Edge Computing y TIC para satisfacer necesidades diferenciadas

In the “Edge Computing+” reference model, based on the technology integration and innovation capability base provided by edge computing, ICT technologies represented by 5G, AI, high-performance computing, etc., are deeply integrated with edge computing technologies to form key technologies of “Edge Computing+” such as MEC, Edge AI, Edge HPC, Edge Security, etc., and provide industry users with integration capabilities such as efficient computing power, massive access, security protection, intelligent analysis, etc. through unified service interfaces.

“Edge Computing+”

In terms of the integration of 5G technologyLa computación de borde combina plenamente las características de 5G eMBB de gran ancho de banda, uRLLC de muy baja latencia, mMTC de gran conexión, etc., y traslada la capacidad de la nube al borde de la red móvil para satisfacer las necesidades de procesamiento de análisis inteligentes de alto rendimiento en tiempo real de muchos escenarios, como escenarios de coordinación vehículo-carretera, escenarios de fabricación inteligente y escenarios de energía inteligente.

Edge Computing y TIC para satisfacer necesidades diferenciadas

In terms of the convergence of artificial intelligence technologyJunto con la llegada de la ola de transformación digital a la industria, la tecnología de inteligencia artificial de borde, que combina la computación de borde y la inteligencia artificial, ejecutará algoritmos de inteligencia artificial en el borde para satisfacer las necesidades de procesamiento inteligente localizado y en tiempo real de muchos escenarios, como el transporte inteligente, la logística inteligente, la conservación inteligente del agua, etc.

In the integration of audio/video technology, aplicaciones de vídeo representadas por vídeo de ultra alta definición, visión industrial, AR/VR, etc., con las ventajas innatas de la "baja latencia, gran ancho de banda y gran conexión" de edge computing, puede ayudar a la transformación digital de diversas industrias, y satisfacer las necesidades de diversas industrias en cuanto a la naturaleza en tiempo real de los servicios de vídeo y la inteligencia de los datos de vídeo. La nueva tecnología se utilizará para satisfacer las necesidades de diversas industrias en cuanto a servicios de vídeo en tiempo real e inteligencia de los datos de vídeo.

In the integration of blockchain technology, by deploying blockchain services on edge nodes, it can not only provide real-time data storage for industrial applications, but also provide trusted data analysis and business execution.

Edge Computing y TIC para satisfacer necesidades diferenciadas

In terms of the convergence of security technology, edge nodes need to face massive device access, and face many challenges in terms of privacy protection and data security. The convergence of edge computing and security technology is reflected on the one hand in the construction of a secure and usable ecosystem to protect the security of edge computing architecture such as edge computing devices, infrastructure, edge applications, etc. On the other hand, it can provide all kinds of security services such as security gateway, security detection, and so on on the edge side.

In the integration of high-performance computing technologyLas aplicaciones de computación de alto rendimiento en la nube, la conducción automática, la fabricación digital y otros escenarios necesitan proporcionar recursos informáticos de alto rendimiento y una arquitectura informática en el extremo para satisfacer las necesidades de procesamiento de tareas de cálculo intensivo. Al mismo tiempo, las aplicaciones de computación de alto rendimiento en la nube se han convertido en una tendencia inevitable en el desarrollo de la industria, a través del despliegue de aplicaciones HPC en la nube en el lado del borde y el lado de la nube al mismo tiempo, satisfará plenamente la demanda de potencia de computación de alto rendimiento para aplicaciones industriales con flexibilidad y elasticidad.

Development Trends of Edge Computing and ICT Convergence in 2025

As technology continues to evolve, the convergence of they will present the following key trends:

1. Comprehensive Convergence of AI, IT, and OT

Historically, IT managed centralized data systems and analytics, while OT operated industrial machines and infrastructure, with these two domains running in silos. AI is accelerating this convergence by demanding faster, more cohesive data flows. Unified architectures such as Unified Namespace (UNS) are becoming the backbone of this convergence, enabling seamless integration of operational and IT data for faster, smarter decisions.

2. Accelerated Migration from Cloud to Edge

By 2025, it is expected that over 40% of large enterprises will adopt edge computing as part of their IT infrastructure. Advances in low-cost hyperconverged infrastructure (HCI) solutions further drive the adoption of this technology. Gartner predicts that by 2026, 40% of organizations will slow their cloud adoption due to the increasing difficulty of managing public cloud expenditures, which will further accelerate migration to the edge.

3. Edge Security Becomes a Top Priority

As the scale deployment expands, security challenges are becoming increasingly prominent. By 2025, enterprise investment in edge security will account for more than 25% of cybersecurity budgets, reflecting the market’s high emphasis on Edge Computing and ICT security convergence.

4. The Rise of Industry-Specific Solutions

Different industries have varying needs, which will drive the emergence of more industry-specific solutions:

Manufacturing: Smart factories supported by Edge AI and high-performance computing

Healthcare: Telemedicine and real-time health monitoring supported by edge computing

Smart cities: City management and services supported by distributed edge nodes

Retail: Edge video analytics and AI-driven personalized shopping experiences

Fuente: Network Convergence Industry and Standards Promotion Committee.

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