Celebrate our 2nd B'day and learn at Multi-Access Edge Computing Lab & Talks


Details
Come to the February Meet Up where the Intel® Network Edge Virtualization SDK (Intel® NEV SDK) will be introduced. Intel NEV SDK – the first kit of its kind – provides an NFV platform targeted for MEC applications and services. MEC is an industry initiative to open up the radio access interface for services and applications in the radio access network. There will be hands-on tutorials and presentations by speakers from Tata Consultancy Services, Wind River, Viosoft and Intel who will be on-hand to share their experience and knowledge. Please join us for all or part of the day. RSVP on the meet up page today, there will be cake! And prizes!!! If you also register on the Eventbrite page (https://www.eventbrite.com/e/multi-access-edge-computing-lab-talks-tickets-42609991632), you'll be entered into a raffle to win a prize!
Unfortunately lab, cake, and food cannot be streamed!! Check below for the rest:
2:35-3:35 Multi-Access Edge Computing (MEC) and Intel® NEV SDK: Intel,TCS
https://www.youtube.com/watch?v=yRDNvT7t00w
6:10-7:30 Multi-Access Edge Computing (MEC): Platforms and Use Cases: Viosoft, Windriver
https://www.youtube.com/watch?v=Ljnuy91VE58
Sessions:
Centralized Emergency Traffic Optimizer NEV SDK (Tata Consultancy Services)
We will be showcasing our CETO (Centralized Emergency Traffic Optimizer), a V2X and connected cars use case utilizing mobile edge computing framework using edge and centralized computing and analytics engine. This use case will showcase how edge traffic control engine is used to find the shortest path and create fastest traffic route for emergency vehicles by clearing the traffic of each traffic junction before the emergency vehicle arrives at the junction. To calculate the path, it considers the current density of each traffic junction and predicted density on each junction on the emergency vehicle suggested using the analytics engine running on the edge node. Assuming all cars are connected cars, It also connects to each car to suggest an alternative route to their destination if the car is on the same path as ambulance to reduce traffic congestion and faster route for all the vehicles at the same time.
Development, test, and characterization of MEC platforms with Teranium and Dronava (Viosoft)
Mobile edge computing delivers cloud computing at the edge of the cellular network to drive services quality and innovation. The ability for CSPs and ISVs to effectively develop, deliver, and deploy MEC services on a given platform directly correlates with the availability and maturity of associated tools and test environment. Dronava is a hyper-connected, web-scale network network reference design for the 5G mobile network, suitable for use as a test and development socket for cloud applications developed for MEC platforms with tools such as the Intel® NEV SDK. With Dronava, developers can drive the application with real traffics from the network edge to the EPC core, and if need be, connect with services in the core network in order to fully characterize the functionalities, latency, and throughput of the platform and application. Teranium is an integrated development environment that simplifies the development, packaging, and deployment/management of cloud applications. Teranium can be utilized to develop and deploy MEC applications on a number of platforms. Together with Dronava, Teranium helps to reduce complexity and improve efficiency in the ability of CSPs and ISVs to adopt and deploy MEC-base services.
Enabling MEC as a New Telco Business Opportunity (Wind River)
As Communications Service Providers (CSPs) evaluate options for deploying Mobile Edge Computing (MEC) in order to boost revenues and increase profitability, they need proven, pre-integrated end-to-end system solutions that meet stringent requirements for high service uptime and low-latency communications while supporting multiple high-value MEC use cases.
Multi-Access Edge Computing Technical Talk (Intel)
Abstract coming soon!

Celebrate our 2nd B'day and learn at Multi-Access Edge Computing Lab & Talks