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7.883 Call For Paper

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Author(s):

Samarth Dipak Dedge | Samarth Dipak Dedge | Aniket Ghogare | Suyash Kaspate | Ranjit Bhange
Keywords:
Abstract:
The Rapid Growth Of Cloud Computing And Distributed Systems Has Increased The Complexity Of Managing Large-scale Enterprise Infrastructures. Modern Platforms Such As Microsoft Azure And Microservice-based Environments Require Efficient Monitoring And Failure Detection Mechanisms To Ensure High Availability, Reliability, And Performance. The Proposed Project, “Microsoft Failure Detection System,” Is Designed To Identify, Monitor, And Predict System Failures Occurring In Cloud Servers, Applications, And Network Services In Real Time.The System Uses Intelligent Monitoring Techniques To Continuously Analyze System Parameters Such As CPU Usage, Memory Utilization, Server Response Time, Network Traffic, And Application Health Status. By Collecting And Processing These Metrics, The Proposed Model Can Detect Abnormal Behavior And Generate Early Failure Alerts Before Critical System Breakdowns Occur. The System Aims To Reduce Downtime, Improve Fault Tolerance, And Enhance The Overall Efficiency Of Enterprise Cloud Infrastructures.