Location History:
- Calicut, IN (2020)
- Kerala, IN (2022)
Company Filing History:
Years Active: 2020-2022
Title: Innovations of Shyam Sreevalsan
Introduction
Shyam Sreevalsan is an accomplished inventor based in Kerala, India. He has made significant contributions to the field of network traffic management, holding 2 patents that showcase his innovative approach to technology. His work focuses on enhancing the efficiency and effectiveness of network traffic classification and management.
Latest Patents
Shyam's latest patents include a "System and method for classifying network traffic." This invention provides a framework of models designed to classify network traffic by determining whether the flow is encrypted or not. If the traffic is encrypted, the system extracts relevant attributes and classifies the traffic accordingly. Conversely, for non-encrypted traffic, it extracts non-encrypted flow attributes for classification.
Another notable patent is the "System and method for heuristic control of network traffic management." This method involves setting predetermined benchmarks for traffic and performing a control loop to assess the quality of experience (QoE) metrics on the network. The system aggregates these metrics to determine new benchmarks, enhancing the overall traffic management process.
Career Highlights
Shyam has worked with Sandvine Corporation, where he applied his expertise in network management. His experience in this company has contributed to his understanding of the complexities involved in traffic management and classification.
Collaborations
Shyam has collaborated with notable professionals in his field, including Kathiravan Rajasekar and Steven J Flatt. These collaborations have likely enriched his work and contributed to his innovative solutions in network traffic management.
Conclusion
Shyam Sreevalsan's contributions to network traffic management through his patents reflect his dedication to innovation in technology. His work continues to influence the field, showcasing the importance of effective traffic classification and management systems.