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SD-WAN Edge Computing in Manufacturing

Edge Computing In Manufacturing
  • Corporation J - Leading U.S.-Funded Pharmaceutical Company


  • Company J is a US-funded international biopharmaceutical industry leader that is building a global system for new drug R&D and manufacturing services. By empowering global pharmaceutical, biotechnological and medical device companies, Company J expands its services in fields such as chemical drug R&D and manufacturing, medical device testing. With a business platform for R&D innovation projects around the world, it shares industry databases with many research institutions and universities to build a comprehensive data warehouse of case studies and test samples.


  • Company J is currently seeking to integrate its production processes with digital transformation practices, and after introducing sd wan pro services and technologies such as Industrial Internet of Things (IoT), Cloud and big data analytics, to collect a large amount of data for the performance of machine learning and artificial intelligence algorithms in fault prediction, quality assurance, etc. The basis for the convergence of these SD-WAN edge computing technologies is connectivity. Highly secure, flexible and cost-effective intelligent connectivity SD-WAN edge computing is critical, especially the reconfiguration of connectivity between heterogeneous cloud platforms. Here we recommend industrial edge computing from GoSD-WAN.

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GOSDWAN's Innovation in SD-WAN Manufacturing

Multi-cloud Interconnection

New SD-Wan Manufacturing is characterized by diversified ecosystem and globalization. The industrial links become more refined, and different ecosystem partners from upstream and downstream links cooperate to achieve the simple goal of reducing costs, increasing efficiency, and balancing supply and demand. Globalization lies in pursuing higher price-performance ratio. To fulfil above two demands, enterprises in the wave of digital transformation with data as the carrier, become more relying on cloud computing and interworking of various kind of cloud products on even different multi cloud connectivity platform across a broader geographical area.

Low-latency, Light-load Inter-cloud Routing

Public clouds usually have better multi-line Internet egress and larger bandwidth, but it is difficult for cloud providers to guarantee bandwidth SLA for a single tenant. Multiple clouds, especially intercontinental public clouds, can only be synchronized through Direct Cloud Connection based on international lines.  But adding hard links is not the most cost-efficient solution for new SD-WAN manufacturing customers.  The SD-WAN can accelerate synchronization between heterogeneous public clouds with low-latency, light-load inter-cloud routing without involving dedicated lines, and such routing can be deployed on-demand and on a pay-as-you-go basis.

Software-defined Security

Systems of different enterprises, although in a common ecosystem, have their own security policies, asset management, and logs to guide task scheduling, decision-making, and distributing instructions. The benefits of digitization and automation are self-evident. However, new  SD-WAN manufacturing enterprises also need system security protection measures based on security domain.  Frequent manual adjustments of device policies for various access requests bring huge workload to the security management teams. A default feature of SD-WAN software-defined security is to describe security policies in the business language based on the business label, with physical device operations and translation done by the intermediate controller, achieving refined security management in a secure and cost-efficient way.

Edge Computing

As edge computing reduces network latency, container facilities such as small data centers deployed close to operational sites such as workshops, cab effectively avoid risks resulted from decision latency. In addition to cost reduction in hardware and infrastructure, the value of SD-WAN lies in high-frequency detection of network performance and path mapping to enhance latency awareness. When the network become worse, certain application information is processed on-site rather than being sent to the data center or the cloud via long path, making the data processing more responsive.

Edge Computing Manufacturing Technical Design Highlights

Heterogeneous Cloud Gateway

uCPE is directly generated inside different public cloud VPCs and managed by managed SD-WAN network at the edge of uCPE in the cloud. Transmission performance data of different customer interfaces is mapped in the customer’s visual network management background to provide latency, packet loss, jitter, and application analysis reports periodically.

Cross-region Inter-cloud Lateral (east-west) Routing Optimization

Without building dedicated lines, the original latency of hundreds of milliseconds is reduced to tens of milliseconds, thereby expanding the transmission capacity, which was previously a bottleneck, by several times.

High Redundancy Design

With end-to-end redundancy design of the whole network, when the latency index deteriorates, services are automatically switches to a backup path to ensure high availability of the production network.

Edge Computing Manufacturing Technical Design Highlights

GOSDWAN Topology Diagram in New Manufacturing

GOSDWAN Topology Diagram in New Manufacturing

Edge Computing In Manufacturing Blog

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