Abstract: The disclosed embodiments provide a system for managing code and data in a multi-cluster environment. During operation, storage nodes in a first cluster execute instances of a scheduler that initiates actions including creating a database image, copying the database image, and loading the database image. Next, the scheduler issues, to a synchronization service, a first action to be performed by a second cluster based on a deployment schedule for data in a distributed database. Upon receiving a confirmation that the first action has been completed, the first cluster performs a second action received from the synchronization service to manage deployment of data in the distributed database on the first cluster. Upon completing the second action at a storage node in the first cluster, the storage node issues a completion of the second action to the synchronization service.

Abstract: The disclosed embodiments provide a system for performing unified error monitoring, alerting, and debugging of distributed systems. During operation, the system receives logs of activity within a distributed system over event streams in a distributed streaming platform. Upon identifying an error in the received logs, the system collects, from the event streams, log entries generated within a time window of the error into a contextual log associated with the error. The system then outputs an alert containing metadata for accessing the contextual log.

Abstract: The disclosed embodiments provide a system for performing unified error monitoring, alerting, and debugging of distributed systems. During operation, the system receives logs of activity within a distributed system over event streams in a distributed streaming platform. Upon identifying an error in the received logs, the system collects, from the event streams, log entries generated within a time window of the error into a contextual log associated with the error. The system then outputs an alert containing metadata for accessing the contextual log.

Abstract: The disclosed embodiments provide a system for performing difference-based comparisons in log-structured graph databases. During operation, the system performs a first write of a first set of graph data to a first log-structured graph database followed by a second write of a second set of graph data to the first log-structured graph database to determine a first difference between the two sets of graph data. Next, the system performs a third write of the second set of graph data to a second log-structured graph database followed by a fourth write of the first set of graph data to the second log-structured graph database to determine a second difference between the two sets of graph data. The system then determines, based on the differences, a comparison result containing a set-based relationship between the two sets of graph data. Finally, the system outputs the comparison result.

Abstract: Inferring building metadata from distributed sensors is described. In an embodiment multiple sensors are situated at various locations in a building detecting physical quantities (e.g. light, heat, motion). The data from at least one sensor is analyzed in order to detect events occurring in proximity to the sensor. Data about an event detected at a first sensor is compared with events detected at other sensors in order to identify correlated events from which connections between the sensor locations can be inferred and a building layout generated. In some embodiments a threshold may be applied to the data in order to filter out false events. In some embodiments the building layout may be used as part of a building control system. In some embodiments the sensor data may be used to determine if the sensor has been moved.

Abstract: Various technologies pertaining to localizing multiple mobile computing devices in an indoor environment are described. Pairs of microphone arrays are selectively positioned in an indoor environment. A localization service assigns a frequency and schedule to a mobile telephone, and the mobile telephone begins outputting vibrations at the assigned frequency and in conformance with the assigned schedule. The microphone arrays sense the vibrations, and angles between the microphone arrays, respectively, and the mobile computing device are computed based upon the sensed vibrations. Such angles are subsequently employed to compute the location of the mobile computing device in the indoor environment.

Abstract: Various technologies pertaining to localizing multiple mobile computing devices in an indoor environment are described. Pairs of microphone arrays are selectively positioned in an indoor environment. A localization service assigns a frequency and schedule to a mobile telephone, and the mobile telephone begins outputting vibrations at the assigned frequency and in conformance with the assigned schedule. The microphone arrays sense the vibrations, and angles between the microphone arrays, respectively, and the mobile computing device are computed based upon the sensed vibrations. Such angles are subsequently employed to compute the location of the mobile computing device in the indoor environment.

Abstract: Various technologies pertaining to localizing multiple mobile computing devices in an indoor environment are described. Pairs of microphone arrays are selectively positioned in an indoor environment. A localization service assigns a frequency and schedule to a mobile telephone, and the mobile telephone begins outputting vibrations at the assigned frequency and in conformance with the assigned schedule. The microphone arrays sense the vibrations, and angles between the microphone arrays, respectively, and the mobile computing device are computed based upon the sensed vibrations. Such angles are subsequently employed to compute the location of the mobile computing device in the indoor environment.

Abstract: Various technologies pertaining to localizing multiple mobile computing devices in an indoor environment are described. Pairs of microphone arrays are selectively positioned in an indoor environment. A localization service assigns a frequency and schedule to a mobile telephone, and the mobile telephone begins outputting vibrations at the assigned frequency and in conformance with the assigned schedule. The microphone arrays sense the vibrations, and angles between the microphone arrays, respectively, and the mobile computing device are computed based upon the sensed vibrations. Such angles are subsequently employed to compute the location of the mobile computing device in the indoor environment.

Abstract: Inferring building metadata from distributed sensors is described. In an embodiment multiple sensors are situated at various locations in a building detecting physical quantities (e.g. light, heat, motion). The data from at least one sensor is analyzed in order to detect events occurring in proximity to the sensor. Data about an event detected at a first sensor is compared with events detected at other sensors in order to identify correlated events from which connections between the sensor locations can be inferred and a building layout generated. In some embodiments a threshold may be applied to the data in order to filter out false events. In some embodiments the building layout may be used as part of a building control system. In some embodiments the sensor data may be used to determine if the sensor has been moved.