MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202611005758 A) filed by Graphic Era, Dehradun, Uttarakhand, on Jan. 20, for 'a system and method for adaptive agent-based deep reinforcement learning for dynamic cloud resource provisioning.'
Inventor(s) include Kajal Jha; Nikhil Chaudhary; and Dr. Prakash Srivastava.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "A cloud simulation environment (10) emulates a cloud computing infrastructure with a plurality of datacenters (12) managing virtual machines (14) and task queues (16) for generating resource-intensive tasks. A deep reinforcement learning (DRL) agent (20) implemented in Python incorporates a state processing module (22) for collecting metrics such as CPU usage, memory utilization, and task attributes; a decision-making policy module (24) with deep neural network layers to select scheduling actions from available virtual machines (14); an experience replay buffer module (26) to store experiential tuples; and a data exchange interface (30) for bidirectional communication with the simulation environment (10). A reward function module (40) computes a composite reward based on task turnaround time and resource cost, enabling the DRL agent (20) to update its control policy in a closed-loop dynamic cloud resource provisioning system."
Disclaimer: Curated by HT Syndication.
