This inventor holds 2 USPTO granted patents. Top assignee: Maxta, Inc.. Active years: 2019.
Company Filing History:
Years Active: 2019
Title: Innovations by Raghu Shastry
Introduction
Raghu Shastry is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of data storage systems, holding 2 patents that address critical issues in data integrity and efficiency.
Latest Patents
One of Raghu's latest patents focuses on "Detecting and correcting silent data corruption in a distributed storage system." This invention involves storing a file and a sequence of snapshots of the file in a storage device. The snapshots include sequentially captured copies of earlier states of the file. A dependency tree is maintained to indicate data blocks that differ between snapshots. The process involves scrubbing the sequence of snapshots to identify and correct any corrupted data blocks based on the dependency tree.
Another notable patent is "Replica checkpointing without quiescing." In this invention, a master node receives an instruction to create a checkpoint and tags new storage operations. It sends requests to multiple replica nodes to create the checkpoint while ensuring that all tagged operations are completed before sending a commit checkpoint request. This method enhances the efficiency of data storage systems by allowing operations to continue without interruption.
Career Highlights
Raghu Shastry is currently employed at Maxta, Inc., where he continues to innovate in the field of data storage solutions. His work has been instrumental in developing technologies that improve data reliability and system performance.
Collaborations
Raghu collaborates with Christian Czezatke, contributing to the advancement of their projects and enhancing the overall innovation process at Maxta, Inc.
Conclusion
Raghu Shastry's contributions to data storage technology through his patents demonstrate his commitment to innovation and excellence in the field. His work not only addresses current challenges but also paves the way for future advancements in data integrity and efficiency.