Edge Tower Connection Decision System for Workload Optimization
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Solution Overview
Problem
Current device connection methods to edges/towers rely solely on signal strength, failing to consider workload-specific needs, power requirements, and connection quality, leading to suboptimal performance across various devices such as phones, cars, and AR glasses, which often connect to a single channel for all data needs.
Innovation Solution
A system and method that allow devices to choose the best edge or tower based on workload-specific parameters like communication needs, latency, computation requirements, and cost, enabling the splitting of workloads across multiple edges/towers and optimizing connections for each device's unique needs, using a scoring system that considers both cost and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices connect to the best tower based on signal strength, then connection reliability is improved, but workload-specific needs and power requirements are not considered
Solution Approach 1:
The patent segments the connection decision process into multiple independent evaluation dimensions: signal strength, workload requirements, power needs, and connection quality. Each dimension is evaluated separately and then integrated to form a comprehensive connection decision, allowing the system to optimize for different parameters based on specific device needs.
Solution Approach 2:
The system dynamically changes the evaluation parameters based on device state and workload characteristics. Different parameters are weighted differently depending on the specific needs of the device and its current tasks, enabling adaptive optimization rather than relying on a fixed signal-strength-only metric.
2Device complexity
If devices use a single channel for all data needs, then device complexity is reduced, but connection efficiency and performance are degraded
Solution Approach 1:
The patent segments data traffic into different channels based on workload type, priority, and performance requirements. Different applications and data streams are routed through appropriate channels, allowing simultaneous optimization for multiple objectives without requiring complex manual configuration.
Solution Approach 2:
The system dynamically allocates and switches between channels based on real-time workload conditions, network state, and performance requirements. Channels can be activated, deactivated, or reconfigured automatically to match current operational needs, providing flexibility without permanent complexity.
3Reliability
If the system considers multiple parameters for connection selection, then connection quality is improved, but decision-making complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where devices automatically evaluate multiple parameters and make connection decisions without external intervention. The system autonomously monitors signal strength, workload requirements, power state, and network conditions, then independently selects optimal connections, eliminating the need for complex user-side decision-making logic.
Solution Approach 2:
The system continuously monitors connection performance and feeds this information back into the decision-making process. Real-time feedback on actual connection quality, power consumption, and workload performance allows dynamic adjustment of evaluation weights and automatic reconfiguration, simplifying the apparent complexity through adaptive learning.
4Adaptability or versatility
If devices survey multiple towers continuously, then connection options are improved, but power consumption increases
Solution Approach 1:
The patent implements periodic survey cycles instead of continuous monitoring. Devices survey available towers and channels at predetermined intervals or triggered by specific events such as movement detection, workload changes, or connection quality degradation. This periodic approach maintains connection options while dramatically reducing average power consumption compared to continuous surveying.
Solution Approach 2:
The system performs preliminary surveys and evaluations in advance, building a cached knowledge base of available towers and their characteristics. This preliminary action allows the device to make quick connection decisions without continuous real-time surveying, maintaining adaptability while reducing ongoing power requirements.
Data Source
AI summary
A system, method, and computer program product are provided for implementing various device decisions regarding edges/towers. The method comprises one or more of: choosing a single best edge or tower for a device; splitting workloads between multiple edges or towers; and controlling multiple smart devices and deciding how to split a workload between them.