An analysis of Caduceus decentralized edge rendering technology — a breakdown of its native tools which are empowering distribution.
Decentralized edge rendering is the “last mile” of Metaverse development and will change the construction of application’s, improving the quality of assets and user experience in the Metaverse field.
Greater developments in artificial intelligence and new application scenarios, such as VR, edge rendering, and edge computing, will help to improve performance and capacity, improving the Metaverse landscape for both consumers and developers.
So how will Caduceus native tools help to contribute to Metaverse development?
With a flexible and powerful distributed node network, Caduceus can transfer a large amount of storage, complex computing, and graphics rendering to the background of their distributed application system, helping to improve efficiencies on the network.
Helping to fundamentally solve issues surrounding application sharing, poor online experience, resourcing, and maintenance, which is often an inconvenience — the distributed node network creates independent hardware performance, which utilizes cross platform and cross terminal transfers in the XR system.
Caduceus’ edge computing deploys nodes on the edge of the network helping to realize real time data processing, with the benefits of optimized reliability and low resource consumption.
In the context of the Metaverse, edge rendering is not only helping to fix the shortcomings of traditional cloud computing, but it also promotes other real time computing and distributed storage techniques.
Caduceus will help developers quickly access decentralized rendering and real time computing services so they can obtain high quality services to improve business expansion, with broad development prospects and rich application scenarios.
1. 5G network field
The 5G network and edge computing are very similar when it comes to the benefits of each piece of tech. With edge computing, 5G networks are able to take advantage of benefits including low latency, high bandwidth and increased capacity. The advantages of edge computing technology meanwhile, solve the problem of insufficient bandwidth — improving performance defects, such as network delays, which greatly improve the user experience.
2. Computing field
Computing power is an important performance indicator of edge computing nodes. Based on operator nodes and the existing network architecture, it provides distributed node resources, helping to reduce delays and the workload processing terminal data at the cloud computing centre.
3. Distributed storage field
Edge computing transfers data, through a simple algorithm originally performed in the cloud computing centre to edge nodes. It reduces latency and increases privacy, by limiting the capacity of edge nodes — with sophisticated architecture to store data, made up of hardware and storage solutions.
Based on virtual storage devices, the distributed architecture integrates storage management, data protection, and network communication into nodes — with virtual machines at the centre, enabling optimized performance and reliability.
4. Real-time computing
The Caduceus edge rendering and computing platform includes five functional modules made up of rendering and storage applications, smart contracts, security management, and DAO organizational tools. Furthermore, intelligent integrations between them, provide technical support for application functions for businesses with different application scenarios.
Technological advancements with decentralized edge rendering are set to affect every aspect of our lives. Based on the distributed node system, the technology is enabling edge rendering and real time computing, to make informed decisions in the ecosystem, and in doing so realizes new and revolutionary applications. At the same time, it is solving the drawbacks of congestion found in centralized systems and solving the problem of the lack of computing resources.
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