Company Filing History:
Years Active: 2025
Title: Innovations by Shyam Narayan Singh in Distributed File Systems
Introduction
Shyam Narayan Singh, an innovative inventor based in Hyderabad, Telangana, India, has made significant contributions to the technology sector with his patent in the field of distributed file systems. His expertise and creativity have enabled him to address complex challenges related to data management and storage.
Latest Patents
Singh holds a patent for "Data Objects in a Distributed File System". This invention describes novel approaches for writing data objects to a distributed file system. An important aspect of his patent involves determining the size of a data object to be created based on client requests. Depending on the size, the data content is strategically inserted into one of the object location tables, object data tables, or a data container within the system. Furthermore, metadata related to the data object may also be recorded in the object location table, enhancing efficiency and organization.
Career Highlights
Currently, Shyam Narayan Singh is employed by Hewlett Packard Enterprise Development LP, where he applies his innovative thinking to advance the company's technological solutions. His role at Hewlett Packard Enterprise has allowed him to work on groundbreaking projects, contributing toward the evolution of distributed computing and data management techniques.
Collaborations
In his professional journey, Singh has collaborated with talented colleagues such as Anshul Data and Rajesh Boddu. These collaborations have fostered an environment of creativity and innovation, resulting in significant advancements in their respective fields.
Conclusion
Shyam Narayan Singh exemplifies the spirit of innovation through his contributions to distributed file systems. His patent not only showcases his ingenuity but also highlights the importance of research and development in technology. As he continues his work at Hewlett Packard Enterprise, he remains a key figure in advancing technological solutions that impact data management practices.