Abstract: A system and method for a method for facilitating a robust, efficient, adaptive streaming replication application protocol with dancing recovery for high volume distributed subscriber datasets. Master computing devices stream data packets to downstream replicated peer computing devices on a network to maintain live replicated peers. Upon receipt, data packets may be evaluated to determine whether they are next-in-line using efficient checksum disambiguation which enables unambiguous onboarding of next-in-line packets. Links among master and replicated peer devices, as well as replicated peers having replicated peers of their own, can be ranked to determine the most efficient routes and most reliable devices to achieve live continuous streaming of data on potential unreliable devices and links. Link based scoring and popularity rankings among replicated peers and masters achieve optimization of the network of replicated peers.

Abstract: A system and method for providing a distributed, co-located, self-organizing data storage and cluster computation framework for batch algorithms on big datasets. The system includes various subscriber devices reporting session information relevant to telecommunications companies to computing devices capable of combining records into trie organizational data structures for storage and optimization. Querying via user request and batch algorithms performed via parallel computing processes and index-on-index data keys enable users and algorithms to quickly determine subscribers of interest, based on numerous possible data points contained in subscriber records. The method of performing data receipt, re-organization, trie formation, trie ingestion at a server, and trie structural optimization for the enablement of user and algorithmic querying of the data stored thereon the server.

Abstract: A system and method for a method for facilitating a robust, efficient, adaptive streaming replication application protocol with dancing recovery for high volume distributed subscriber datasets. Master computing devices stream data packets to downstream replicated peer computing devices on a network to maintain live replicated peers. Upon receipt, data packets may be evaluated to determine whether they are next-in-line using efficient checksum disambiguation which enables unambiguous onboarding of next-in-line packets. Links among master and replicated peer devices, as well as replicated peers having replicated peers of their own, can be ranked to determine the most efficient routes and most reliable devices to achieve live continuous streaming of data on potential unreliable devices and links. Link based scoring and popularity rankings among replicated peers and masters achieve optimization of the network of replicated peers.

Abstract: A method to improve, simplify, and facilitate multi-dimensional real time vector search and a provide a heuristics backed insight engine tool and a computer system to improve, simplify, and facilitate multi-dimensional real time vector search and provide a heuristics backed insight engine tool to provide real time, free flow, multi-dimensional search or query function of high volume, structured data to traverse to a point in generalized multi-dimensional Euclidean space without constraints of pre-identifying search dimensions.

Abstract: A method for facilitating the improvement and simplification of on the fly drilldown across any subset of dimensions for very large volumes of data in real time by utilizing interactive on-demand hypercube synthesis based multi-dimensional drilldown and a pivotal analysis tool. A computer system to improve, simplify, and facilitate on the fly drilldown across any subset of dimensions for very large volumes of data in real time via interactive on-demand hypercube synthesis based multi-dimensional drilldown and a pivotal analysis tool.

Abstract: A method to improve, simplify, and facilitate multi-dimensional real time vector search and a provide a heuristics backed insight engine tool and a computer system to improve, simplify, and facilitate multi-dimensional real time vector search and provide a heuristics backed insight engine tool to provide real time, free flow, multi-dimensional search or query function of high volume, structured data to traverse to a point in generalized multi-dimensional Euclidean space without constraints of pre-identifying search dimensions.

Abstract: A method for facilitating the improvement and simplification of on the fly drilldown across any subset of dimensions for very large volumes of data in real time by utilizing interactive on-demand hypercube synthesis based multi-dimensional drilldown and a pivotal analysis tool. A computer system to improve, simplify, and facilitate on the fly drilldown across any subset of dimensions for very large volumes of data in real time via interactive on-demand hypercube synthesis based multi-dimensional drilldown and a pivotal analysis tool.