Conviva Inc.

Aditya Ravikumar Ganjam

Ion Stoica

Jibin Zhan

Hui Joyce Zhang

Karthik K Lakshminarayanan

Ningning Hu

Ryan J Huebsch

Steven R Mccanne

Faisal Zakaria Siddiqi

George C Necula

Alexey Serbin

Asad K Awan

Haijie Wu

Mei-Hsuan Lu

Davis Shepherd

John W Heffner

Nandini Iyer

Yan Li

Pawas Ranjan

Olivier Wellmann

Haoshuang Ji

Swapna Iyer

Alban Nicolas

Steven McCanne

Weijia Li

Xi Liu

Oleg Vasilyev

Ming Liu

Prashanth Pappu

Hui Zhang

Wensi Fu

Dilip Antony Joseph

Jose Caldeira Jesus

Alexander Schneidman

Alexander Kolbasov

Soumyadeb Mitra

Shubo Liu

Dmitry Ryashchenstsev

Saiguang Che

Konstantin Shinkarenko

Steven R McCane

Evaluating multi-dimensional information includes providing a plurality of initial dimensions. Each dimension represents a factor related to performance. It further includes receiving a first selection of a value for a first dimension in the plurality of initial dimensions. It further includes providing a plurality of potentially significant dimensions from among a set of dimensions. It further includes receiving a second selection of a second dimension from among the plurality of potentially significant dimensions. It further includes determining the plurality of potentially significant dimensions based on an indication of presence of outliers in the potentially significant dimension. A dimension that significantly affects performance is identified.

Automated surfacing of multi-dimensional insights

Facilitating a decision of a content player is disclosed. In some cases, performance information associated with a content player is received. The information is received from a client. A determination is made that an update should be sent to the client. The update is sent to the client. In other cases, information is received from an external entity. Based at least in part on the received information, an instruction is sent to a content player.

Facilitating client decisions

Determining a stateful metric includes receiving a first mapped event that is generated based on semantic mapping of a first raw event associated with a first time. It further includes receiving a second mapped event that is generated based on semantic mapping of a second raw event associated with a second time that is subsequent to the first time. It further includes determining a stateful metric based on the first mapped event and the second mapped event.

Semantic mapping

Per-viewer engagement-based video optimization is disclosed. A request for content associated with a first client is received. A model associated with the first client is obtained. The obtained model comprises at least one of behavior and playback preferences of a viewer associated with the first client. The obtained model is used to determine, for the first client, an optimal set of instructions usable to obtain content. A different set of instructions is determined to be optimal for a second client. The optimal set of instructions determined for the client is provided as output. The first client is configured to obtain content according to the optimal set of instructions determined for the first client.

Per-viewer engagement-based video optimization

Correlating information associated with playback of video segments is disclosed. Information associated with playback of a first video segment is obtained. Information associated with playback of a second video segment is obtained. The information associated with playback of the first video segment is correlated with the information associated with playback of the second video segment based at least in part on at least one of a client application identifier, a video session identifier, and a set of timestamps. Output is provided based at least in part on the correlating.

Correlating playback information of video segments

Advanced resource selection is disclosed. A request from a client to resolve an augmented domain is received at a Domain Name System (DNS) server. Information is extracted from the augmented domain name. The extracted information is used to select a particular resource from a set of resources to provide content to the client.

Advanced resource selection

Controlling dynamic reporting of content distribution performance information from a client is disclosed. The content distribution performance information associated with the delivery of content is generated. The content distribution performance information is reported to a content distribution monitor at a first reporting level. In response to a triggering event, the first reporting level is changed to a second reporting level. Additional content distribution performance information is reported according to the second reporting level.

Dynamic client logging and reporting

Generating streaming decisions at one or more remote servers on behalf of a local client is disclosed. An indication of a content request, multi-dimensional client information, and local state information are received from a client device. A record specific to the client device is generated, in a data store, using the received local state information. The data store includes a plurality of records corresponding to respective different client devices. A set of instructions usable by the client device to obtain and play content is determined based at least in part the local state information received from the client device. The determined set of instructions is transmitted to the client device.

Streaming decision in the cloud

Selecting an optimal bitrate range is disclosed. A request for content from a first client is received. An optimal subset of bitrates for the first client is determined. The optimal subset of bitrates for the first client is determined based at least in part on one or more real-time quality measures. A different optimal subset of bitrates is determined for a second client. An indication of the optimal subset of bitrates determined for the first client is provided to the first client. The first client is configured to obtain content according to the indication of the optimal subset of bitrates.

Dynamic bitrate range selection in the cloud for optimized video streaming

Directing a content player to a content source is disclosed. A message from a content management system including information associated with a client that is currently requesting content is received. Based at least in part on the information included in the message, a set of content sources is determined. Instructions indicating the set of content sources for the client are sent to the content management system.

Virtual resource locator

Providing network insights is disclosed. A mapping between a device identifier and one or more nodes in a network topology associated with a network service provider is obtained. End user experience data associated with the device identifier is obtained. Based at least in part on the device identifier. at least some of the obtained end user experience data is associated with at least some of the one or more nodes in the network topology associated with the network service provider. Processing is performed based at least in part on the association of the at least some of the obtained end user experience data with the at least some of the one or more nodes in the network topology associated with the network service provider. Output is provided based at least in part on the processing.

Network insights

Growing community of inventors

San Francisco, CA, United States of America

Aditya Ravikumar Ganjam