Abstract: A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.

Abstract: A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.

Abstract: Using the disclosed technology, a client device can receive a response from a real-time bidding engine of a real time bidding advertisement insertion system. The response includes information related to a video advertisement to be played by a video player at the client device. The client device can provide the video advertisement to a video player on the client device, execute a program associated with a third-party service provider and send a signaling to a destination provided by the third-party service provider to indicate occurrence of a predefined event as defined by the third-party service provider.

Abstract: A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.

Abstract: A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.

Abstract: A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.

Abstract: A client-side component in a real-time bidding (RTB) system for video advertisements configures the client device to, in response to a request for a video advertisement sent by the client device to the real-time bidding system, receive a first set of information associated with the video advertisement, parse the received first set of information to obtain the video advertisement and associated pixel firing information, provide the video advertisement to a video player on the client device, and fire a first pixel upon occurrence of a first predefined event associated with the video advertisement.

Abstract: Techniques and systems for operating a video ad exchange includes controlling an ad server to receive ad requests from viewer devices, provide ad responses to viewer devices, generate an ad delivery data file that includes information about delivery of ads to the viewer devices, and transfer the ad delivery data file to a distributed computing cloud. The technique further includes controlling an ad data infrastructure mechanism to download the cloud-based ad delivery data file into a local memory, and process the copied ad delivery data file to generate billing data. An ad data infrastructure mechanism receives a configuration file from the ad server, verifies that all items in the configuration file from the ad server were used in the generation of the first billing data, and removes non-verifiable items from the first billing data to generate a final billing data.

Abstract: Using the disclosed technology, a client device can receive a response from a real-time bidding engine of a real time bidding advertisement insertion system. The response includes information related to a video advertisement to be played by a video player at the client device. The client device can provide the video advertisement to a video player on the client device, execute a program associated with a third-party service provider and send a signaling to a destination provided by the third-party service provider to indicate occurrence of a predefined event as defined by the third-party service provider.

Abstract: A client-side component in a real-time bidding (RTB) system for video advertisements configures the client device to, in response to a request for a video advertisement sent by the client device to the real-time bidding system, receive a first set of information associated with the video advertisement, parse the received first set of information to obtain the video advertisement and associated pixel firing information, provide the video advertisement to a video player on the client device, and fire a first pixel upon occurrence of a first predefined event associated with the video advertisement.

Abstract: A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.

Abstract: Techniques and systems for operating a video ad exchange includes controlling an ad server to receive ad requests from viewer devices, provide ad responses to viewer devices, generate an ad delivery data file that includes information about delivery of ads to the viewer devices, and transfer the ad delivery data file to a distributed computing cloud. The technique further includes controlling an ad data infrastructure mechanism to download the cloud-based ad delivery data file into a local memory, and process the copied ad delivery data file to generate billing data. An ad data infrastructure mechanism receives a configuration file from the ad server, verifies that all items in the configuration file from the ad server were used in the generation of the first billing data, and removes non-verifiable items from the first billing data to generate a final billing data.