo Jimenez (+17 others)
2020 Zenodo  
This deliverable describes the key functionalities of the overall architecture, the interactions between the main building blocks and their components,  ...  As such, the main challenges of the dynamic orchestrator are: Figure 12 depicts a more detailed view of the dynamic orchestrator.  ...  There is a wide range of versatile flow-based programming tools that fit well the requirements for constituting the basis for the data toolkit, such as Node-Red [20] .  ... 
doi:10.5281/zenodo.4004254 fatcat:dm2x6dwz4jbkzgart5zpyeguqi

Supporting Intelligence in Disaggregated Open Radio Access Networks: Architectural Principles, AI/ML Workflow and Use Cases

Anastasios Giannopoulos, Sotirios Spantideas, Nikolaos Kapsalis, Panagiotis Gkonis, Lambros Sarakis, Christos Capsalis, Massimo Vecchio, Panagiotis Trakadas
2022 IEEE Access  
We schematically demonstrate the AI/ML workflow for both ML-assisted algorithms through the usage of xApps running on the Radio Intelligent Controller (RIC), as well as we outline the role of the O-RAN  ...  the training data of an open dataset and (ii) a Deep Reinforcement Learning (DRL) based algorithm for energy-efficiency maximization using a 5G-compliant simulator to obtain RAN measurements.  ...  Special thanks to Simon Pryor for his contribution to Near-RT RIC architecture. VOLUME 10, 2022  ... 
doi:10.1109/access.2022.3166160 fatcat:vlr7boftxvc7tluax6i7yfrn5i

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

Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta, H. Anthony Chan
2017 Computer Communications  
Proper chaining of network functions leads to optimal utilization of distributed resources.  ...  In this work, we study the problem of deploying service function chains over network function virtualized architecture.  ...  ACKNOWLEDGEMENT This work has been supported under the grant ID NPRP 6 -901 -2 -370 for the project entitled "Middleware Architecture for Cloud Based Services Using Software Defined Networking (SDN)",  ... 
doi:10.1016/j.comcom.2017.02.011 fatcat:3ncqphpw4vhelpyq4hga6yiwrq

D2.3 Platform Requirements - Final

Stephen Parker
2019 Zenodo  
The technology developed by the project will be evaluated in a number of trials, spanning several application domains.  ...  It then goes on to describe the specific target scenarios that will be used to evaluate the technology within each application domain, and how the success of each trial will be judged.  ...  The aim is to migrate this to a distributed micro-service architecture, using unikernels for some aspects, with orchestration using ProxMox or Kubernetes, on x86-based hardware.  ... 
doi:10.5281/zenodo.3518124 fatcat:4pmyz5cwqjh2zfzqy4goo23vnm

The Roadmap to 6G Security and Privacy

Pawani Porambage, Gurkan Gur, Diana Pamela Moya Osorio, Madhusanka Liyanage, Andrei Gurtov, Mika Ylianttila
2021 IEEE Open Journal of the Communications Society  
In particular, we discuss the security considerations with 6G enabling technologies such as distributed ledger technology (DLT), physical layer security, distributed AI/ML, visible light communication  ...  All in all, this work intends to provide enlightening guidance for the subsequent research of 6G security and privacy at this initial phase of vision towards reality.  ...  The Commission is not responsible for any use that may be made of the information it contains. A.  ... 
doi:10.1109/ojcoms.2021.3078081 fatcat:r5g662rcxjcgvjfc2el3lesdzy

D4.1 METRO-HAUL Control and Management Requirements and Framework

Ramon Casellas, Ricardo Martínez, Ricard Vilalta, Raül Muñoz, Michela Svaluto, Luis Velasco, Gabriel Junyent, Jaume Comellas, Marc Ruiz, Francisco Javier Moreno Muro, Miquel Garrich, Pablo Pavón (+18 others)
2018 Zenodo  
The METRO-HAUL control, orchestration and management system that enables the dynamic provisioning of services, such as network data connectivity or network slicing instances, is presented from a high-level  ...  D4.1 covers a preliminary specification of the interfaces in view of integration and interoperability, listing selected components to be developed and to be integrated in demonstration scenarios.  ...  NFV-Orchestrator SDN control of Metro-Haul nodes Virtual Infrastructure Manager - VIM Distributed Cloud - Compute Control of Metro-Haul nodes Controller Sublayer VNF 1 VNF2 VNF3 NETWORK  ... 
doi:10.5281/zenodo.2586712 fatcat:db2lgebgy5c2tn3i3stsgvqzqu

D2.3 Network Architecture Definition, Design Methods and Performance Evaluation

António Eira, João Pedro, Marc Ruiz, Luis Velasco, Jaume Comellas, Gabriel Junyent, Ramon Casellas, Raül Muñoz, Laia Nadal, Michela Svaluto Moreolo, Marco Quagliotti, Anna Chiadò Piat (+25 others)
2019 Zenodo  
Additionally, it describes the network design methods developed to plan and optimize metro networks based on these architectures, and provides early comparative performance evaluations of the proposed  ...  architectures.  ...  In the top-left part of Figure 8 a legend is given for the symbols used for nodes and for the UPF function.  ... 
doi:10.5281/zenodo.3496938 fatcat:3duf4xxqdfg5xgri57krrlmz5u

5G PPP Architecture Working Group - View on 5G Architecture, Version 2.0

Simone Redana, Ömer Bulakci, Alex Galis, Rolf Blom, Ishan Vaishnavi, David Gutierrez Estevez, Olav Queseth, Stefano Salsano, John Thomson, Anastasius Gavras
2017 Zenodo  
Capitalizing on the architectural vision and framework set by the first version of the white paper, this Version 2.0 of the white paper presents the latest findings and analyses with a particular focus  ...  The 5G Architecture Working Group as part of the 5GPPP Initiative is looking at capturing novel trends and key technological enablers for the realization of the 5G architecture.  ...  For example, by selecting a nomadic node out of 20 randomly distributed nomadic nodes in a macrocell closer to a hotspot, the downlink 10 percentile user throughputs is improved by around 150% relative  ... 
doi:10.5281/zenodo.3515142 fatcat:nbulamu7ojdyzchftnsrcvpaai

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas.  ...  The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure.  ...  The edge caching problem is also addressed in [400] , where He et al. architect a DQN agent to perform dynamic orchestration of networking, caching, and computing.  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde
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