Abstract: Systems and methods for tracking resources used by triggers such as alarms and timers that are used by mobile applications to schedule tasks and intelligently manipulating the timing of the triggers to optimize usage of resources such as, but not limited to: network, battery, CPU and/or memory are disclosed. In one embodiment, an intelligent alarm manipulator and resource tracker tracks triggers from multiple applications on a mobile device and corresponding use of resources resulting from the triggers on a mobile device. The intelligent alarm manipulator and resource tracker further determines correlations between the triggers and the corresponding use of the resources on the mobile device and manipulates, based on the correlations, timing or frequency of some or all of the triggers to optimize the use of the resources on the mobile device.

Abstract: Systems and methods for tracking resources used by triggers such as alarms and timers that are used by mobile applications to schedule tasks and intelligently manipulating the timing of the triggers to optimize usage of resources such as, but not limited to: network, battery, CPU and/or memory are disclosed. In one embodiment, an intelligent alarm manipulator and resource tracker tracks triggers from multiple applications on a mobile device and corresponding use of resources resulting from the triggers on a mobile device. The intelligent alarm manipulator and resource tracker further determines correlations between the triggers and the corresponding use of the resources on the mobile device and manipulates, based on the correlations, timing or frequency of some or all of the triggers to optimize the use of the resources on the mobile device.

Abstract: Systems and methods for optimizing keepalives or other non-interactive or background traffic from applications on a mobile device are disclosed. A keepalive optimizer can detect keepalive and other background traffic and optimize such traffic by blocking keepalives, advancing or delaying execution of keepalives, delaying repeatable background requests based on radio state, device state or characteristics, policy, transaction characteristics, application characteristics, and/or the like. The disclosed keepalive optimization methods facilitate management of traffic and/or conservation of resources on the mobile device and the network. The keepalive optimization can be performed by an application sending the keepalives or by a local proxy on the mobile device.

Abstract: Systems and methods for tracking resources used by triggers such as alarms and timers that are used by mobile applications to schedule tasks and intelligently manipulating the timing of the triggers to optimize usage of resources such as, but not limited to: network, battery, CPU and/or memory are disclosed. In one embodiment, an intelligent alarm manipulator and resource tracker tracks triggers from multiple applications on a mobile device and corresponding use of resources resulting from the triggers on a mobile device. The intelligent alarm manipulator and resource tracker further determines correlations between the triggers and the corresponding use of the resources on the mobile device and manipulates, based on the correlations, timing or frequency of some or all of the triggers to optimize the use of the resources on the mobile device.

Abstract: A method of sharing a state of an application or a card from a first user device to a second user device is provided. The card is representative of the state. The method includes: receiving, at a processor of the first user device, a user share input; in response to the user share input, determining app state information; generating a data object representative of the state or the card based on the app state information; generating share and destination requests; selecting a share method and a destination link based on responses to the share and destination requests; formatting the data object to generate a message; and transmitting the message to the second user device based on the share method and the destination link. The application is executed on the processor. The transmitting of the message shares the state or the card with the second user device.

Abstract: According to one aspect, the subject matter described herein includes a method for signaling optimization in a wireless network utilizing proprietary and non-proprietary protocols. A first connection is established between an application on a mobile device and a local proxy on the mobile device, a second connection is established between the local proxy and a proxy server not located on the mobile device, and a third connection is established between the proxy server and a content server. A byte stream between client and server is communicated between the client and the server via the first, second, and third connections. The mobile device performs signaling optimization to optimize traffic over the second connection.

Abstract: According to one aspect, the subject matter described herein includes a method for signaling optimization in a wireless network utilizing proprietary and non-proprietary protocols. A first connection is established between an application on a mobile device and a local proxy on the mobile device, a second connection is established between the local proxy and a proxy server not located on the mobile device, and a third connection is established between the proxy server and a content server. A byte stream between client and server is communicated between the client and the server via the first, second, and third connections. The mobile device performs signaling optimization to optimize traffic over the second connection.

Abstract: Techniques for temporarily and/or partially offloading mobile applications to one or more remote virtual machines in a server include establishing an application copy of a mobile application installed on a mobile device at a remote virtual machine, suspending the mobile application on the mobile device and offloading operations of the mobile application to the application copy at the remote virtual machine for a period of time. Suspending the mobile application and offloading its operations to the remote virtual machine for the period of time reduces consumption of resources on the mobile device. The virtual machine executes the application copy in the same manner the mobile device would execute the mobile application and transfers data from the execution to the mobile application at the end of the period of time to allow the mobile application to update itself and resume its operation without any loss of data or functionality.

Abstract: Systems and methods for optimizing keepalives or other non-interactive or background traffic from applications on a mobile device are disclosed. A keepalive optimizer can detect keepalive and other background traffic and optimize such traffic by blocking keepalives, advancing or delaying execution of keepalives, delaying repeatable background requests based on radio state, device state or characteristics, policy, transaction characteristics, application characteristics, and/or the like. The disclosed keepalive optimization methods facilitate management of traffic and/or conservation of resources on the mobile device and the network. The keepalive optimization can be performed by an application sending the keepalives or by a local proxy on the mobile device.

Abstract: Techniques for temporarily and/or partially offloading mobile applications to one or more remote virtual machines in a server include establishing an application copy of a mobile application installed on a mobile device at a remote virtual machine, suspending the mobile application on the mobile device and offloading operations of the mobile application to the application copy at the remote virtual machine for a period of time. Suspending the mobile application and offloading its operations to the remote virtual machine for the period of time reduces consumption of resources on the mobile device. The virtual machine executes the application copy in the same manner the mobile device would execute the mobile application and transfers data from the execution to the mobile application at the end of the period of time to allow the mobile application to update itself and resume its operation without any loss of data or functionality.

Abstract: Systems and methods for optimizing keepalives or other non-interactive or background traffic from applications on a mobile device are disclosed. A keepalive optimizer can detect keepalive and other background traffic and optimize such traffic by blocking keepalives, advancing or delaying execution of keepalives, delaying repeatable background requests based on radio state, device state or characteristics, policy, transaction characteristics, application characteristics, and/or the like. The disclosed keepalive optimization methods facilitate management of traffic and/or conservation of resources on the mobile device and the network. The keepalive optimization can be performed by an application sending the keepalives or by a local proxy on the mobile device.

Abstract: A method of sharing a state of an application or a card from a first user device to a second user device is provided. The card is representative of the state. The method includes: receiving, at a processor of the first user device, a user share input; in response to the user share input, determining app state information; generating a data object representative of the state or the card based on the app state information; generating share and destination requests; selecting a share method and a destination link based on responses to the share and destination requests; formatting the data object to generate a message; and transmitting the message to the second user device based on the share method and the destination link. The application is executed on the processor. The transmitting of the message shares the state or the card with the second user device.

Abstract: A method of sharing a state of an application by a first user device to a second user device is provided. The method includes: receiving at a processor of the first user device a user input to share the state, where the application is executed on the processor at the first user device; in response to the user input, generating share and destination requests selecting a share method and a destination link based on responses to the share and destination requests; determining app state information corresponding to the state; and generating via the processor a data object based on the app state information. The method further includes transmitting the data object from the processor to a sharing server or a second user device based on the share method and the destination link, wherein the transmitting of the data object shares the state with the second user device.

Abstract: Systems and methods for optimizing keepalives or other non-interactive or background traffic from applications on a mobile device are disclosed. A keepalive optimizer can detect keepalive and other background traffic and optimize such traffic by blocking keepalives, advancing or delaying execution of keepalives, delaying repeatable background requests based on radio state, device state or characteristics, policy, transaction characteristics, application characteristics, and/or the like. The disclosed keepalive optimization methods facilitate management of traffic and/or conservation of resources on the mobile device and the network. The keepalive optimization can be performed by an application sending the keepalives or by a local proxy on the mobile device.

Abstract: Systems and methods for tracking resources used by triggers such as alarms and timers that are used by mobile applications to schedule tasks and intelligently manipulating the timing of the triggers to optimize usage of resources such as, but not limited to: network, battery, CPU and/or memory are disclosed. In one embodiment, an intelligent alarm manipulator and resource tracker tracks triggers from multiple applications on a mobile device and corresponding use of resources resulting from the triggers on a mobile device. The intelligent alarm manipulator and resource tracker further determines correlations between the triggers and the corresponding use of the resources on the mobile device and manipulates, based on the correlations, timing or frequency of some or all of the triggers to optimize the use of the resources on the mobile device.

Abstract: Systems and methods for optimizing keepalives or other non-interactive or background traffic from applications on a mobile device are disclosed. A keepalive optimizer can detect keepalive and other background traffic and optimize such traffic by blocking keepalives, advancing or delaying execution of keepalives, delaying repeatable background requests based on radio state, device state or characteristics, policy, transaction characteristics, application characteristics, and/or the like. The disclosed keepalive optimization methods facilitate management of traffic and/or conservation of resources on the mobile device and the network. The keepalive optimization can be performed by an application sending the keepalives or by a local proxy on the mobile device.

Abstract: Systems and methods of optimizing network transaction traffic originating at a mobile device are provided. The systems and methods includes identifying network transaction parameters corresponding to an application and utilizing the network transaction parameters to execute a network transaction in advance of an expected schedule or after a delay to optimize the network transaction traffic.

Abstract: Systems and methods of optimizing background traffic originating at a mobile device are provided. The systems and methods include identifying a background request to be delayed for transmission to a wireless network, delaying the background request for a period of time when a state of the mobile device meets a delay criteria, and responsive to detecting a change in the state of the mobile device or expiration of the period of time, transmitting the background request to the wireless network.

Abstract: Systems and methods of optimizing network transaction traffic originating at a mobile device are provided. The systems and methods includes identifying network transaction parameters corresponding to an application and utilizing the network transaction parameters to execute a network transaction in advance of an expected schedule or after a delay to optimize the network transaction traffic.

Abstract: Systems and methods for optimizing keepalives or other non-interactive or background traffic from applications on a mobile device are disclosed. A keepalive optimizer can detect keepalive and other background traffic and optimize such traffic by blocking keepalives, advancing or delaying execution of keepalives, delaying repeatable background requests based on radio state, device state or characteristics, policy, transaction characteristics, application characteristics, and/or the like. The disclosed keepalive optimization methods facilitate management of traffic and/or conservation of resources on the mobile device and the network. The keepalive optimization can be performed by an application sending the keepalives or by a local proxy on the mobile device.