Cupertino, CA, United States of America

Prasad Vadlamannati


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2015-2018

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4 patents (USPTO):Explore Patents

Title: Prasad Vadlamannati: Innovator in I/O Scheduling and Load Balancing

Introduction

Prasad Vadlamannati is a notable inventor based in Cupertino, CA, with a focus on innovations in I/O scheduling and load balancing within clustered environments. He holds a total of 4 patents, showcasing his contributions to the field of technology and data management.

Latest Patents

Vadlamannati's latest patents revolve around the efficient management of write operations in shared storage clusters that support volume replication. His inventions detail a system where requests for space allocation in a replication log are received from multiple nodes. The current capacity of each requesting node is assessed to determine how much space can be allocated, effectively preventing self-throttling. Each volume can be assigned a separate priority, allowing for targeted operations on higher priority volumes. A single global queue is maintained for scheduling write operations across all nodes, ensuring fair scheduling, while local queues provide specific preferences for individual nodes.

Career Highlights

Throughout his career, Prasad Vadlamannati has worked with prominent companies such as Veritas Technologies LLC and Symantec Corporation. His experience in these organizations has contributed significantly to his expertise in the field of data management and technology innovation.

Collaborations

Vadlamannati has collaborated with talented professionals, including Suhas Ashok Dantkale and Satyendra Thakur, further enhancing his work and contributions to the industry.

Conclusion

Prasad Vadlamannati's innovative work in I/O scheduling and load balancing has made a significant impact in the technology sector. His patents reflect a deep understanding of complex systems and a commitment to improving data management processes.

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