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New Energy-Edge Computing Energy Efficiency

Edge Computing Energy Efficiency
  • Company C-Century-Old Power Giant


  • Company C is one of the largest private power companies in the Asia-Pacific region with a history of operating for over 100 years. It has invested in over 20 business nodes in the mainland of China, ranging from power generation, transmission to distribution. 


  • Sustainable development and low-carbon environmental protection are integral part of its core corporate values. It is committed to gaining more proactive and smarter IT governance control capabilities through digital transformation solutions to help edge computing energy efficiency, for greater improvements in production management, industrial design, control assistance, and even new technologies such as Internet of Things. Here we recommend industrial edge computing from GoSD-WAN.

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GOSDWAN's Innovation in Edge Computing Energy Efficiency

From rigid tunnels to flexible networks

The Industrial Internet results from the convergence of production and edge computing energy efficiency, analytics, sensing technologies, and Internet connectivity. With edge computing energy efficiency,  connecting intelligent machines and ultimately connecting people and machines, in combination with software and big data analytics, companies can work more efficiently, economically, environmental friendly and with safer management. Therefore, the ability to provide larger and more flexible bandwidth channels to meet the need of business developments, and to interconnect data elements across the network with key cloud-based applications in real time is the underlying logic of digital transformation for new energy companies.

Network management visualization

The diversity of network structures inevitably generates a large number of network elements and links, and inefficiency and deviation easily occur on the service as well as device side. To realize edge computing energy efficiency, new industrial enterprises need compatible monitoring and alerting tools for business logic. At least two basic features, application label customization and collection depth customization, are required at project introduction to effectively support intelligent network visualization outside the framework of traditional network management.

Data cloud and business automation

Digital transformation leads to the exponential expansion of data held by the enterprise, and unifying it in the traditional data center for statistical analysis, computation and mining is expensive and difficult. Intelligent enterprises will build a global view of data assets, and the collection, summary, analysis, mining and archiving of human-machine data will be done more with edge computing energy efficiency, with a more balanced dynamic scheduling based on the link and computing resource overhead of the whole network.

Network redundancy and multiplexing backups

Industrial enterprises usually keep the original network composed of private lines such as MPLS VPN or IEPL for the use of the original information system and some critical latency-sensitive applications, but at the same time use the newly expanded SD-WAN edge computing energy efficiency as a carrier for non-critical applications and a backup channel for critical applications. Therefore, the LAN and WAN of service nodes will give priority to MPLS VPN + SD-WAN dual-active Hybrid WAN mode, and ensure that the traffic has redundancy structure at the core routing level to guarantee high availability.

Highlights of Technical Design In New and Renewable Energy

Seamless connection to existing network and multi-data platform handover

The new SD-WAN network and the existing MPLS-VPN network are seamlessly connected at each business node through SD-Branch and intranet optimization. The SD-WAN solution takes over the definition, scheduling and routing of service traffic to form a Hybrid WAN architecture.

High availability design

Based on end-to-end redundancy design, the SD-WAN solution delivers 99.99% network availability and automatic service switchover for disaster recovery. Its monitoring background performs real-time monitoring of key indicators to sense service jitters.

Customized SaaS network management

The single-tenant SaaS Network Management system, independently designed and deployed for the customer, highlights key indicators concerned by the customer and supports configuring alarm thresholds. It automatically generates service performance reports regularly in a configured format.

Highlights of Technical Design In New and Renewable Energy

GOSDWAN Topology Diagram in New and Renewable Energy

GOSDWAN Topology Diagram in New and Renewable Energy

Edge Computing Energy Efficiency Blog

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