A surveillance satellite that has detected a significant high luminance generates launch sensing data indicating a launch time point corresponding to a detection time point, a launch coordinate value expressing a position at which the significant high luminance was detected, and a line-of-sight vector at the detection time point and containing surveillance data at the detection time point and transmits the launch sensing data. A communication satellite that passes through a point in a communication range with respect to the surveillance satellite to transmit the launch sensing data receives the launch sensing data and transmits the launch sensing data to remaining communication satellites via a satellite communication network.

A surveillance satellite that has detected a significant high luminance generates launch sensing data indicating a launch time point corresponding to a detection time point, a launch coordinate value expressing a position at which the significant high luminance was detected, and a line-of-sight vector at the detection time point and containing surveillance data at the detection time point and transmits the launch sensing data. A communication satellite that passes through a point in a communication range with respect to the surveillance satellite to transmit the launch sensing data receives the launch sensing data and transmits the launch sensing data to remaining communication satellites via a satellite communication network.

In one example, the present disclosure describes a device, computer-readable medium, and method for scaling network capacity predictively, based on customer interest. For instance, in one example, a method includes predicting an interest of a first customer in data content that will be available for consumption over a data network at a time in the future, wherein the predicting is based on customer data including at least a search pattern associated with the first customer, flagging the data content when the predicting indicates at least a threshold degree of likelihood that the first customer will be interested in the data content, and scaling an allocation of resources of the data network to the first customer, based on the flagging.

In one example, the present disclosure describes a device, computer-readable medium, and method for scaling network capacity predictively, based on customer interest. For instance, in one example, a method includes predicting an interest of a first customer in data content that will be available for consumption over a data network at a time in the future, wherein the predicting is based on customer data including at least a search pattern associated with the first customer, flagging the data content when the predicting indicates at least a threshold degree of likelihood that the first customer will be interested in the data content, and scaling an allocation of resources of the data network to the first customer, based on the flagging.