Edge Application Server Ranking for Low-Latency Service Selection
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Solution Overview
Problem
Existing edge computing systems face challenges in efficiently selecting and prioritizing edge application servers based on user equipment location, traffic distribution, latency, cost, and security requirements, leading to suboptimal user experience and resource utilization.
Innovation Solution
A system and method for edge application server selection that involves analyzing user equipment requests to rank and select edge application servers based on factors such as location, traffic distribution, latency, cost, and security, using algorithms and dynamic monitoring to ensure optimal server choice and seamless service transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If edge application servers are selected based on multiple factors (location, traffic distribution, latency, cost, security), then user experience and resource utilization are improved, but system complexity increases
Solution Approach 1:
The patent segments the server selection process into distinct functional modules: a scoring module that evaluates multiple factors (location, traffic distribution, latency, cost, security) independently, and a ranking module that aggregates scores to determine server priority. This modular segmentation allows complex multi-factor evaluation to be broken down into manageable components, improving reliability without overwhelming system complexity.
Solution Approach 2:
The system performs preliminary scoring and ranking of edge application servers before actual service requests are processed. By pre-evaluating and ranking servers based on multiple criteria, the system prepares optimal server selections in advance, ensuring improved user experience when requests arrive while avoiding complex real-time decision-making during service delivery.
2Loss of time
If dynamic monitoring and algorithms are used for optimal server selection, then latency is reduced, but computational overhead increases
Solution Approach 1:
The patent implements preliminary ranking of edge application servers based on historical performance data, location information, and traffic patterns before actual service requests arrive. This pre-computation of server rankings reduces the computational work needed during real-time request processing, thereby reducing latency while minimizing computational overhead during critical service delivery moments.
Solution Approach 2:
The system continuously monitors server performance metrics and feeds this information back into the scoring mechanism. This feedback loop allows the system to adjust server rankings based on real-time conditions without requiring complex re-evaluation for each request, reducing both latency and computational overhead by leveraging historical trends and incremental updates.
3Productivity
If multiple edge application servers are ranked and selected based on complex criteria, then resource utilization is optimized, but difficulty of detecting and measuring performance increases
Solution Approach 1:
The patent introduces an intermediary scoring mechanism that translates complex performance factors (location, traffic distribution, latency, cost, security) into standardized numerical scores. This intermediary scoring system simplifies performance measurement by converting difficult-to-measure factors into comparable metrics, enabling optimized resource utilization across multiple servers while reducing the difficulty of detecting and measuring overall system performance.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a first request from a first user equipment for a first communication service, acquiring, based on the obtaining of the first request, first information, analyzing, based on the acquiring of the first information, the first information to rank a first plurality of servers for serving as an edge application server in respect of the first user equipment, resulting in a first plurality of ranked servers, and selecting a server of the first plurality of ranked servers to serve as the edge application server in respect of the first user equipment. Other embodiments are disclosed.