MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202621082019 A) filed by Symbiosis International Deemed University on July 02, 2026, for Proactive Virtual Machine Migration System Using Machine Learning Based Overload Prediction In Cloud Data Centers.
Inventors include Satyam Kalihari; and Dr. Bhupesh Kumar Dewangan.
The application for the patent was published on August 28, 2026, under issue no. 35/2026.
Abstract: ABSTRACT PROACTIVE VIRTUAL MACHINE MIGRATION SYSTEM USING MACHINE LEARNING BASED OVERLOAD PREDICTION IN CLOUD DATA CENTERS The present invention discloses a proactive virtual machine migration system (100) for cloud data centers that employs machine learning based overload prediction to initiate VM migrations before host resource saturation occurs. The system (100) comprises a simulation layer (110) modelling a data center with configurable hosts (112) and virtual machines (114), a data layer (120) collecting multi-dimensional resource metrics at periodic scheduling intervals, a feature engineering pipeline (200) transforming raw metrics into a ten-dimensional lag-augmented feature vector capturing instantaneous resource states, temporal lag values, rate-of-change deltas, and rolling means, an inference layer (130) comprising a local HTTP inference server (132) hosting a trained Random Forest binary classifier (300) that predicts overload probability through vote-fraction estimation across 200 decision trees, and a control layer (140) that queries the inference server at each scheduling interval and triggers proactive VM migration when predicted probability exceeds a configurable threshold. [
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