Abstract: The described technology provides high latency query optimization method including receiving a data request from a client, the data request directed to data stored in a plurality of data shards, determining a set of operating parameters of the data shards for retrieving data from the plurality of shards, determining a chunking factor based on the set of operating parameters, dividing the data request into a plurality of API requests based on the chunking factor, each of the API requests directed to a portion of the plurality of data shards, and communicating the plurality of API requests in parallel to a source API configured to perform data queries on the plurality of data shards.

Abstract: Systems and methods for inferring and notifying an end user about reduced availability of a target user or group of target users in a time range of interest. For instance, the reduced availability service includes components for collecting calendar event information and calendar settings information corresponding to a calendar of a target user, generating an interval graph data structure based on the collected calendar information, determining working hours for the target user, identifying periods of time where reduced availability is determined in the target user's calendar, and generating a notification of the target user's reduced availability for alerting the end user.

Abstract: Technology is disclosed for controlling the processing and presentation of user-connection data on computing devices to provide improved electronic communications applications and user computing experiences. User-connection data may be programmatically determined or inferred from the user data for a plurality of users. The user-connection data may be assembled into a graph data structure, which may be further processed to determine optimal paths connecting users and to derive information insights. Aspects of information insights may be presented to a user and/or consumed by a computing application or service to provide an improved user computing experience.

Abstract: In some examples, digital signal processing plug-in implementation may include obtaining attributes of a user interface for a digital signal processing plug-in, and obtaining attributes of digital signal processing logic for the digital signal processing plug-in. The digital signal processing plug-in implementation may include generating, based on the attributes of the user interface and the attributes of the digital signal processing logic, a plug-in process to control operation of the user interface and the digital signal processing logic. Further, the digital signal processing plug-in implementation may include establishing, based on the generated plug-in process, a two-way communication link between a host and the plug-in process to implement the digital signal processing plug-in.

Abstract: In some examples, digital signal processing plug-in implementation may include obtaining attributes of a user interface for a digital signal processing plug-in, and obtaining attributes of digital signal processing logic for the digital signal processing plug-in. The digital signal processing plug-in implementation may include generating, based on the attributes of the user interface and the attributes of the digital signal processing logic, a plug-in process to control operation of the user interface and the digital signal processing logic. Further, the digital signal processing plug-in implementation may include establishing, based on the generated plug-in process, a two-way communication link between a host and the plug-in process to implement the digital signal processing plug-in.

Abstract: In some examples, digital signal processing plug-in implementation may include obtaining attributes of a user interface for a digital signal processing plug-in, and obtaining attributes of digital signal processing logic for the digital signal processing plug-in. The digital signal processing plug-in implementation may include generating, based on the attributes of the user interface and the attributes of the digital signal processing logic, a plug-in process to control operation of the user interface and the digital signal processing logic. Further, the digital signal processing plug-in implementation may include establishing, based on the generated plug-in process, a two-way communication link between a host and the plug-in process to implement the digital signal processing plug-in.

Abstract: In some examples, digital signal processing plug-in implementation may include obtaining attributes of a user interface for a digital signal processing plug-in, and obtaining attributes of digital signal processing logic for the digital signal processing plug-in. The digital signal processing plug-in implementation may include generating, based on the attributes of the user interface and the attributes of the digital signal processing logic, a plug-in process to control operation of the user interface and the digital signal processing logic. Further, the digital signal processing plug-in implementation may include establishing, based on the generated plug-in process, a two-way communication link between a host and the plug-in process to implement the digital signal processing plug-in.