Traffic Path Change Detection for Mobile Edge Computing
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Solution Overview
Problem
In mobile edge computing systems, user equipment (UE) movement across different coverage areas leads to changes in data traffic paths, causing service latency and quality of service (QoS) issues, as existing solutions like increasing bandwidth are costly and ineffective in reducing delays due to transmission propagation and data processing.
Innovation Solution
Implementing a traffic path change detection method using traffic filters on the data plane of virtualization infrastructure machines to identify and notify mobile edge hosts of UE traffic changes, allowing for service relocation to nearby hosts with better QoS and lower latency, thereby optimizing service delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If bandwidth is increased to reduce service latency, then data transmission capacity is improved, but system cost increases and propagation delay cannot be effectively reduced
Solution Approach 1:
The patent segments the centralized cloud computing service into distributed edge computing nodes deployed across multiple locations. By dividing the monolithic cloud infrastructure into geographically distributed edge servers, the system reduces transmission distance and propagation delay without requiring proportional bandwidth increases, thereby lowering the cost-time tradeoff
Solution Approach 2:
The patent introduces a spatial dimension to computing resource deployment by placing edge computing nodes at multiple geographic locations closer to users. This dimensional change from centralized to distributed architecture reduces physical transmission distance, thereby reducing latency without proportionally increasing system cost
2Adaptability or versatility
If UE moves to another coverage area, then service coverage is maintained, but traffic path changes causing service latency and QoS degradation
Solution Approach 1:
The patent pre-deploys identical or similar application instances across multiple edge computing nodes before UE movement occurs. When UE moves to a different coverage area, the system can immediately switch the UE to the pre-existing application instance at the new location, avoiding service interruption and latency associated with remote cloud communication
Solution Approach 2:
The patent introduces a traffic path change detection mechanism as an intermediary layer between the UE and the application instances. This detection mechanism monitors UE location and traffic paths, enabling proactive switching to local edge nodes before significant latency occurs, thereby maintaining QoS during mobility
3Adaptability or versatility
If traffic path change detection is implemented, then service relocation capability is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service through automated traffic path change detection and service relocation mechanisms. The system automatically monitors UE movement, detects traffic path changes, and triggers service relocation without requiring complex manual orchestration or centralized control, thereby reducing operational complexity while maintaining high adaptability
Solution Approach 2:
The patent employs feedback mechanisms where the traffic path change detection mechanism continuously monitors UE location and network conditions, and this information feeds back to the service relocation decision logic. This closed-loop feedback enables automated, context-aware service relocation without requiring complex open-loop control systems
Data Source
AI summary
Disclosed are methods, devices and systems for detecting data traffic path change of UE when it is being served by an Internet application instance running on a mobile edge host, and moves to the coverage area of another mobile edge host in mobile edge computing system. One exemplary method includes receiving an application resource request for a cloud-computing services from a user equipment (UE), and allocating resources at a mobile edge computing platform to the application resource request in lieu of a server of the cloud-computing services that is reachable via an internet connection. Examples of the disclosed technology may rely on packet header information in downlink or uplink traffic received by mobile edge host, and may be a detection method independent of the signaling notification in the underlying bearer network.