Policy-Based Remote Management for Home Devices
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Solution Overview
Problem
Current remote management solutions for home devices, such as CPEs, are inefficient and require manual intervention, making it difficult for network operators to manage large numbers of devices automatically.
Innovation Solution
A policy-based management method that identifies triggering events (device, scheduled, or user events) and evaluates device selection criteria to run specific policies, including activation, management, and transient policies, allowing for automated management actions like firmware upgrades and troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual intervention is used for device management, then operational flexibility is maintained, but management efficiency and scalability deteriorate
Solution Approach 1:
The system enables self-service management where the HDM server automatically executes policies on home devices without requiring manual technician intervention. The policy engine autonomously selects, downloads, and applies appropriate policies based on device state and triggering events, transforming manual operations into automated self-service management.
Solution Approach 2:
Policies are pre-defined and stored in the policy repository before actual management actions are needed. When a triggering event occurs, the system immediately executes the pre-prepared policy, eliminating the need for real-time manual decision-making and enabling proactive automated management.
2Ease of operation
If technicians perform on-site management operations, then detailed device configuration is possible, but operational costs and time consumption increase
Solution Approach 1:
The patent replaces the mechanical on-site technician visit system with an electronic remote management system. The HDM server communicates with home devices through network protocols, substituting physical travel and manual configuration with automated electronic policy execution, thereby eliminating time loss associated with truck rolls.
Solution Approach 2:
The HDM server acts as an intermediary between network operators and home devices. It receives management instructions, evaluates device states, selects appropriate policies from the repository, and executes them remotely, serving as a mediator that eliminates the need for direct technician-on-device interaction.
3Adaptability or versatility
If comprehensive management policies are implemented, then device control capability is improved, but system complexity increases
Solution Approach 1:
The management system is segmented into distinct functional modules: event detection module, policy selection module, policy execution module, and result evaluation module. This segmentation allows each component to handle specific management tasks independently, reducing overall system complexity while maintaining comprehensive management capability.
Solution Approach 2:
The policy repository stores universal policy templates that can be applied to multiple device types and scenarios. A single policy framework handles diverse management needs (firmware updates, configuration changes, diagnostics) through reusable policy patterns, reducing system complexity compared to device-specific management systems.
Data Source
AI summary
Policy-based management method for remote management of a home device (3), said method comprising:a triggering step wherein the operational state of the home device (3) changes under occurrence of a triggering event belonging to one of the following event categories:a device event, where the event is automatically produced by the home device (3);a scheduled event, where the event is automatically produced by a clock;a user event, where the event is produced by a user;an evaluation step, wherein a home device management (HDM) server (9) evaluates at least one device selection criterion;a policy run cycle, wherein the HDM server (9) runs a policy on the home device (3), said policy being selected among the following policies:an activation policy if the triggering event is of the device type;a management policy if the triggering event is of the scheduled type;a transient policy if the triggering event is of the user type.