This inventor holds 1 USPTO granted patent. Top assignee: Symantec Operating Corporation. Active years: 2008.
Company Filing History:
Years Active: 2008
Title: Milind M Barve: Innovator in Data Management Frameworks
Introduction
Milind M Barve is a notable inventor based in Maharashtra, India. He has made significant contributions to the field of data management through his innovative patent. His work focuses on enhancing the efficiency and reliability of software systems distributed across multiple nodes.
Latest Patents
Milind M Barve holds a patent titled "Framework for managing clustering and replication." This invention provides a comprehensive framework for managing both clustering and data replication in a distributed software system. The framework includes at least one agent running at nodes within the distributed system, along with a master that coordinates clustering and replication operations. It also features a library of software programs, known as primitives, which agents use to communicate with the master. The agents gather cluster status and replication status information, which the master utilizes to manage operations effectively. This framework is designed to integrate with existing cluster management applications and data replication facilities, ensuring that applications and data remain consistent for disaster recovery purposes. Milind holds 1 patent in this area.
Career Highlights
Milind M Barve is currently associated with Symantec Operating Corporation, where he applies his expertise in data management and software systems. His role involves developing innovative solutions that enhance the performance and reliability of software applications.
Collaborations
Milind has worked alongside Jason R Bloomstein, contributing to various projects that focus on improving data management frameworks and software systems.
Conclusion
Milind M Barve's contributions to the field of data management through his innovative patent demonstrate his commitment to advancing technology. His work continues to influence the way software systems manage clustering and replication, ensuring data consistency and reliability.