G Zalmanovitch, GJ Scott, S Guday, AG Kwok… - US Patent …, 2018 - Google Patents
Embodiments manage use of different network connections for data transfer in view of priority information and a data usage plan identifying threshold limits associated with the …
G Zalmanovitch, GJ Scott, S Guday, AG Kwok… - US Patent …, 2019 - Google Patents
Embodiments attribute network data transfers to applica tions executing on a computing device. A data transfer service executes on the computing device to receive and process …
KK Jat - US Patent 11,064,382, 2021 - Google Patents
Abstract Systems and methods to understand the roadways (roads, highways, etc.) where customers are experiencing network congestion and the time of day when customer …
G Zalmanovitch, GJ Scott, S Guday, AG Kwok… - US Patent …, 2018 - Google Patents
Embodiments profile users and applications based on network data usage. Data usage statistics are collected and compared for the users and applications. Profiles are assigned to …
K Cui, L Zhang - US Patent App. 14/120,346, 2014 - Google Patents
A data traffic amount prompting method performed at a server is provided, in which a search result, including at least one target web page address, generated by a search engine in …
G Zalmanovitch, GJ Scott, S Guday, AG Kwok… - US Patent …, 2017 - Google Patents
Embodiments attribute network data transfers to applications executing on a computing device. A data transfer service executes on the computing device to receive and process …
EAC Laffaye, KH Kim - US Patent 9,854,517, 2017 - Google Patents
Abstract Systems and methods of scheduling data in background services on mobile devices are disclosed. An example method includes identifying data consumption patterns …
KK Jat - US Patent 11,678,200, 2023 - Google Patents
US11678200B2 - Identification of indoor and outdoor traffic usage of customers of a telecommunications network - Google Patents US11678200B2 - Identification of indoor and …
KK Jat, JS Sandhu, S Kondapally, J Sacks - US Patent 11,792,662, 2023 - Google Patents
Abstract Systems and methods that use historical data comprising capacity gain solutions and their associated gains at various locations to train a machine learning model. The …