A per-customer multi-head attention transformer predicts data center SLA breaches 30 minutes ahead by encoding rules as JSON for training and emitting role-specific outputs for finance, operations, and compliance.
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A Multi-Head Attention Approach for SLA Compliance Monitoring in Data Centers
A per-customer multi-head attention transformer predicts data center SLA breaches 30 minutes ahead by encoding rules as JSON for training and emitting role-specific outputs for finance, operations, and compliance.