Network Slicing for Virtual Data Center Resource Allocation
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Solution Overview
Problem
Current network slicing technologies fail to provide an efficient end-to-end (E2E) virtual network slice environment that supports personalized services for terminals, limiting the ability to optimize data services for communication networks and ensuring Quality of Service (QoS) for each user.
Innovation Solution
The implementation of a system that generates virtual data center resources in both edge and core networks through network slicing, allowing for the allocation of these resources to each terminal service, and includes an edge cloud device with identification and service management units to detect and provide application services based on the communication network type, thereby creating an independent virtual network environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network slicing technology is used to separate physical network into virtual networks, then independent networks can be provided according to service characteristics, but the ability to provide efficient end-to-end virtual network slice environment supporting personalized services is limited
Solution Approach 1:
The patent segments the network into multiple virtual network slices, each dedicated to specific service types (e.g., eMBB, URLLC, mMTC). This segmentation allows independent optimization of each slice for its specific service requirements while maintaining overall network functionality, directly resolving the contradiction between service adaptability and system complexity.
Solution Approach 2:
The patent introduces a vertical dimension of service-specific virtualization layers above the physical network infrastructure. By adding this dimensional layer, the system can provide personalized services without fundamentally redesigning the entire network architecture, thus improving adaptability while controlling complexity growth.
2Adaptability or versatility
If virtual data center resources are generated and allocated to each terminal service, then personalized service environment is supported, but the complexity of resource management increases
Solution Approach 1:
The patent creates a universal virtual data center resource pool that can be dynamically allocated to multiple terminal services. This multi-functional resource pool serves various service types (enhanced mobile broadband, ultra-reliable low-latency communication, massive machine-type communication) without requiring separate dedicated resources for each, thereby supporting personalized services while managing complexity through resource consolidation.
Solution Approach 2:
The patent implements dynamic resource allocation mechanisms where virtual data center resources are automatically assigned and reassigned based on real-time service requirements and terminal demands. This dynamic approach enables personalized service support while reducing management complexity compared to static dedicated resource allocation.
3Productivity
If application services are detected and provided based on communication network type, then data services optimized for specific networks are provided, but the complexity of service detection and allocation increases
Solution Approach 1:
The patent enables application services to self-detect and self-allocate based on the communication network type they are running on. The service detection and allocation process is automated and performed by the services themselves rather than requiring complex centralized control, thus achieving network-optimized data services while minimizing detection and allocation complexity.
4Reliability
If Quality of Service is ensured for each user through network slicing, then service reliability is improved, but the system complexity and overhead increase
Solution Approach 1:
The patent segments QoS management into slice-specific management domains, where each virtual network slice has its own QoS policies and guarantees. This segmentation allows QoS to be ensured for each user within their allocated slice without requiring complex cross-slice coordination, thereby improving reliability while controlling system overhead through localized management.
Data Source
AI summary
Disclosed is technology for a method of allocating different networks to respective services and users by allocating E2E network slices to a core network and a radio network and, more particularly, to technology for a new hybrid application distribution execution environment capable of realizing a virtual network environment (for example, a vDC) but allowing a data service optimized for a communication network used by a terminal to be easily provided (through API exposure).