MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641089033 A) filed by Unnikrishnan K N; P Victer Paul; and Indian Institute Of Information Technology Kottayam on July 21, 2026, for Self-Adaptive Throughput Prediction And Control Framework For Autonomously Optimizing Operational Throughput Of A Block Chain Layer 2 Network Under Dynamically Varying Network Conditions And Method.
Inventors include Unnikrishnan K N; and P Victer Paul.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: A self-adaptive throughput prediction and control framework (100) for autonomously optimizing operational performance of a block chain Layer 2 network (170) is disclosed. The framework (100) comprises a monitoring layer (110) for collecting operational metrics and generating operational state information, a multi-phase throughput prediction engine (120) for predicting transaction processing capability, and a multi-objective optimization engine (130) for generating optimized control configurations. An adaptive control engine (140) dynamically modifies Layer 2 operational parameters, while a Layer 2 configuration manager (150) performs Layer 2 reconfiguration, batch processing, proof generation, and settlement operations. A feedback learning layer (160) continuously evaluates operational performance, updates prediction and control models, and iteratively improves throughput prediction accuracy. The framework jointly maximizes throughput while minimizing transaction latency, operational expenditure, proof genera
Disclaimer: Curated by HT Syndication.
