SAN Workload Validation via Path Pairing and Traffic Comparison
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Solution Overview
Problem
In storage area networks (SANs), existing technologies face challenges in maintaining load balance and redundancy between data paths, leading to potential failures and data exchange slowdowns due to unbalanced workloads and component failures.
Innovation Solution
An information system is developed to identify and classify the workload balance and redundancy of paths in a SAN by pairing active paths across redundant host bus adapters, storage ports, and fabrics, comparing traffic data, and determining a redundancy score to assess the ability of paths to continue data transfer in case of component failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple paths are used for redundancy, then reliability is improved, but workload balance deteriorates leading to inefficiency
Solution Approach 1:
The system continuously monitors traffic data across multiple paths and uses this feedback to dynamically classify path states and identify imbalances. This allows the system to detect when redundancy is not properly utilized and when workload distribution becomes uneven, enabling timely remediation to maintain both reliability and efficiency
Solution Approach 2:
The system dynamically classifies path states based on real-time traffic conditions rather than using static configurations. Paths are re-evaluated and reclassified as conditions change, allowing the system to adapt to varying workload patterns and maintain optimal performance while preserving redundancy
2Device complexity
If workload is concentrated on single path, then device complexity is reduced, but reliability deteriorates due to failure risk
Solution Approach 1:
The system automatically monitors, classifies, and identifies path imbalances without requiring manual intervention. The automated classification and remediation processes reduce the operational complexity of managing multiple paths while maintaining proper workload distribution and failure tolerance across the SAN environment
3Ease of operation
If active/passive model is used, then ease of operation is improved, but reliability deteriorates due to path unavailability
Solution Approach 1:
The system proactively identifies potential path failures and imbalances before they impact operations by continuously monitoring traffic patterns and classifying path states. This preliminary detection allows for preventive remediation, ensuring path availability is maintained while keeping the configuration management simple through automated processes
Data Source
AI summary
An information system identifies redundant communication paths between a server and a storage device in a storage area network and classifies the state of the paths according to the distribution of workload amongst them. To make the classification, the information system pairs up active paths. For each pair of active paths, the information system identifies traffic data of the two paths. The information system compares the traffic data of the two paths. Based on the comparison, the information system determines whether workload is balanced or imbalanced between the two paths.