This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Splunk Inc.. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2025
Title: Nikhil Roy: Innovator in Query Scheduling and Data Distribution
Introduction
Nikhil Roy is a prominent inventor based in Fremont, CA. He has made significant contributions to the field of data processing and resource allocation, holding a total of 3 patents. His work focuses on enhancing the efficiency of query execution and data distribution systems.
Latest Patents
Nikhil's latest patents include innovative systems and methods for query scheduling based on resource allocation and availability. This patent describes a system that receives and parses a query to identify its components. It determines resource allocation for each part of the query and assesses the availability of compute resources. Based on these factors, the system effectively schedules the query for execution.
Another notable patent involves bucket data distribution for exporting data to worker nodes. This invention outlines a method for exporting bucket data from multiple buckets to worker nodes. The system identifies data from various buckets stored in a data intake and query system, allocating execution resources to process and export the data. It assigns bucket data to execution resources based on a distribution policy, ensuring efficient processing.
Career Highlights
Nikhil Roy is currently employed at Splunk Inc., where he continues to develop innovative solutions in data processing. His expertise in query scheduling and resource allocation has positioned him as a valuable asset to the company.
Collaborations
Nikhil collaborates with talented coworkers, including Sourav Pal and Arindam Bhattacharjee. Together, they contribute to advancements in their field, driving innovation and efficiency.
Conclusion
Nikhil Roy's contributions to query scheduling and data distribution exemplify his commitment to innovation in technology. His patents reflect a deep understanding of resource management and data processing, making him a key figure in his industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
