Abstract: Systems and methods described herein facilitate the search and presentation of historical data for wireless network usage and provide a mechanism for high-redundancy, low-latency record retrieval of data from large data sets. Network devices divide data for a historical data store into separate record type groups, store metadata for each record type in an application database, partition each record type group by date in a historical record database that is different from the application database, and form, within each date partition, buckets of common hash values of a key parameter from each record. When a user performs a query, the network devices generate a record-specific query form based on the record type metadata to obtain lookup parameters; generate a search hash value using a key parameter from the lookup parameters; and generate a query expression based on the record type, lookup parameters, and the search hash value.

Abstract: Systems and methods described herein facilitate the search and presentation of historical data for wireless network usage and provide a mechanism for high-redundancy, low-latency record retrieval of data from large data sets. Network devices divide data for a historical data store into separate record type groups, store metadata for each record type in an application database, partition each record type group by date in a historical record database that is different from the application database, and form, within each date partition, buckets of common hash values of a key parameter from each record. When a user performs a query, the network devices generate a record-specific query form based on the record type metadata to obtain lookup parameters; generate a search hash value using a key parameter from the lookup parameters; and generate a query expression based on the record type, lookup parameters, and the search hash value.

Abstract: Systems and methods described herein facilitate the search and presentation of historical data for wireless network usage and provide a mechanism for high-redundancy, low-latency record retrieval of data from large data sets. Network devices divide data for a historical data store into separate record type groups, store metadata for each record type in an application database, partition each record type group by date in a historical record database that is different from the application database, and form, within each date partition, buckets of common hash values of a key parameter from each record. When a user performs a query, the network devices generate a record-specific query form based on the record type metadata to obtain lookup parameters; generate a search hash value using a key parameter from the lookup parameters; and generate a query expression based on the record type, lookup parameters, and the search hash value.

Abstract: Systems and methods described herein facilitate the search and presentation of historical data for wireless network usage and provide a mechanism for high-redundancy, low-latency record retrieval of data from large data sets. Network devices divide data for a historical data store into separate record type groups, store metadata for each record type in an application database, partition each record type group by date in a historical record database that is different from the application database, and form, within each date partition, buckets of common hash values of a key parameter from each record. When a user performs a query, the network devices generate a record-specific query form based on the record type metadata to obtain lookup parameters; generate a search hash value using a key parameter from the lookup parameters; and generate a query expression based on the record type, lookup parameters, and the search hash value.

Abstract: Category labels, associated with IP addresses, may define a dominant usage role, in a network, of a corresponding IP address. Updates for a number of IP address/category label associations may be received, where the update may reflect changing roles relating to the IP addresses and/or to reflect newly used IP addresses. A merge operation may be performed to integrate the updated category labels into an existing data set that relates category labels to IP addresses. The merge operation may be performed within a distributed storage architecture that uses the write once read many (WORM) storage model.

Abstract: Category labels, associated with IP addresses, may define a dominant usage role, in a network, of a corresponding IP address. Updates for a number of IP address/category label associations may be received, where the update may reflect changing roles relating to the IP addresses and/or to reflect newly used IP addresses. A merge operation may be performed to integrate the updated category labels into an existing data set that relates category labels to IP addresses. The merge operation may be performed within a distributed storage architecture that uses the write once read many (WORM) storage model.