Company Filing History:
Years Active: 2016-2017
Title: Innovations by Swapneel Patil
Introduction
Swapneel Patil is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of distributed computing, holding 2 patents that showcase his innovative approach to scalable and fault-tolerant systems.
Latest Patents
One of his latest patents is titled "Contention and selection of controlling work coordinator in a distributed computing environment." This patent describes a distributed work processing system designed for processing computational tasks without requiring centralized control. The system is scalable and fault-tolerant, with worker processes organized into logical groups. Worker coordinators manage tasks assigned to these worker processes, utilizing a task store that holds a collection of tasks. A lock database is employed to ensure that coordination is handled by one worker coordinator process at a time. Additionally, a membership store maps worker processes to logical groups, while an assignment store indicates which tasks are assigned to which workers. The worker coordinator process includes a scanner to manage unassigned tasks and eliminate duplicate assignments. If a worker coordinator detects insufficient worker processes, it can instantiate more, and similarly, if a worker process does not find a worker coordinator, it can create one.
Career Highlights
Swapneel Patil is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of distributed computing. His work has been instrumental in enhancing the efficiency and reliability of computational task processing.
Collaborations
He collaborates with talented individuals in his field, including his coworker AndyGibb Halim, to push the boundaries of technology and innovation.
Conclusion
Swapneel Patil's contributions to distributed computing through his patents reflect his dedication to creating scalable and fault-tolerant systems. His work at Amazon Technologies, Inc. continues to influence the future of computational task processing.