Abstract: An adaptive networking system for power savings which applies to distributed computing systems includes a computing device which runs Adaptive Networking Component software which analyzes, obtains and maintains reliable network connection(s) to one or more mobile device(s) containing cooperating similar software. An Adaptive Networking Component provides power optimized, reliable network connection between a Computing device and a Mobile device. Enabled Software (for example, a communications application) uses the Adaptive Networking Component to reduce system power consumption while maintaining reliable network connections and best available user experience, compared to the power consumption, reliability and user experience when no Adaptive Networking Component(s) are available. The Adaptive Networking Component chooses between different communications transport mechanisms and communicates between connected devices to provide this service.

Abstract: A method or algorithm for classifying downloaded links or URL's based on the reason behind the download. Downloads are classified into categories, for example, a “visited” URL or an “embedded” URL. Categorizing these downloads allows other applications to collect information for storage, upload, or other action. This algorithm uses information from the browser history and packet streams to obtain and categorize the links or URL's for classification.

Abstract: A method or process enables the collection of data from mobile devices and mobile networks using filtering, compression, encryption, memory management, and power management technologies to collect mobile device metrics at the mobile device (client side), and then transmit these metrics from the mobile device to a server for processing by analytics software. The analytics processing may also occur directly on the mobile device. Policies are determined and configured at the processing server to drive and control the mobile device metrics captured, which may include but are not limited to, data usage (e.g. time of day, amount of data sent/received), voice usage (e.g. time of day, calls in/out of network, dropped calls, call duration), the location of the mobile device, cell patterns (e.g. problem cells, roaming), touch interactions, behavioral analysis (programs used, services uses), battery performance, CPU usage, memory usage, network usage (e.g. 2G, 3G, 3.5G, 4G, Wi-Fi, WiMAX), and the like.