Arunprasad P Marathe

Title: Innovations by Arunprasad P Marathe

Introduction

Arunprasad P Marathe is a notable inventor based in Kanata, Canada. He has made significant contributions to the field of technology, particularly in database optimization and anomaly detection. With a total of 2 patents, his work reflects a commitment to advancing technological solutions.

Latest Patents

One of Arunprasad's latest patents is titled "Method and apparatus for optimizing a database query." This invention provides a method and apparatus for enhancing the efficiency of database queries. It expands the scope of query optimization to include two or more query optimizers, allowing for a broader exploration of plan trees. This results in the selection of a more optimal physical plan for execution. The original query execution engine continues to execute the query, supported by a translation mechanism that converts the chosen physical plan into a format acceptable to the original optimizer.

Another significant patent is the "Method and system for automatic anomaly detection in data." This invention focuses on identifying anomaly transition point candidates in performance metadata, applicable to computer system performance monitoring. The method involves comparing z-scores at various timestamps to identify candidates indicative of a possible transition to or from an anomalous behavior mode. An explanatory predicate can be generated for at least one anomaly candidate, providing a human-readable explanation of the process's behavior.

Career Highlights

Arunprasad currently works at Huawei Cloud Computing Technologies Co., Ltd., where he continues to innovate and contribute to the field of technology. His expertise in database optimization and anomaly detection has positioned him as a valuable asset in his organization.

Collaborations

Arunprasad collaborates with Shu Lin, a fellow professional in the field. Their partnership enhances the innovative capabilities within their projects.

Conclusion

Arunprasad P Marathe's contributions to technology through his patents demonstrate his dedication to innovation. His work in optimizing database queries and detecting anomalies showcases the potential for advancements in performance monitoring and data management.