Company Filing History:
Years Active: 2025
Title: Kevin Bocksrocker: Innovator in Hypergraph Execution Technology
Introduction
Kevin Bocksrocker is an accomplished inventor based in Kirkland, WA (US). He has made significant contributions to the field of technology, particularly in the area of hypergraph execution. His innovative work has led to the development of a unique patent that addresses critical challenges in workload management.
Latest Patents
Kevin holds a patent titled "Failure Tolerant and Explainable State Machine Driven Hypergraph Execution." This patent describes a hypergraph workload manager configured for failure tolerance and explainable state machine-driven hypergraph execution. The hypergraph executor includes a query optimizer, a hypergraph enlister, a pipeline analyzer, and a state machine generator. The query optimizer translates user queries into a query operator graph, while the hypergraph enlister enlists this graph into a hypergraph that represents previously submitted user queries. The enlistment optimizes query executions by joining query operator graphs where applicable. The pipeline analyzer assesses all operators of the queries in the hypergraph to determine the optimal sequencing of execution. Finally, the state machine generator creates a hierarchical state machine for all operators of a disconnected graph within the hypergraph.
Career Highlights
Kevin is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop cutting-edge technologies. His work at Microsoft has allowed him to collaborate with other talented professionals in the field, enhancing the impact of his inventions.
Collaborations
One of Kevin's notable collaborators is Sumeet Priyadarshee Dash. Their partnership exemplifies the collaborative spirit that drives innovation in technology.
Conclusion
Kevin Bocksrocker is a notable inventor whose work in hypergraph execution technology has the potential to revolutionize workload management. His contributions to the field are significant, and his patent reflects a deep understanding of complex systems.