This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Balan Subramanian: Innovator in Cloud Resource Management
Introduction
Balan Subramanian is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of cloud computing, particularly in resource management through innovative technologies. His work focuses on enhancing the efficiency of virtual machines in cloud environments.
Latest Patents
Balan Subramanian holds a patent for a system titled "Cloud resource management using machine learning." This patent describes a cloud resource management system that utilizes ensemble learning to train multiple time series forecasting models. These models are designed to predict the future idle time of a virtual machine operating on a cloud computing service. By analyzing historical usage and metric data, including CPU usage, disk usage, and network usage, the system selects the most accurate model for production runs. This allows for the automatic shutdown of virtual machines during idle times, thereby reducing operational costs.
Career Highlights
Balan Subramanian is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in cloud technology. His expertise in machine learning and resource management has positioned him as a valuable asset in the tech industry.
Collaborations
Balan has collaborated with notable colleagues such as Arun Ramanathan Chandrasekhar and Claude Remillard. Their combined efforts contribute to advancing cloud resource management technologies.
Conclusion
Balan Subramanian's work in cloud resource management exemplifies the intersection of innovation and technology. His patent reflects a commitment to improving efficiency in cloud computing, showcasing the potential of machine learning in this domain.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
