Abstract
It is often the case that multiple service providers, e.g., e-commerce services, payment gateways, delivery services, etc., are hosted on a single cloud service provider but have interfaces only to the public internet. In such a case, a single transaction can involve multiple public calls or egresses from the private cloud (more secure) to the public internet (less secure), adding to the cost and latency of the transaction and reducing the efficiency and security of the transaction. This disclosure describes artificial intelligence (AI) techniques to analyze the origin and destination IP addresses of communications that arise from applications, virtual machines, and services hosted by cloud service providers. Per the techniques, patterns that indicate origin-destination pairs that belong to a single cloud service provider are determined. Recommendations are provided for conversion of such origin-destination pairs to RFC1918-compliant internal IP addresses. The resulting AI-enabled virtual private cloud streamlines communication and achieves better security with reduced latency.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shanmugam, Dhandapani, "Virtual Private Cloud Powered by Artificial Intelligence", Technical Disclosure Commons, (April 07, 2025)
https://www.tdcommons.org/dpubs_series/7974