Abstract: Systems and methods provide for an automated system for analyzing damage to insured property. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a mobile device for analysis at the server in real time. Depending on network conditions, the mobile device may transfer images to the server in high definition or low definition. The server may send notifications to the mobile device to remind a user of the mobile device to capture and transfer images to the server. The server may analyze images to provide feedback to the insured user (e.g., insurance estimates).

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: Systems and methods provide for an automated system for analyzing damage to insured property. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a mobile device for analysis at the server in real time. Depending on network conditions, the mobile device may transfer images to the server in high definition or low definition. The server may send notifications to the mobile device to remind a user of the mobile device to capture and transfer images to the server. The server may analyze images to provide feedback to the insured user (e.g., insurance estimates).

Abstract: Large amounts of unstructured or semi-structured log data generated by software and infrastructure components of a computing system are processed to identify anomalies and potential problems within the computing system. Stored log messages may be queried and analyzed according to dynamic fields constructed from the content of the log messages. As time goes on, the dynamic fields may be converted into static fields which are extracted and indexed at the time of ingestion of the log messages.

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: This disclosure is directed to methods and systems for calculating statistical quantities of computational resources used by distributed data sources in a computing environment. In one aspect, a master node receives a query regarding use of computational resources used by distributed data sources of a computing environment. The data sources generate metric data that represents use of the computational resources and distribute the metric data to two or more worker nodes. The master node directs each worker node to generate worker-node data that represents the metric data received by each of the worker nodes and each worker node sends worker-node data to the master node. The master node receives the worker-node data and calculates a master-data structure based on the worker-node data, which may be used to estimate percentiles of the metric data in response to the query.

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: Techniques for reducing query response time are provided. In one embodiment, a computer system can organize data into a plurality of buckets, where the data is ordered according to a dimension, and where each bucket includes a subset of data that corresponds to a range within the dimension. The computer system can then precompute, for one or more buckets in the plurality of buckets, query results for one or more queries against the bucket, and can store the precomputed query results in a cache.

Abstract: Large amounts of unstructured or semi-structured log data generated by software and infrastructure components of a computing system are processed to identify anomalies and potential problems within the computing system. Stored log messages may be queried and analyzed according to dynamic fields constructed from the content of the log messages. As time goes on, the dynamic fields may be converted into static fields which are extracted and indexed at the time of ingestion of the log messages.

Abstract: Techniques for scheduling query execution are provided. In one embodiment, a computer system can receive a query to be executed and can assign a priority to the query. The computer system can further divide the query into a plurality of sub-queries and can assign a sub-priority to each sub-query, where the sub-priority is based on a resource consumption metric of the query. The computer system can then select, from a plurality of sub-query pools, a sub-query pool that includes sub-queries of queries that have the same priority as the query, and can add the plurality of sub-queries to the selected sub-query pool.

Abstract: This disclosure is directed to methods and systems for calculating statistical quantities of computational resources used by distributed data sources in a computing environment. In one aspect, a master node receives a query regarding use of computational resources used by distributed data sources of a computing environment. The data sources generate metric data that represents use of the computational resources and distribute the metric data to two or more worker nodes. The master node directs each worker node to generate worker-node data that represents the metric data received by each of the worker nodes and each worker node sends worker-node data to the master node. The master node receives the worker-node data and calculates a master-data structure based on the worker-node data, which may be used to estimate percentiles of the metric data in response to the query.

Abstract: Techniques for scheduling query execution are provided. In one embodiment, a computer system can receive a query to be executed and can assign a priority to the query. The computer system can further divide the query into a plurality of sub-queries and can assign a sub-priority to each sub-query, where the sub-priority is based on a resource consumption metric of the query. The computer system can then select, from a plurality of sub-query pools, a sub-query pool that includes sub-queries of queries that have the same priority as the query, and can add the plurality of sub-queries to the selected sub-query pool.

Abstract: Techniques for reducing query response time are provided. In one embodiment, a computer system can organize data into a plurality of buckets, where the data is ordered according to a dimension, and where each bucket includes a subset of data that corresponds to a range within the dimension. The computer system can then precompute, for one or more buckets in the plurality of buckets, query results for one or more queries against the bucket, and can store the precomputed query results in a cache.