Teleworker Observability Profile Mapping for Network Performance
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Solution Overview
Problem
Existing observability tools face challenges in measuring network performance for teleworkers, as they require one-to-one measurements that balance performance optimization with minimal disruption to daily activities, which is difficult due to varying remote work environments.
Innovation Solution
Assigning static or dynamic observability profiles to teleworkers based on their identifiers, using real-time analytics to identify current traffic patterns and adjust network configurations for optimal performance measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If one-to-one observability measurements are implemented for teleworkers, then measurement precision is improved, but device complexity increases due to varying remote work environments
Solution Approach 1:
The system dynamically assigns observability profiles to teleworkers based on their current network environment, device capabilities, and traffic patterns. This dynamic adaptation allows the system to maintain precise measurements while adjusting complexity levels according to specific user contexts, rather than applying a uniform complex measurement approach to all teleworkers.
Solution Approach 2:
The patent implements local quality by tailoring observability measurements to individual teleworkers' specific needs, network conditions, and device characteristics. Each teleworker receives a customized observability profile that optimizes measurement precision for their local environment while avoiding unnecessary complexity in configurations that don't apply to their specific situation.
2Adaptability or versatility
If real-time analytics are used to identify current traffic patterns, then adaptability is improved, but use of energy increases due to continuous monitoring requirements
Solution Approach 1:
The system implements periodic action by updating observability profiles at intervals based on detected traffic pattern changes, rather than continuously monitoring and updating in real-time. This approach maintains adaptability to traffic patterns while significantly reducing the energy consumption associated with constant real-time analytics processing.
Solution Approach 2:
The patent applies preliminary action by pre-defining multiple observability profiles that correspond to different traffic patterns and network conditions. When traffic patterns change, the system can quickly switch between pre-configured profiles rather than performing complex real-time analytics, thereby maintaining adaptability while reducing computational energy requirements.
3Measurement precision
If observability measurements are executed for all data sessions, then measurement precision is improved, but productivity decreases due to potential disruption of daily activities
Solution Approach 1:
The system applies partial action by executing observability measurements selectively rather than for all data sessions. Observability profiles define which specific measurements are taken based on the teleworker's role, network conditions, and application priorities, thereby maintaining measurement precision for critical sessions while avoiding unnecessary measurements that could disrupt productivity.
Solution Approach 2:
The patent implements parameter changes by adjusting the intensity and frequency of observability measurements based on detected network conditions and application requirements. When network conditions are stable and applications are non-critical, measurement parameters are reduced to minimize disruption, while maintaining high measurement precision when network issues are detected or for mission-critical applications.
Data Source
AI summary
A connection request is received from a user device associated with a user. The connection request includes an identifier associated with a profile associated with the user, the profile being a static profile or a dynamic profile. An observability profile associated with the user is identified based on the profile when the profile is a static profile and based on a current traffic profile associated with the user device when the profile is a dynamic profile. Measurements associated with a data session are executed for the user device based on the observability profile and one or more configurations are adjusted in a network to improve performance of the data session based on the measurements.