Cloud & Network Synergy

Accelerating ICT transformation and service innovation

Lightweight Dual-Engine Edge Cloud Introduction

Lightweight dual-engine edge cloud by mixed deployment of containers and virtual machines introduces rich cloud native technology stacks to assist ICT edge application for faster distribution, deployment, resiliency and cross-cloud migration. It provides a centralized API distribution center, configuration center, backup center, security center, and fault management center to provide consistent infrastructure management services and Zero Touch experience for massive edge clouds.

In order to adapt to various deployment scenarios of edge computing, the solution provides multiple deployment modes:

1. Independent bare-metal container cluster edge cloud

The independent bare-metal container cluster edge cloud solution deploys the Kubernetes cluster directly through the bare-meta. It supports multiple runtimes, and provides the application container, security container (KataContainer) and VM container (Kubevirt) services, unifying the cloud native technology stack and further reducing the resource overhead. 

2. Remote deployment edge cloud

The remote deployment  edge cloud solution implements remote deployment of compute nodes and network optimization to meet the deployment requirements of super-edge nodes and further reduce the overhead of control nodes.

3. Lightweight deployment edge cloud

The lightweight edge cloud reduces the overhead of the control node by over 50% through component clipping and capacity optimization. The lightweight edge cloud can be customized and expanded with capacity.

Lightweight dual-engine edge cloud solution shares as much as possible the mature resource management system in the NFV field, including unified computing (CPU, GPU, FPGA), unified network (Neutron, SDN, SmartNIC), unified storage (Cinder, Ceph), unified security (vFW, Keystone), unified high availability (backup, disaster recovery), further improving resource utilization efficiency and reducing system integration complexity.

Customer Value