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Attributes

Description

Informational

TypeNew

Industry Sector

Telco Carrier Networks and Enterprises

Business driver

Vast amounts of mobile/wireline data (predominantly video) is expected to continue to grow, particularly with 5G and IoT. Low latency, backhaul bandwidth restrictions/cost, and real time edge media analytics require media processing at network edges versus transporting all media to network core. Without the ability to process real time media at the network edges a number of new advanced applications would not be possible nor economically viable.

Business use cases

1. Edge deployments at enterprises, entertainment venues, factory automation plants, public facilities where real time media processing required
2. Edge media applications include multi-party conferencing, gaming, surveillance, IoT generated content, AR and VR applications
3. Edge media applications requiring low latency and to overcome backhaul BW availability and costs being prohibitive 
4. Real time media analytics with AI and ML based applications for high value and media monetization applications

Business Cost - Initial Build Cost Target Objective

Initial build requires a small footprint POD with minimal fabric and management switch, 4+ compute nodes with optional GPU acceleration, local storage node(s), PSUs, rack, typically under $100K with SW

Business Cost – Target Operational Objective

1. Low operation cost, with support for remote FCAPS management, and ONAP based zero-touch resource and service orchestration
2. Typical 16U height OCP rack with similar power consumption, with minimal footprint of 2 compute nodes.

1. Edge Media solution shall support POD level consolidated management (OSAM) and service level orchestration and LCM via ONAP.

1. Zero touch provisioning, upgrades, fault and performance management KPI, and auto-scaling and auto-healing capabilities

Security needPOD platform SW and application level security vulnerability scanning and automated patching capabilities required

Media content security and user access authentication capabilities required

RegulationsDepending on type of Edge Media application GDPR or other regulatory requirements may be applicable. NEBS may be required depending on deployment location and carrier network requirements

Other restrictionsDepending on deployment location, a single half-height rack to multiple full-height racks at Edge DC or Edge CO locations may drive power and cooling requirements

Additional details

Edge Media solution shall enable support for high density media processing via GPU or FPGA acceleration for advanced high density AI and ML applications and shall scale from single site to 100s in regional deployments to 1000s globally

Additional details on architecture and use cases documented in supplementary PPT

Case Attributes

Description

Informational

TypeNew

Blueprint Family - Proposed   Name

Network Cloud, RT Cloud

Use Case

Real Time Edge Media Processing

Blueprint proposed

1. Unicycle POD (4-6 servers, single 16U rack configurations)
2. Tricycle POD (16U or 42U rack configurations, multi-rack)
3. Cruiser POD (Multi-rack Core Network Configurations, with spine leaf fabric and ToR switch)

Initial POD Cost (capex)

Estimates (TBD)

)

Scale

Applications

Edge Virtual Function Applications (reference)

1. Edge deployments at enterprises, entertainment venues, factory automation plants, public facilities where real time media processing required
2. Edge media applications include multi-party conferencing, gaming, surveillance, IoT generated content, AR and VR applications
3. Edge media applications requiring low latency and to overcome backhaul BW availability and costs being prohibitive 
4. Real time media analytics with AI and ML based applications for high value and media monetization applications

Power Restrictions

TBD

Preferred Infrastructure OrchestrationOS – CentOS or similar Linux, KVM

Under Cloud – Airship

OpenStack – VM Orchestration

Docker + K8S - Container Orchestration

VNF Orchestration - ONAP

SDNOVS-DPDK, SR-IOV

Workload Type

VMs, Containers

Additional Details

Edge Media solution shall enable support for high density media processing via GPU or FPGA acceleration for advanced high density AI and ML applications.