Mobile Software Deployment via Distributed Repositories

The patent segments the centralized repository into distributed support package repositories located on multiple end devices throughout the network. Each end device hosts a local repository, dividing the deployment function across multiple nodes rather than relying on a single central repository. This segmentation enables parallel deployment operations and reduces the distance data must travel, thereby decreasing deployment time while maintaining broad coverage.

The patent introduces a spatial dimension to the deployment architecture by positioning support package repositories on geographically distributed end devices. Instead of a single centralized location, repositories are distributed across multiple physical locations in the network, creating a multi-dimensional deployment topology. This allows devices to download from the nearest available repository, reducing network traversal time and improving overall deployment efficiency.

The patent implements preliminary action by having end devices download and cache support packages locally before they are needed for deployment. The support package repository on each end device pre-stores necessary software packages, so when deployment is required, the packages are already available locally or can be quickly obtained from nearby nodes. This eliminates the need for large-volume downloads during the actual deployment process, significantly improving deployment speed while maintaining mobile network usage.

The patent uses copying by replicating support packages across multiple end devices that serve as repository hosts. Instead of all devices downloading from a single central source, each repository node contains copies of the necessary support packages. This replication strategy distributes the bandwidth load across multiple connections and allows parallel downloads, thereby increasing overall deployment speed while supporting device mobility throughout the network coverage area.

The patent implements feedback mechanisms where end devices continuously monitor and report their location and network status to the deployment orchestrator. The orchestrator receives real-time feedback about device movement and IP address changes, allowing it to dynamically adjust deployment strategies. When a device moves to a new location with a different IP address, the feedback loop enables the orchestrator to re-establish connections and maintain deployment continuity, thereby preserving reliability while supporting mobility.

The patent applies dynamics by making the deployment architecture adaptive to changing network conditions. The system dynamically adjusts repository selection based on current device locations and network topology. When devices move and IP addresses change, the deployment orchestrator dynamically reroutes deployment operations to maintain connectivity. This dynamic adaptation allows the system to maintain high reliability even as devices move freely throughout the mobile network coverage area.

The patent applies local quality by tailoring the support packages deployed to each end device according to its specific hardware configuration. The deployment orchestrator analyzes the hardware capabilities of each device and selects appropriate software packages that match the local hardware characteristics. This ensures that each device receives customized software optimized for its specific components (such as cameras, microphones, Wi-Fi adaptors), enhancing functionality while managing deployment complexity through automated hardware-aware package selection.

The patent uses parameter changes by adapting deployment parameters based on detected hardware configurations. The system changes deployment parameters such as package selection, installation paths, and configuration settings according to the specific hardware parameters of each end device. This parameter adaptation allows the deployment process to automatically adjust to diverse hardware setups without requiring manual intervention, thereby enhancing hardware functionality while keeping deployment complexity manageable through automated parameter adjustment.