Cloud Network Issue Detection Through Packet-Failure Mapping

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Solution Overview

Problem

Clients in cloud computing environments lack visibility to identify network issues, leading to time-consuming problem resolution and expensive downtime.

Innovation Solution

An analytics engine inspects data packets for transmission failures and maps them on a cloud computing environment graph to identify network issues without internal visibility, using Deep Packet Inspection (DPI) and generating alerts for failed transmissions or one-way communications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If clients rely on cloud provider to identify network issues, then provider can resolve issues, but it causes time-consuming process and expensive downtime

Engineering Contradiction:

Improvenetwork issue resolutionVSAvoiddowntime

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by continuously monitoring network traffic and inspecting data packets before failures occur. The analytics engine proactively identifies potential network issues through pattern recognition and anomaly detection, enabling preemptive resolution before downtime occurs.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms where the analytics engine receives real-time data about network traffic patterns, analyzes them against baseline behavior, and provides immediate feedback about potential issues. This continuous feedback loop enables rapid detection and response to network problems.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If clients have no visibility inside cloud computing environments, then infrastructure can be abstracted, but clients cannot identify network issues

Engineering Contradiction:

Improvecloud infrastructure abstractionVSAvoidnetwork issue detection

Core Design Contradiction:

Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The analytics engine acts as an intermediary between clients and the cloud infrastructure. It sits at the network boundary, inspects data packets, and translates complex internal network states into actionable insights for clients without requiring clients to have direct visibility into the cloud environment.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system replaces direct mechanical visibility (clients directly monitoring internal network traffic) with a sophisticated analytics-based detection system that uses packet inspection, pattern recognition, and statistical analysis to infer network state without requiring direct access to internal infrastructure.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12368630B2Identifying network issues in a cloud computing environment

Publication Date: 2025.07.22 CAPITAL ONE SERVICES LLC

AI summary

Provided herein are system, apparatus, device, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof for identifying a network issue in a cloud computing environment. In some embodiments, an analytics engine receives a stream of data packets being transmitted from an application to a cloud computing resource. The analytics engine inspects each data packet the stream of data packets and identifies a failure of transmission of a data packet of the stream of data packets. The analytics engine maps an occurrence of the failure of the transmission of the data packet on a graph of a cloud computing environment. The analytics engine identifies a network issue for an element associated with the cloud computing resource, inside the cloud computing environment, based on the mapping and independent of visibility of the stream of data packets inside the cloud computing environment.