Virtual Host Overload Detection Through Session Correlation

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Solution Overview

Problem

In virtual application and desktop deployments, overloaded machines are challenging to identify, leading to inaccurate determination of impacted sessions and inefficient troubleshooting, resulting in poor user experience and increased downtime.

Innovation Solution

A device correlates session performance with machine hardware performance to identify overloaded machines, alerting administrators and recommending actions such as restarting, switching to maintenance mode, or migrating sessions, thereby improving user experience and reducing downtime.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If administrators manually monitor and troubleshoot session failures without correlation between machine and session performance, then they can identify some issues, but the process becomes inefficient, time-consuming, and inaccurate in determining impacted sessions

Engineering Contradiction:

Improvetroubleshooting efficiencyVSAvoidtime to resolution

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system implements feedback by continuously monitoring session performance metrics and machine hardware performance metrics, then correlating them to identify causal relationships. This closed-loop feedback mechanism automatically detects when machine overloading impacts session performance, eliminating manual troubleshooting and significantly reducing time to resolution while improving troubleshooting accuracy through data-driven insights.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system introduces an intermediary correlation analysis layer that connects machine performance data with session performance data. This intermediary mechanism processes and correlates metrics from both sources, enabling administrators to automatically identify which sessions are impacted by machine overloading without manual investigation, thereby improving productivity and reducing time loss.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If administrators restart machines to resolve overloading issues, then machine performance is restored, but user experience degrades due to session disruptions and increased downtime

Engineering Contradiction:

Improvemachine performance restorationVSAvoiduser experience degradation

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system applies preliminary action by proactively detecting machine overloading conditions through correlated performance metrics before they cause severe session failures. By identifying overloaded machines early and alerting administrators in advance, the system enables preventive measures to be taken, restoring machine performance through controlled actions while minimizing user experience degradation from sudden disruptions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements self-service by automatically monitoring machine and session performance, correlating metrics, identifying overloaded machines, and generating alerts or recommendations without requiring continuous manual intervention. This automated self-monitoring and self-diagnosis capability restores machine performance reliability while reducing the harmful impact on user experience by minimizing unnecessary restarts and disruptions.

Inventive Principle:

Principle #25Self-service

3Productivity

If machines host multiple sessions to maximize resource utilization, then productivity increases, but machines become overloaded causing session performance degradation

Engineering Contradiction:

Improveresource utilizationVSAvoidsession performance

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system applies dynamics by continuously monitoring machine performance metrics and session performance metrics in real-time, dynamically adjusting the correlation analysis as conditions change. This dynamic approach enables the system to identify when increased resource utilization from multiple sessions is causing machine overloading, allowing administrators to balance productivity gains against session performance reliability through data-driven decision-making.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements parameter changes by monitoring changes in machine performance parameters (CPU utilization, memory usage, etc.) and correlating them with session performance parameters. When parameter changes indicate machine overloading is impacting session performance, the system alerts administrators to adjust resource allocation or session distribution, thereby maintaining both high productivity through resource utilization and reliable session performance.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12443459B2Detecting and managing overloaded machines in a virtual deployment

Publication Date: 2025.10.14 CITRIX SYSTEMS INC

AI summary

Systems and methods for managing overloaded machines in a virtual environment are provided. A device can include one or more processors, coupled to memory. The device can receive, for time intervals, a metric of performance of hardware of a machine hosting sessions between clients. The device can identify, for the time intervals, a plurality of scores indicative of performance of the corresponding plurality of sessions. The device can trigger an action to perform on the machine or at least one of the sessions responsive to i) the metric of performance of hardware failing a first threshold corresponding to availability of the hardware for a predetermined number of time intervals of the plurality of time intervals, and ii) the at least one of the plurality of scores failing a second threshold corresponding to satisfactory session performance for the same predetermined number of time intervals.