MEC Orchestrator Coordination for Mobile Network Resource Efficiency
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Solution Overview
Problem
Inefficient resource utilization in mobile networks due to independent optimization decisions between the cellular network and multi-access edge computing (MEC) domains, leading to suboptimal use of edge resources.
Innovation Solution
A method where a multi-access edge computing orchestrator monitors deployment metrics, receives optimization reports from the network orchestrator, and determines deployment suggestions to improve resource efficiency, which are then applied to optimize software application deployment on edge nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If independent optimization decisions are made in the MEC and cellular network domains, then each domain can operate autonomously, but resource utilization becomes inefficient
Solution Approach 1:
The patent merges the previously independent MEC and cellular network optimization domains into a unified coordination framework. The network orchestrator now receives information from both domains and generates coordinated optimization decisions, eliminating the inefficiency of independent operation while maintaining autonomous decision-making capabilities through the orchestrator's centralized control logic.
Solution Approach 2:
The network orchestrator serves as an intermediary between the MEC and cellular network domains. It receives information from both domains, processes the data, and generates coordinated optimization decisions that consider both domains' requirements, thereby improving resource utilization without sacrificing operational autonomy.
2Adaptability or versatility
If the MEC domain operates independently without receiving information from the cellular network, then the MEC orchestrator can make deployment decisions autonomously, but optimization efficiency becomes suboptimal
Solution Approach 1:
The network orchestrator acts as an intermediary that bridges the MEC and cellular network domains. It receives information from both domains and generates coordinated optimization decisions, allowing the MEC domain to maintain autonomous decision-making capability while improving optimization efficiency through access to cellular network information.
Solution Approach 2:
The system implements feedback loops where the network orchestrator receives information from both the MEC and cellular network domains, processes this information, and generates optimized deployment decisions. This feedback mechanism ensures that deployment decisions are based on current state information from both domains, improving optimization efficiency while maintaining adaptability.
3Speed
If deployment parameters are optimized without considering cross-domain context, then deployment decisions can be made quickly, but resource usage becomes inefficient
Solution Approach 1:
The network orchestrator performs preliminary actions by collecting and processing information from both MEC and cellular network domains before making deployment decisions. This preliminary information gathering and coordination enables faster decision-making that already accounts for cross-domain context, eliminating the need for iterative adjustments and improving both speed and resource efficiency.
Data Source
AI summary
An embodiment for coordinating edge computing in a mobile network by an MEC orchestrator. The embodiment may monitor deployment metrics and controlling deployment parameters related to a deployment of software applications on edge nodes of the mobile network The embodiment may receive an optimization report from a network orchestrator of the mobile network. The embodiment may, based on the optimization report, determine a current optimization efficiency of the mobile network. The embodiment may, if the optimization efficiency fulfils an inefficiency criterion, determine deployment suggestions having assigned one or more of the deployment parameters and being indicative of an expected response of one or more of the deployment metrics to a suggested variation of the assigned deployment parameters. The embodiment may transmit the deployment suggestions to the network orchestrator. The embodiment may, in response to receiving from the network orchestrator an indication of a selected deployment suggestion, apply the suggested variation.