This document discusses 5G and multi-access edge computing (MEC). The key points are: 1) 5G can achieve latency of 100ms while 4G is 300ms, and 5G bandwidth is 20Gbps compared to 4G's 1.29Gbps; 2) MEC deployed close to users on 5G can achieve even lower latency of under 10ms; 3) MEC integrated with 5G can enable new applications for IoT, VR/AR with high speed and low latency.
OpenStack-Based NFV Cloud at Swisscom: challenges and best practicesAvi Networks
Considering moving your data and applications to the cloud? Tune in to learn why Swisscom can deploy services within minutes instead of weeks, using OpenStack and Avi Networks. Learn how Swisscom overcame challenges such as ensuring HA with no single point of failure, achieving zero packet loss in the NFV cloud with multicast traffic and low jitter, and more.
View this webinar on-demand to:
- Hear about Swisscom’s IT journey with OpenStack and the Avi Vantage Platform
- Understand key features that Avi Vantage delivered for Swisscom, such as load balancing, elastic scale, an iWAF and security, analytics with a distributed architecture
- See a live demo of the Avi Vantage Platform in action
Watch the full webinar: https://info.avinetworks.com/webinars-swisscom-and-avi-networks
Virtualization and Migration in Cloud - Edge Computing models using OpenStack...Sai praveen Seva
The main incentive of this project/thesis is to leverage the OpenStack Cloud platform and make it efficient to facilitate Cloud - Edge computing models for IoT devices termed as “Edge nodes” in the context of smart city as a part of SmartME initiative by University of Messina, Italy.
Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...Hidetsugu Sugiyama
This session will discuss K8s solutions and Telco Intelligent-edge possibilities by integrate with CoreOS Operator Framework that can manage CNFs, state-full and other complex stateless container applications.
Open Source Edge Computing Platforms - OverviewKrishna-Kumar
IEEE 11th International Conference - COMSNETS 2019 - Last MilesTalk - Jan 2019. This talk is for Beginner or intermediate levels only. Kubernetes and related edge platforms are discussed.
This slide was for CLOUDEXPO 2017 in NYC. Consists of two part, One is for introducing existing WebRTC - IoT use cases. Another is conceptual consideration of Edge Computing scenario which leveraging WebRTC technology.
cncf overview and building edge computing using kubernetesKrishna-Kumar
Open Source India Conference 2018 Presentation to the general audience - not a deep technical talk. Narrated like a story for make it interesting......
OpenStack-Based NFV Cloud at Swisscom: challenges and best practicesAvi Networks
Considering moving your data and applications to the cloud? Tune in to learn why Swisscom can deploy services within minutes instead of weeks, using OpenStack and Avi Networks. Learn how Swisscom overcame challenges such as ensuring HA with no single point of failure, achieving zero packet loss in the NFV cloud with multicast traffic and low jitter, and more.
View this webinar on-demand to:
- Hear about Swisscom’s IT journey with OpenStack and the Avi Vantage Platform
- Understand key features that Avi Vantage delivered for Swisscom, such as load balancing, elastic scale, an iWAF and security, analytics with a distributed architecture
- See a live demo of the Avi Vantage Platform in action
Watch the full webinar: https://info.avinetworks.com/webinars-swisscom-and-avi-networks
Virtualization and Migration in Cloud - Edge Computing models using OpenStack...Sai praveen Seva
The main incentive of this project/thesis is to leverage the OpenStack Cloud platform and make it efficient to facilitate Cloud - Edge computing models for IoT devices termed as “Edge nodes” in the context of smart city as a part of SmartME initiative by University of Messina, Italy.
Kubernetes Native Infrastructure and CoreOS Operator Framework for 5G Edge Cl...Hidetsugu Sugiyama
This session will discuss K8s solutions and Telco Intelligent-edge possibilities by integrate with CoreOS Operator Framework that can manage CNFs, state-full and other complex stateless container applications.
Open Source Edge Computing Platforms - OverviewKrishna-Kumar
IEEE 11th International Conference - COMSNETS 2019 - Last MilesTalk - Jan 2019. This talk is for Beginner or intermediate levels only. Kubernetes and related edge platforms are discussed.
This slide was for CLOUDEXPO 2017 in NYC. Consists of two part, One is for introducing existing WebRTC - IoT use cases. Another is conceptual consideration of Edge Computing scenario which leveraging WebRTC technology.
cncf overview and building edge computing using kubernetesKrishna-Kumar
Open Source India Conference 2018 Presentation to the general audience - not a deep technical talk. Narrated like a story for make it interesting......
The Right Tools for IoT Developers – Dan Gross @ Eclipse IoT Day ThingMonk 2016Benjamin Cabé
Video available at: https://www.youtube.com/watch?v=P8Hk5Ir8fXo
Samsung has introduced the Samsung ARTIK IDE for IoT Developers. This new set of tools is based on Eclipse Che and is designed to make it easy to build, deploy and manage IoT applications. This presentation will demonstrate why creating the right tools for IoT developers make it quicker and easier for IoT application development.
JCConf 2017 - Next Generation of Cloud Computing: Edge Computing and Apache E...Joseph Kuo
Cloud computing has been developed more than one decade and still keeps growing and growing. At the present time when we enjoy the huge benefits it brings to us, we are also aware of its deficiency that we have to enhance, especially for applications running against IoT. This session is to present the next generation of cloud computing: Edge Computing. We will introduce you what Edge Computing is, why we need it, and how it works with current cloud computing services. Furthermore, when we get involved into edge computing, we need a tool to help us to analysis real-time and continuous data streams generated by devices, equipment and systems on IoT. Therefore we will also present Apache Edgent, a programming model and micro-kernel style run-time, and show you how it works in conjunction with centralized analytic systems and provides efficient and timely analytic across the whole IoT ecosystem.
https://cyberjos.blog/java/seminar/jcconf-2017-next-generation-of-cloud-computing-edge-computing-and-apache-edgent/
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)Samy Fodil
Webinar recording: https://youtu.be/t30Aa-mq93Q
Do you need to build scalable 5G and IoT applications? Or, maybe distribute the computing required by AR/VR throughout the data path? Perhaps you need to implement Digital Twins? Well you've come to the right place.
Edge Computing is a paradigm that distributes computing and data storage between the Cloud and the users. In fact, the data center infrastructure that sits between you and the Cloud is actually larger than all the Cloud data centers combined. For over two decades, thanks to that Edge infrastructure you've been able to watch videos and smoothly surf the web. Today the "Edge" is powering all the automation around you; for example, smart cities, smart cars, smart factories, etc.
ONAP and the K8s Ecosystem: A Converged Edge Application & Network Function P...Liz Warner
The edge computing industry is increasingly using cloud technologies for seamless migration of workloads across edges and clouds. For seamless mobility workloads, K8s is a key requirement for all CSPs. Also, K8s is can be a good workload orchestrator for all deployment types (VMs, containers and functions). This panel will discuss existing work and novel ways of realizing a converged network function & edge computing application platform across distributed clouds using the extensibility of the K8s ecosystem. This work is currently happening in ONAP as part of the Edge Automation effort and we see this impactful to other open source efforts such as Akraino, K8s Edge WG etc.
CERN and Huawei, one of the companies that is working with T-Systems to develop a prototype for HNSciCloud, in the context of CERN openlab, will jointly work on improvements to OpenStack for running large scale scientific workloads.
This collaboration was announced at the CERN openlab open day on 21st September 2017.
Over 90% of CERN’s compute resources are delivered using OpenStack. OpenStack provides software for private and public clouds and CERN and Huawei are among the major contributors to the open source project (Huawei is a platinum member of the OpenStack foundation).
With the needs of LHC computing in future years, efficient and flexible delivery of compute resources will be key. That's why CERN and Huawei have joined forces to jointly work on improvements to OpenStack for running large scale scientific workloads.
The developments will be done within the OpenStack community following the standard open source processes.
Focus areas will be:
Flexible resource management
Quotas
Bare metal allocation
Compute cells
Changes, resulting from this activity, will then be included into the CERN private cloud and Huawei’s private and public cloud offerings.
LFI18-Solving the challenges of commissioning a wireless lighting infrastruc...Silvair
With the advent of connected lighting technologies, a new approach to the commissioning process is needed. Different communication protocols impose different limitations and suppliers have all sorts of ideas as to how to address them. In this seminar, we will dive deep into wireless commissioning, discussing the challenges and opportunities it brings. From simple scenarios to advanced lighting control strategies, we’ll investigate what is needed to commission a connected lighting system in a time- and cost-efficient manner. We’ll analyze good practices and common misconceptions, as well as the latest innovations delivered by Bluetooth mesh.
CNTT is an Converged NFVi Telco Task force setup to standardize Reference Implementations (RI) and compliances for Service Providers to use common Models, Architecture and hence Deployments for their workloads. Given the NFVi proliferations in the past the limited set of RI chosen are one based on OpenStack and another Kubernetes. Tier 1 service providers and participating Tier2 & 3 providers in CNTT community welcome it. The incumbent vendors and emerging players in disaggregated workloads are watching as how they can participate without downside to their bottom-line. This is interesting and early adapters will gain as they can plan to align their products and solutions in this space. The evolution of Infrastructure demands the changes as you will see in next topic Airship.
Airship is a bunch of tools and software that will allow you to elevate your infrastructure, especially if you are a Communication Service Provider. We here bring you from Airship community all that has happened as part of Rebuilding the Data Center Infrastructure for next generation. With multi-layer, multi-node, multi-cluster, multi-tenant, multi-cloud, hybrid-cloud the only way is cloud native and that requires Open Infrastructure. This is then Followed by where (ONFV/ONAP/TUG) and how this Airship will migrate from 1.0 to 2.0 to enable scaling functions anywhere. Thus was born the Airship and now moving toward overlay cluster deployments for workloads. It can be engineered to support Any over Any (OoK, KoK,AoA) name it and we need plugins and drivers for k8s to deliver all the features. This will be engineering challenge as well a mindset change and will take few years to Get to NextGen workloads besides CNTT NFVi/VNF & CNF.
In seinem Meetup Talk berichtete Maximilian von den aktuellen Problemen von Cloud Computing – insbesondere im Internet of Things – und wie diese durch Edge Computing mitigiert werden können. Er erklärte, wie eine generische Edge-Computing-Architektur aussehen kann und zeigte Anwendungsfälle, von denen manche auch schon in existierenden Produkten umgesetzt sind.
Im Anschluss stellte er Azure IoT Edge vor und erläuterte, wie es das bestehende IoT Framework von Microsoft erweitert sowie die Grundkonzepte, die IoT Edge bereitstellt. Auch die Probleme in dem noch jungen Produkt wurden angesprochen, aber auch die Vorteile und Features, die es liefert.
In der gemeinsamen Demo mit Eli haben dann beide Speaker die technischen Details von Azure IoT Edge gezeigt und demonstriert, beispielsweise wie Code automatisiert von einer CI/CD-Pipeline in Azure DevOps auf ein IoT-Gerät deployed werden kann.
Event: inovex Meetup, 12.03.& 19.03.2019
Speaker: Maximilian Bischoff, inovex
Mehr Tech-Vorträge: inovex.de/vortraege
Mehr Tech-Artikel: inovex.de/blog
MOdel-Driven Approach for design and execution of applications on multiple Cl...Marcos Almeida
Current Cloud’s offer is becoming day by day wider providing a vibrant technical environment, where SMEs can create innovative solutions and evolve their services. Clouds promise cheap and flexible services to end-users at a much larger scale than before.
The main goal of MODAClouds is to provide a decision support system along with design and runtime environments for early prototyping and automatic deployment of applications on multi-Clouds with guaranteed QoS. Model-driven development combined with novel model-driven risk analysis and quality of service prediction enable developers to specify Cloud-provider independent models enriched with quality parameters, implement these, perform quality prediction, monitor applications at run-time and optimize them based on the feedback, thus filling the gap between design and run-time. Additionally, MODAClouds provides techniques for data mapping and synchronization among multiple Clouds.
Website: http://www.modaclouds.eu/
The Right Tools for IoT Developers – Dan Gross @ Eclipse IoT Day ThingMonk 2016Benjamin Cabé
Video available at: https://www.youtube.com/watch?v=P8Hk5Ir8fXo
Samsung has introduced the Samsung ARTIK IDE for IoT Developers. This new set of tools is based on Eclipse Che and is designed to make it easy to build, deploy and manage IoT applications. This presentation will demonstrate why creating the right tools for IoT developers make it quicker and easier for IoT application development.
JCConf 2017 - Next Generation of Cloud Computing: Edge Computing and Apache E...Joseph Kuo
Cloud computing has been developed more than one decade and still keeps growing and growing. At the present time when we enjoy the huge benefits it brings to us, we are also aware of its deficiency that we have to enhance, especially for applications running against IoT. This session is to present the next generation of cloud computing: Edge Computing. We will introduce you what Edge Computing is, why we need it, and how it works with current cloud computing services. Furthermore, when we get involved into edge computing, we need a tool to help us to analysis real-time and continuous data streams generated by devices, equipment and systems on IoT. Therefore we will also present Apache Edgent, a programming model and micro-kernel style run-time, and show you how it works in conjunction with centralized analytic systems and provides efficient and timely analytic across the whole IoT ecosystem.
https://cyberjos.blog/java/seminar/jcconf-2017-next-generation-of-cloud-computing-edge-computing-and-apache-edgent/
Connectivity is here (5 g, swarm,...). now, let's build interplanetary apps! (1)Samy Fodil
Webinar recording: https://youtu.be/t30Aa-mq93Q
Do you need to build scalable 5G and IoT applications? Or, maybe distribute the computing required by AR/VR throughout the data path? Perhaps you need to implement Digital Twins? Well you've come to the right place.
Edge Computing is a paradigm that distributes computing and data storage between the Cloud and the users. In fact, the data center infrastructure that sits between you and the Cloud is actually larger than all the Cloud data centers combined. For over two decades, thanks to that Edge infrastructure you've been able to watch videos and smoothly surf the web. Today the "Edge" is powering all the automation around you; for example, smart cities, smart cars, smart factories, etc.
ONAP and the K8s Ecosystem: A Converged Edge Application & Network Function P...Liz Warner
The edge computing industry is increasingly using cloud technologies for seamless migration of workloads across edges and clouds. For seamless mobility workloads, K8s is a key requirement for all CSPs. Also, K8s is can be a good workload orchestrator for all deployment types (VMs, containers and functions). This panel will discuss existing work and novel ways of realizing a converged network function & edge computing application platform across distributed clouds using the extensibility of the K8s ecosystem. This work is currently happening in ONAP as part of the Edge Automation effort and we see this impactful to other open source efforts such as Akraino, K8s Edge WG etc.
CERN and Huawei, one of the companies that is working with T-Systems to develop a prototype for HNSciCloud, in the context of CERN openlab, will jointly work on improvements to OpenStack for running large scale scientific workloads.
This collaboration was announced at the CERN openlab open day on 21st September 2017.
Over 90% of CERN’s compute resources are delivered using OpenStack. OpenStack provides software for private and public clouds and CERN and Huawei are among the major contributors to the open source project (Huawei is a platinum member of the OpenStack foundation).
With the needs of LHC computing in future years, efficient and flexible delivery of compute resources will be key. That's why CERN and Huawei have joined forces to jointly work on improvements to OpenStack for running large scale scientific workloads.
The developments will be done within the OpenStack community following the standard open source processes.
Focus areas will be:
Flexible resource management
Quotas
Bare metal allocation
Compute cells
Changes, resulting from this activity, will then be included into the CERN private cloud and Huawei’s private and public cloud offerings.
LFI18-Solving the challenges of commissioning a wireless lighting infrastruc...Silvair
With the advent of connected lighting technologies, a new approach to the commissioning process is needed. Different communication protocols impose different limitations and suppliers have all sorts of ideas as to how to address them. In this seminar, we will dive deep into wireless commissioning, discussing the challenges and opportunities it brings. From simple scenarios to advanced lighting control strategies, we’ll investigate what is needed to commission a connected lighting system in a time- and cost-efficient manner. We’ll analyze good practices and common misconceptions, as well as the latest innovations delivered by Bluetooth mesh.
CNTT is an Converged NFVi Telco Task force setup to standardize Reference Implementations (RI) and compliances for Service Providers to use common Models, Architecture and hence Deployments for their workloads. Given the NFVi proliferations in the past the limited set of RI chosen are one based on OpenStack and another Kubernetes. Tier 1 service providers and participating Tier2 & 3 providers in CNTT community welcome it. The incumbent vendors and emerging players in disaggregated workloads are watching as how they can participate without downside to their bottom-line. This is interesting and early adapters will gain as they can plan to align their products and solutions in this space. The evolution of Infrastructure demands the changes as you will see in next topic Airship.
Airship is a bunch of tools and software that will allow you to elevate your infrastructure, especially if you are a Communication Service Provider. We here bring you from Airship community all that has happened as part of Rebuilding the Data Center Infrastructure for next generation. With multi-layer, multi-node, multi-cluster, multi-tenant, multi-cloud, hybrid-cloud the only way is cloud native and that requires Open Infrastructure. This is then Followed by where (ONFV/ONAP/TUG) and how this Airship will migrate from 1.0 to 2.0 to enable scaling functions anywhere. Thus was born the Airship and now moving toward overlay cluster deployments for workloads. It can be engineered to support Any over Any (OoK, KoK,AoA) name it and we need plugins and drivers for k8s to deliver all the features. This will be engineering challenge as well a mindset change and will take few years to Get to NextGen workloads besides CNTT NFVi/VNF & CNF.
In seinem Meetup Talk berichtete Maximilian von den aktuellen Problemen von Cloud Computing – insbesondere im Internet of Things – und wie diese durch Edge Computing mitigiert werden können. Er erklärte, wie eine generische Edge-Computing-Architektur aussehen kann und zeigte Anwendungsfälle, von denen manche auch schon in existierenden Produkten umgesetzt sind.
Im Anschluss stellte er Azure IoT Edge vor und erläuterte, wie es das bestehende IoT Framework von Microsoft erweitert sowie die Grundkonzepte, die IoT Edge bereitstellt. Auch die Probleme in dem noch jungen Produkt wurden angesprochen, aber auch die Vorteile und Features, die es liefert.
In der gemeinsamen Demo mit Eli haben dann beide Speaker die technischen Details von Azure IoT Edge gezeigt und demonstriert, beispielsweise wie Code automatisiert von einer CI/CD-Pipeline in Azure DevOps auf ein IoT-Gerät deployed werden kann.
Event: inovex Meetup, 12.03.& 19.03.2019
Speaker: Maximilian Bischoff, inovex
Mehr Tech-Vorträge: inovex.de/vortraege
Mehr Tech-Artikel: inovex.de/blog
MOdel-Driven Approach for design and execution of applications on multiple Cl...Marcos Almeida
Current Cloud’s offer is becoming day by day wider providing a vibrant technical environment, where SMEs can create innovative solutions and evolve their services. Clouds promise cheap and flexible services to end-users at a much larger scale than before.
The main goal of MODAClouds is to provide a decision support system along with design and runtime environments for early prototyping and automatic deployment of applications on multi-Clouds with guaranteed QoS. Model-driven development combined with novel model-driven risk analysis and quality of service prediction enable developers to specify Cloud-provider independent models enriched with quality parameters, implement these, perform quality prediction, monitor applications at run-time and optimize them based on the feedback, thus filling the gap between design and run-time. Additionally, MODAClouds provides techniques for data mapping and synchronization among multiple Clouds.
Website: http://www.modaclouds.eu/
5G-Slicer: An emulator for mobile IoT applications deployed over 5G network s...MoysisSymeonides
"5G-Slicer An emulator for mobile IoT applications deployed over 5G network slices" presentation at 2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI)
Presentation at conference
Abstract. The purpose of this presentation is to examine the impact of modern IT and software methods and technologies on the adoption IP media in broadcast. Realizing the advantages of media over IP go far beyond the adoption of a SDI packetization standard. Modern trends in networking, cloud and edge technologies, as well as software design, deployment and management tools all need to converge into an interconnected, collaborative technological foundation.
The implications of these technologies, the interrelationships, the changing competitive landscape and the need for cross-sector collaboration will be investigated.
It's More than Cloud - Digital Disruption - your business model is under thre...David Terrar
My #UKISUG13 presentation on Tuesday 26th November 2103 in the Cloud stream:
- Rethink the way you look at Cloud
- Simplify the Cloud message for your colleagues
- Go back to your company, look at your plans for innovation and put your foot on the accelerator
Contents:
A bit of a history lesson: back to basics to explain where we are and why it’s so exciting
It’s more than Cloud: “The Big Shift” , “Digital Disruption” , “Third Wave of IT”
Standards, compliance, and EU strategy
Data security after PRISM
What about the other big players?
Where next?
Geepy is a brand of the company M2M Telecom Ltd. We are designers and manufacturing technology products strong cyber security, nano technology, artificial intelligence and multiple modems for data transmission.
Edge optimized architecture for fabric defect detection in real-timeShuquan Huang
In textile industry, fabric defect relies on human inspection traditionally, which is inaccurate, inconsistent, inefficient and expensive. There were automatic systems developed on the defect detection by identifying the faults in fabric surface using the image and video processing techniques. However, the existing solution has insufficiencies in defect data sharing, backhaul interconnect, maintenance and etc. By evolving to an edge-optimized architecture, we can help textile industry improve fabric quality, reduce operation cost and increase production efficiency. In this session, I’ll share:
What’s edge computing and why it’s important to intelligence manufacturing
What’s the characteristics, strengths and weaknesses of traditional fabric defect detection method
Why textile industry can benefit from edge computing infrastructure
How to design and implement an edge-enabled application for fabric defect detection in real-time
Insights, synergy and future research directions
Learn to utilize cisco unified communications for better collaboration( hando...Tuan Yang
Disruption in communication is a common problem for businesses and organizations that affect overall productivity, collaboration, and revenue. Establish your communications infrastructure and enable your teams to connect easily with the Cisco Unified Communications Manager. It features IP telephony, integrated messaging, high-definition video, instant message, and presence.
Interested in knowing more?
Watch the recorded video by following the given link: https://www.netcomlearning.com/webinars/9917/cisco-better-collaboration.html?WebinarID=952
NTT Docomo's Challenge looking ahead the world pf 5G × OpenStack - OpenStack最...VirtualTech Japan Inc.
タイトル:NTT Docomo's Challenge looking ahead the world pf 5G × OpenStack
アジェンダ:
- Current Challenge
-- DOCOMO Cloud Platform
-- BizDevOps
- Challenge for the future
-- DOCOMO 5G Open Cloud
-- Next Challenge
13. MEC
MEC
- Receive video
- Send alerts
- Perform interface
using ML model
- Stream video
- Receive alerts
Driver Monitoring
dOIC
MEC Hackathon 2018
https://forge.etsi.org/mec/mec_case_study.PDF 13
14. •
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• Google
• googleforgames/open-match: Flexible, extensible, and scalable video game matchmaking.
• Open Match - google-cloud-jp
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ETSI White Paper ”Developing Software for Multi-Access Edge Computing” 2nd Edition
https://www.etsi.org/images/files/ETSIWhitePapers/etsi_wp20ed2_MEC_SoftwareDevelopment.pdf
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