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Ensemble Deep Learning Assisted VNF Deployment Strategy for Next-Generation IoT Services

Mahzabeen Emu, Salimur Choudhury
2021 IEEE Open Journal of the Computer Society  
Our envisioned methods, based on Convolutional Neural Networks and Artificial Neural Networks named as E-ConvNets and E-ANN respectively, suggest two proactive VNF deployment strategies.  ...  Overall, multi-access edge computing can intensify the performance of delay-sensitive IoT applications compared to the core cloud based VNF deployments.  ...  Artificial 75 neural networks-based machine learning for wireless networks: in 2017. She is currently pursuing 96 her M.Sc. in Computer Science at Lakehead Univer-97 sity.  ... 
doi:10.1109/ojcs.2021.3098462 fatcat:mycl3xng55hnjkhczkb46axa5u

Research challenges in nextgen service orchestration

Luis M. Vaquero, Felix Cuadrado, Yehia Elkhatib, Jorge Bernal-Bernabe, Satish N. Srirama, Mohamed Faten Zhani
2019 Future generations computer systems  
Full terms of use are available: Abstract Fog/edge computing, function as a service, and programmable infrastructures, like software-defined networking or network function virtualisation, are becoming  ...  These changes bring new requirements for service orchestrators, which need to evolve so as to support new scenarios where a close interaction between service and infrastructure becomes essential to deliver  ...  Acknowledgements The authors thank Gordon S Blair for his insightful comments on prior versions of this manuscript.  ... 
doi:10.1016/j.future.2018.07.039 fatcat:x3zrha4nt5ggpdvn3p3f7cki3y

Research Challenges in Nextgen Service Orchestration [article]

Luis M. Vaquero and Felix Cuadrado and Yehia Elkhatib and Jorge Bernal-Bernabe and Satish N. Srirama and Mohamed Faten Zhani
2018 arXiv   pre-print
Fog/edge computing, function as a service, and programmable infrastructures, like software-defined networking or network function virtualisation, are becoming ubiquitously used in modern Information Technology  ...  These changes bring new requirements for service orchestrators, which need to evolve so as to support new scenarios where a close interaction between service and infrastructure becomes essential to deliver  ...  Acknowledgement The authors thank Gordon S Blair for his insightful comments on prior versions of this manuscript.  ... 
arXiv:1806.00764v2 fatcat:a6nj556s6zaldhktwux3j4iswe

CURATE: On-Demand Orchestration of Services for Health Emergencies Prediction and Mitigation

Jordi Serra, David Pubill, Christos Verikoukis
2020 Zenodo  
Telemedicine, or the ability granted to doctors to remotely assist patients has been greatly benefited by advances in IoT, network communications, Machine Learning and Edge/Cloud computing.With the impeding  ...  In this work we coalesce the virtues of virtualized infrastructures and IoT into a solution able to satisfy increasing data processing demands for eHealth, e.g. for telemedicine applications, remote assistance  ...  They consider IoT devices that generate health data, then such raw data is sent to edge servers that implement the ECG classification based on a DL algorithm consisting of a Convolutional Neural Network  ... 
doi:10.5281/zenodo.4432616 fatcat:zgqjnlmwvranbblzfx7ha3tj2u

Intelligent and Agile Control of Edge Resources for Latency-Sensitive IoT Services

Ved P. Kafle, Abu Hena Al Muktadir
2020 IEEE Access  
As a use case of latency-sensitive VNFs, we selected an Internet-of-things directory service (IoT-DS) function [9] , which can store millions of name records of IoT devices and provide a fast lookup service  ...  Therefore, we propose a scheme for the intelligent and agile control of resources for latency-sensitive IoT service functions deployed in edge clouds.  ... 
doi:10.1109/access.2020.3038439 fatcat:ceou2cfbbjg4zjpthtyljewmoi

Orchestrator design, service programming and machine learning models ((D4.1)

Hazmeh Khalili, Papageorgiou, Shuaib Siddiqui, Julio Barrera, Felipe Huici, Kenichi Yasukata, Nicola Ciulli, Paolo Cruschelli, Elian Kraja, Elio Francesconi, Ricardo Preto, Antonino Albanese (+5 others)
2019 Zenodo  
Our orchestration, service programming, and machine learning components are vital for addressing challenges of state-of-the-art 5G orchestrators and platforms, such as multi-tenancy support and efficient  ...  The overall 5GCity architecture is described in Deliverable D2.2 [1] and based on pilot requirements introduced in Deliverable D2.1 [2].  ...  Network-aware application placement is closely tied to Virtual Network Embedding (VNE) [33] . An example of a network-aware approach is the work from [34] .  ... 
doi:10.5281/zenodo.2558306 fatcat:sphrcwb7pvc3pnxiaey6yh4cki

IoT service slicing and task offloading for edge computing [article]

JaeYoung Hwang, Lionel Nkenyereye, NakMyoung Sung, JaeHo Kim, JaeSeung Song
2020 arXiv   pre-print
This architecture guarantees not only low latency but also efficient management of IoT services at the edge node.  ...  As the instance provides its service at the edge node where the MEC node and network slice are located, the traffic for the end-user does not need to traverse back to the cloud.  ...  For instance, if an IoT device using IoT services from the edge nodes, data on the IoT device, distributed edges and the central IoT platform should be the same based on sychronization mechanisms.  ... 
arXiv:2008.10210v1 fatcat:e22ufkmfefexnbcple55tinwfq

Methods and Techniques for Dynamic Deployability of Software-Defined Security Services [article]

Roberto Doriguzzi-Corin
2020 arXiv   pre-print
The study is approached from the perspective of the telecom operator, whose goal is to protect the customers from network threats and, at the same time, maximize the number of provisioned services, and  ...  network functions running on high performance servers or on commodity compute devices.  ...  On the other hand, given the increasing number of DDoS attacks involving compromised IoT devices, provisioning an IPS at the edge might be required for detecting and blocking the DDoS traffic as soon as  ... 
arXiv:2004.02876v1 fatcat:apaxjkq3qzb6ragrpt3izpucpa

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Alcardo Alex Barakabitze, Nabajeet Barman, Arslan Ahmad, Saman Zadtootaghaj, Lingfen Sun, Maria G. Martini, Luigi Atzori
2019 IEEE Communications Surveys and Tutorials  
We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for  ...  service management in softwarized networks.  ...  As an extension of the cloud computing paradigm, Fog enables computing at the edge of the network (e.g., closer to IoT and/or the end-user devices).  ... 
doi:10.1109/comst.2019.2958784 fatcat:7bgzl5rpmfgedo5e5psz7i3t4a

Deep Learning at the Mobile Edge: Opportunities for 5G Networks

Miranda McClellan, Cristina Cervelló-Pastor, Sebastià Sallent
2020 Applied Sciences  
for 5G networks.  ...  Machine Learning (ML) is leveraged within mobile edge computing to predict changes in demand based on cultural events, natural disasters, or daily commute patterns, and it prepares the network by automatically  ...  In [69] , the authors propose an effective approach for collecting globally available resource information through a mobile network architecture based on the SDN.  ... 
doi:10.3390/app10144735 fatcat:ytrnh35x6zbxbki3zg435xqacu

Cloud-Native Network Slicing using Software Defined Networking based Multi-Access Edge Computing: A Survey

Syed Danial Ali Shah, Mark A. Gregory, Shuo Li
2021 IEEE Access  
Fifth-Generation (5G) mobile cellular networks provide a promising platform for new, innovative and diverse IoT applications, such as ultra-reliable and low latency communication, real-time and dynamic  ...  We investigate MEC and network slicing for the provision of 5G service focused use cases.  ...  The challenge is to design efficient and new neural network architectures over the wireless link at the network edge to realize the new services. G.  ... 
doi:10.1109/access.2021.3050155 fatcat:u3l3rh7mlnbnbaz2xipcbppmdm

Guest Editorial: In-Network Computing: Emerging Trends for the Edge-Cloud Continuum

Deze Zeng, Nirwan Ansari, Marie-Jose Montpetit, Eve M. Schooler, Daniele Tarchi
2021 IEEE Network  
The widespread of EI asks for the adoption of deep neural network at the edge.  ...  The authors explored how blockchain can be used to design a framework for monitoring service-level agreement compliance of edge devices in offering VNF services.  ... 
doi:10.1109/mnet.2021.9606835 fatcat:jgyacbi7hba3zo466nrb7q3uma

The P-ART framework for placement of virtual network services in a multi-cloud environment

Lav Gupta, Raj Jain, Aiman Erbad, Deval Bhamare
2019 Computer Communications  
Deploying them as virtual network services (VNS) brings the promise of low-cost agile deployments, which reduce time to market new services.  ...  In selecting the appropriate combination of clouds for placement, it is important to look ahead and visualize the environment that will exist at the time a virtual network service is actually activated  ...  This paper is a revised and significantly expanded version of a paper entitled 'COLAP: A Predictive Framework for Service Function Chain Placement in a Multi-cloud Environment' presented at the 7th IEEE  ... 
doi:10.1016/j.comcom.2019.03.003 fatcat:mlvixfsogfayznfzox6b6lecqa

5G support for Industrial IoT Applications – Challenges, Solutions, and Research gaps

Pal Varga, Jozsef Peto, Attila Franko, David Balla, David Haja, Ferenc Janky, Gabor Soos, Daniel Ficzere, Markosz Maliosz, Laszlo Toka
2020 Sensors  
These areas include IIoT applications and their requirements; mobile edge cloud; back-end performance tuning; network function virtualization; and security, blockchains for IIoT, Artificial Intelligence  ...  support for 5G, and private campus networks.  ...  Acknowledgments: The authors would like to thank the PhD course entitled "5G Networks, Services and their Synergies with Industrial IoT" that has conceived many ideas and collaboration related to this  ... 
doi:10.3390/s20030828 pmid:32033076 pmcid:PMC7038716 fatcat:cbsr2pao5bffxooaod3l3rlbfe

Survey on Placement Methods in the Edge and Beyond

Balazs Sonkoly, Janos Czentye, Mark Szalay, Balazs Nemeth, Laszlo Toka
2021 IEEE Communications Surveys and Tutorials  
This paradigm shift has opened the door for telecommunications operators, mobile and fixed network vendors: they have joined the cloud ecosystem as essential stakeholders considerably influencing the future  ...  The optimal hosting environment should be selected based on multiple criteria by novel scheduler algorithms which can cope with the new challenges of distributed cloud architecture where networking aspects  ...  The paper provides an overview on specific orchestration scenarios considering individual services and an edge-cloud platform network, but other edge-related service deployment approaches are not addressed  ... 
doi:10.1109/comst.2021.3101460 fatcat:slisbn4i4ngi5fj6ig2e5he3bi
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