Fundamentals of Edge Computing
In 2020, edge computing moved from concept to early-stage deployments as new use cases demand a more decentralized approach to computing and networking than a traditional, fully cloud-based model.
Operators, network vendors and cloud companies were conducting trials and launching early commercial products in the U.S., Europe, China and developed markets of Asia Pacific.
Edge computing is computing that’s done at or near the source of the data, instead of relying on the cloud at one of a dozen data centers to do all the work.
Edge computing doesn’t mean the cloud will disappear. It means the cloud is coming to you.
Another way of looking at it: Edge computing is the practice of capturing, storing, processing and analyzing data near the client, where the data is generated, instead of in a centralized data processing warehouse.
Hence, the data is stored at intermediate points at the “edge” of the network, rather than always at the central server or data center.
Edge computing is important because it creates new and improved ways for industrial and enterprise-level businesses to maximize operational efficiency, improve performance and safety, automate all core business processes, and ensure “always on” availability. It is a leading method to achieve the digital transformation of how you do business.
The management aspect of edge computing is hugely important for security – especially with 5G’s fast forward interconnectivity of IoT devices and all the security issues tagging along for the ride.
But security isn’t the only way that edge computing will help solve the problems IoT introduced. Edge proponents expect a bandwidth savings enabled by edge computing.
While progress on edge trials continues, there are still critical questions to address around the most viable location of the edge, the magnitude of edge investment needed, and the actual business models.
As 5G technology is about to standalone, there are many challenges in regards to edge computing technology. One of those challenges is what do do about the lack of rules and regulations at the universal level. Other challenges:
- Large initial capital investment
- Integration in a multi-cloud environment
- Specific security threats are not fully understood
- Lack of awareness among SME’s and government sectors
What is clear is that edge computing is an emerging technology that enables the evolution to 5G by bringing cloud capabilities near to the end users (or user equipment, UEs) in order to overcome the intrinsic problems of the traditional cloud, such as high latency and the lack of security.
Fundamentals of Edge Computing Course by Tonex
Fundamentals of Edge Computing training course will introduce participants to Edge Computing and its application in 5G including Multi-access edge computing (MEC) computing and Mobile Edge Computing.
Edge computing is a network architectural model that brings technology resources such as compute and related infrastructure, closer to the end user to reduce the processing delay.
The behind-the-scenes aspects of EDGE and MEC, such as quicker processing and less network traffic, enables ultra-low latency, localized data and expanded mission critical and IoT potential.
We will dive deep into key concepts behind Multi-access Edge Computing (MEC) and mobile edge computing. Participants will learn about Multi-access edge computing (MEC) as a network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of any network.
Additionally, we will discuss Mobile edge computing that provides both an IT service environment and cloud-computing capabilities at the mobile edge of the network, within the radio access network (RAN) and in close proximity to mobile subscribers, enterprises and other organizations.
After completing this course, the participants are able to:
- Discuss key benefits and Edge Computing and MEC Use Cases and business values
- Define concepts behind Edge Computing, Mobile Edge computing and Multi-Access Edge computing (MEC)
- Illustrate architecture behind Edge Computing and 5G MEC
- Discuss reference architecture for Edge Computing and MEC
- Identify key technology enablers for Edge Computing and MEC
- Describe how MEC integrates with 5G network
Key Topics Discussed:
- Basics of Cloud Computing
- Edge Computing basics
- Edge Computing Use-Cases
- Benefits of Edge Computing
- Different Types of Edge
- Edge Deployment Modes
- Edge Computing Solutions
- Edge Computing in 5G
- Fundamentals of Multi-access Edge Computing (MEC)
- Fundamentals of Mobile Edge Computing
- How does Multi-access Edge Computing (MEC) extend the functionality of networks, including 5G networks?
Edge and Multi-access Edge Computing (MEC): The Basics
- Edge computing basics
- Distributed cloud compute extension of cellular and non-cellular networks where data
- Edge computing – a must for 5G success
- The role of edge computing in 5G
- Edge and multi-access edge computing key definitions, benefits, and characteristics
- Overview of Edge and multi-access edge computing (MEC) use cases
- Edge and multi-access edge computing (MEC) Architecture and Functions
- Mobile Edge Computing: A key technology towards 5G
ETSI MEC Reference Architecture
- Mobile Edge Host
- Platforms, infrastructure, applications
- Network Transformation;(Orchestration, Network and Service Management Framework)
- Edge and MEC management and APIs
- Developing Software for Multi-Access Edge Computing
- MEC in an Enterprise Setting
- MEC in 5G networks
- Cloud RAN and MEC
Strategic relevance of MEC
- Video analytics
- Location services
- Internet-of-Things (IoT)
- Augmented reality
- Optimized local content distribution and
- Data caching
Edge and Multi-access Edge Computing (MEC): Technology Enablers
- Key Cloud infrastructure
- Bringing data processing and analysis closer to endpoints
- Network Functions Virtualization (NFV)
- Software-Defined Networking (SDN)
- Next generation of microservices for the 5G Service‐Based Architecture (SBA) and multi-access edge computing (MEC)
Case Study: AWS for the Edge
- AWS Local Zones
- AWS Outposts
- AWS Wavelength
- AWS Storage Gateway
- Rugged & Disconnected Edge Devices
- AWS Snowball Edge
- AWS Snowcone
- Amazon CloudFront
- AWS IoT Greengrass
- AWS IoT SiteWise
- Alexa Voice Service Integration for AWS IoT Core
- Machine Learning
- Amazon SageMaker Neo
- AWS RoboMaker
- Amazon Kinesis Video Streams
- 5G Deployment and Use Cases
Technical Workshops (Choose Two)
- Ultra-low latency compute
- Machine learning at the edge
- Edge data processing
- Application for Manufacturing
- Media & entertainment
- Connected home
- Financial services
Capstone Project: MEC PROOFS OF CONCEPT (PoC)
- MEC PoC Projects
- Video User Experience Optimization via MEC – A Service Aware RAN MEC PoC
- Edge Video Orchestration
- Radio aware video optimization in a fully virtualized network
- FLIPS – Flexible IP-based Services
- Enterprise Services
- Healthcare – Dynamic Hospital User, IoT and Alert Status management
- Multi-Service MEC Platform for Advanced Service Delivery
- Video and IoT Analytics
- MEC platform to enable low-latency Industrial IoT
- Service Aware MEC Platform to enable Bandwidth Management of RAN
- Communication Traffic Management for V2X
- MEC enabled OTT business
- MEC infotainment for smart roads and city hot spots
Fundamentals of Edge Computing