PoC 9 MEC platform to enable low-latency Industrial IoT
Ariel Peltz, Vasona Networks email@example.com
Samuel Monderer, Vasona Networks firstname.lastname@example.org
Rui Frazao, Vasona Networks email@example.com
PoC Demo 1 – Static setup of local IoT traffic breakout, Feb 2017, Mobile World Congress 2017, Barcelona
Poc Demo 2 – Dynamic setup of local IoT traffic breakout based on performance KPIs or external trigger, Sep 2017, MEC Congress 2017, Berlin
This PoC considers a typical Industry 4.0 (RAMI 4.0 - Platform 4.0 Industrie)* IoT use-case for latency, mobility and location sensitive applications, wherein a MEC host with local RAN breakout can enable massively scalable real-time duplex trusted transit delivery of data between IoT devices (sensors, actuators, control systems etc.) and cloud based industrial applications that leverage low-latency transactions with real-time meta-data on localized usage, security and QoS. The PoC will simulate a real-world Industry 4.0* use case and demonstrate several value drivers for stakeholders driving IoT.
This PoC will leverage Xaptum’s distributed Peering IP-Overlay Network for IoT and extend their peering nodes Xaptum ENF (Edge Network Function) Run-Time Architecture to the mobile edge for low latency and secure communication of Industrial IoT devices. In combination with Oberthur’s embedded cryptographic authentication SE (Secure Element), /TPM 2.0 (Trusted Platform Module) and DAA (Digital Anonymous Attestation) offerings for both IT and application end-points, we will be able to demonstrate a use-case that meets today’s stringent requirements of industrial applications.
The entirety of the PoC will be deployed over an NFV infrastructure to highlight the benefits of COTS hardware and to reap the benefits of orchestration and automation. The PoC will leverage RIFT.io RIFT.ware, a commercially supported offering of the ETSI Open Source MANO (OSM).
This PoC is WORKING on:
PoC Contribution to PT01 and PT03 (Technical Report) is expected by Q3 2017
PoC Report is expected by Q4 2017