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Hierarchical Federated Learning through LAN-WAN Orchestration [article]

Jinliang Yuan, Mengwei Xu, Xiao Ma, Ao Zhou, Xuanzhe Liu, Shangguang Wang
2020 arXiv   pre-print
Federated learning (FL) was designed to enable mobile phones to collaboratively learn a global model without uploading their private data to a cloud server.  ...  Our proposed FL can accelerate the learning process and reduce the monetary cost with frequent local aggregation in the same LAN and infrequent global aggregation on a cloud across WAN.  ...  Through this hierarchical design, WAN-based aggregation is much less needed and thus the learning can be accelerated.  ... 
arXiv:2010.11612v1 fatcat:oumtgzsck5gqngzxtnxt4l42ai

Dynamic Virtual Network Slicing and Orchestration for Selective MEC Services over Wide-Area SDN

Dongkyun Kim, Yong-Hwan Kim
2020 Algorithms  
The proposed scheme provides an optimized MEC selection model considering end-to-end latency and efficient service resource utilization on the basis of the hierarchical MEC service architecture.  ...  selective MEC resource allocation scheme adopting a multitier architecture over a wide-area software-defined network (SDN) on the basis of our recent research work on virtual network slicing and resource orchestration  ...  and deep learning technologies [4, 5] .  ... 
doi:10.3390/a13100245 fatcat:th7p6kuwvfefhpxeadygsxprce

Network Slicing: Recent Advances, Taxonomy, Requirements, and Open Research Challenges

Latif U. Khan, Ibrar Yaqoob, Nguyen H. Tran, Zhu Han, Choong Seon Hong
2020 IEEE Access  
These challenges are interoperability, mobility-awareness, efficient end-to-end orchestration, and novel business models.  ...  However, privacy preservation is a concern in traditional machine learning, which is satisfied using federated learning.  ...  Federated learning offers learning without moving data from devices to a centralized server, thus preserving user privacy.  ... 
doi:10.1109/access.2020.2975072 fatcat:zdvqh3orajbure36k2dbnlmfae

Network Service Orchestration: A survey

Nathan F. Saraiva de Sousa, Danny A. Lachos Perez, Raphael V. Rosa, Mateus A.S. Santos, Christian Esteve Rothenberg
2019 Computer Communications  
Research and development efforts are being devoted to enabling orchestration processes to automate, coordinate, and manage the deployment and operation of network services.  ...  In this survey, we delve into the topic of Network Service Orchestration~(NSO) by reviewing the historical background, relevant research projects, enabling technologies, and standardization activities.  ...  Automation can be obtained through heuristic algorithms and machine learning techniques.  ... 
doi:10.1016/j.comcom.2019.04.008 fatcat:rj4dizjtf5gd7fpnzim5ax5sy4

Integrated NFV/SDN Architectures: A Systematic Literature Review [article]

Michel S. Bonfim, Kelvin L. Dias, Stenio F. L. Fernandes
2018 arXiv   pre-print
POC#13 Multi-Layered Tra c Steering for Gi-LAN. [19] POC#16 NFVIaaS with Secure SDN-controlled WAN Gateway.  ...  Therefore, hierarchical and federated SDN Controllers must be used to meet scalability, availability, reliability, and end-to-end (multi-domain) provisioning requirements.  ... 
arXiv:1801.01516v1 fatcat:qpxp7o4p6bcsllzfabjssjs4p4

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  
This control plane is hierarchical, with an SDN control per technology domain.  ...  Along the SDN control plane for the provisioning of connectivity, a European Telecommunications Standards Institute Network Function Virtualization Management and Orchestration MANO part is responsible  ...  We are considering different options for the hierarchical network orchestration:  Design from scratch.  ... 
doi:10.5281/zenodo.2586712 fatcat:db2lgebgy5c2tn3i3stsgvqzqu

From Distributed Machine Learning to Federated Learning: A Survey [article]

Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2021 arXiv   pre-print
In this paper, we provide a comprehensive survey of existing works for federated learning. We propose a functional architecture of federated learning systems and a taxonomy of related techniques.  ...  Federated learning emerges as an efficient approach to exploit distributed data and computing resources, so as to collaboratively train machine learning models, while obeying the laws and regulations and  ...  A hierarchical algorithm, i.e., Hierarchical Federated Learning (HFL) is deployed to realize the model aggregation.  ... 
arXiv:2104.14362v2 fatcat:25fdci3vhjdgznxpgofylxsj7i

5G PPP Architecture Working Group - View on 5G Architecture, Version 4.0

Anastasius Gavras, Ömer Bulakci, Marco Gramaglia, Marius Iordache, Mir Ghoraishi, Antonio Garcia, Tezcan Cogalan, Jesús Gutiérrez, Anna Tzanakaki, Dan Warren, Xi Li, Giada Landi (+4 others)
2021 Zenodo  
Furthermore, federation implies multi-domain, but multi-domain does not imply federation (e.g., hierarchical relationship).  ...  Hierarchical orchestration of a federated slice assumes the definition of a parent orchestrator, sitting on top of multiple child orchestrators, coordinating their workflows and providing translation of  ...  Artificial intelligence/Machine learning as a Service (AIMLaaS): Provide AIML functionality through well-defined APIs to any network entity or service that may require it, for instance, to optimize the  ... 
doi:10.5281/zenodo.5155657 fatcat:xbjiccshe5cnvfurrh345dynue

D1.1 Design of infrastructure architecture and subsystems

Dan Warren, Ahmed Elmokashfi, Andrea F. Cattoni, Andres J. Gonzalez, Artur Hecker, Carlos Parada, Christos Politis, Christos Tranoris, Costas Kalogiros, Diego R. Lopez, Dimitrios Kritharidis, Duncan Silvey (+28 others)
2018 Zenodo  
Future versions will reflect this as a starting point, but also include lessons learned during implementation.  ...  of an SDN solution for the WAN.  ...  UE, RAN, Core Network, and potential application to manage the LAN-style service).  ... 
doi:10.5281/zenodo.2668754 fatcat:w55axi3vejf6bgrmwbqs2vshd4

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
Wan, S., +, JIoT July 2020 5995-6009 Toward Communication-Efficient Federated Learning in the Internet of Things With Edge Computing.  ...  Aman, M.N., +, JIoT Aug. 2020 7220-7233 Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks.  ...  ., +, JIoT Dec. 2020 11330-11346 Leaching Internet of Things and Machine-Learning-Based Leaching Requirements Estimation for Saline Soils. Bashir, R.N., +, JIoT May 2020 4464-4472  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Definition And Specification Of Connectivity And Qoe/Qos Management Mechanisms – Final Report

EU H2020 5G NORMA
2017 Zenodo  
The functionalities of each block are detailed with the interfaces connecting them and validated through exemplary network processes, highlighting thus 5G NORMA innovations.  ...  This document summarizes the WP5 work throughout the project, describing its functional architecture and the solutions that implement the WP5 concepts on network control and orchestration.  ...  The virtual link connecting the two VNFs is supported across the WAN infrastructure equipment. 2 The Network SDN orchestrator is aware of the WAN connectivity established through the WAN infrastructure  ... 
doi:10.5281/zenodo.1120242 fatcat:yg2rtk6oovdjfiddzjdjazuifq

All One Needs to Know about Fog Computing and Related Edge Computing Paradigms

Ashkan Yousefpour, Caleb Fung, Tam Nguyen, Krishna Kadiyala, Fatemeh Jalali, Amirreza Niakanlahiji, Jian Kong, Jason P. Jue
2019 Journal of systems architecture  
Next, we provide a taxonomy of research topics in fog computing, and through a comprehensive survey, we summarize and categorize the efforts on fog computing and its related computing paradigms.  ...  MEC, however, establishes connectivity through a WAN, WiFi, and cellular connections, whereas edge computing generally can establish any form of connectivity (e.g., LAN, WiFi, cellular).  ...  Sun and Ansari introduced EdgeIoT, a hierarchical architecture that aims to allocate resources through the use of VMs while maintaining user privacy [106] .  ... 
doi:10.1016/j.sysarc.2019.02.009 fatcat:udonbl6rerfwdap2psex7ryloa

Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure [article]

Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas DeFanti, Larry Smarr
2019 arXiv   pre-print
In particular, we present: 1) The architecture for CHASE-CI, a network of distributed fast GPU appliances for machine learning and storage managed through Kubernetes on the high-speed (10-100Gbps) Pacific  ...  The advances in data, computing and networking over the last two decades led to a shift in many application domains that includes machine learning on big data as a part of the scientific process, requiring  ...  Performance is optimized by minimizing data transfer on Local Area Networks (LANs), favoring high-bandwidth Wide Area Networks (WANs) such as the fiber connecting PRP sites.  ... 
arXiv:1903.06802v1 fatcat:2dw4sw2k6rhtninq2sxezmrr34

Creating a Worldwide Network for the Global Environment for Network Innovations (GENI) and Related Experimental Environments [chapter]

Joe Mambretti, Jim Chen, Fei Yeh, Jingguo Ge, Junling You, Tong Li, Cees de Laat, Paola Grosso, Te-Lung Liu, Mon-Yen Luo, Aki Nakao, Paul Müller (+4 others)
2016 The GENI Book  
As resources are increasingly being abstracted through virtualization, new tools are also being created to discover, integrate, manage and control them, especially through new types of orchestration techniques  ...  Recently, these communities have not only been investigating techniques for federating these research environments across multiple domains, but they have also been demonstration prototypes of such federations  ...  Tools and methods for undertaking these tasks through orchestration frameworks are being developed.  ... 
doi:10.1007/978-3-319-33769-2_24 fatcat:2u4ib64b2vfanm56vjj2gdtaum

Novel strategies for global manufacturing systems interoperability

Ricardo Jardim-Goncalves, Antonio Grilo, Keith Popplewell
2014 Journal of Intelligent Manufacturing  
to support the collaborative manufacturing network lifecycle through service oriented software, and ultimately the provision of effective business interoperability.  ...  Thus we identify a spectrum of research from the management of hardware and virtual sensing devices, through the semantic interpretation of the data and information generated by these, and its utilisation  ...  LAN and WAN to fulfil HLA 1516-2010 standard requirements.  ... 
doi:10.1007/s10845-014-0948-x fatcat:2z77m74jl5eypnwl2trwxnh4ay
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