Service Dependency Health State Transition Dataset

#health state transition prediction #time-series forecasting #dependency-aware risk identification #service dependency monitoring #infrastructure health management #proactive incident prevention

4290
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Each record captures a monitored service's health at a specific observation time, the states of its infrastructure dependencies, and recent related events, alongside the predicted service health and transition direction over a defined horizon. Records also include the affected dependency chain and a risk score from 0 to 1, supporting analysis of how dependency changes relate to service health. The data is suitable for service state prediction, failure early warning, and operational decision support.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
risk_score	number	Estimated probability of service degradation or failure within the prediction horizon, on a scale from 0 to 1.
service_name	string	Name of the monitored service for which the next health state is predicted.
recent_events	array	Events affecting the service or its dependencies before or during the observation.
observation_time	string	Timestamp when the current service and dependency states were observed.
dependency_states	array	Observed state and criticality of each infrastructure dependency used by the monitored service.
predicted_transition	string	Predicted direction of change from the current service health state to the next state.
predicted_next_health	string	Predicted health state of the monitored service at the end of the prediction horizon.
current_service_health	string	Observed health state of the monitored service at the observation time.
affected_dependency_chain	array	Ordered names of dependencies predicted to contribute to the service's next health state.
prediction_horizon_minutes	integer	Number of minutes from the observation time to the predicted next health state.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What information does the dataset contain?: Records include the observation time, service name and current health, infrastructure dependency states, recent events, predicted next health state and transition direction, prediction horizon, affected dependency chain, and risk score.

What does the risk score represent?: The score ranges from 0 to 1 and estimates the probability of service degradation or failure within the prediction horizon. Consider it together with the horizon, service state, and dependency chain.

Which tasks is the data suitable for?: It can support next-state prediction, service health risk assessment, dependency chain impact analysis, and failure early warning. It can also inform operations monitoring and decision support in network and systems management software.

How can I obtain the data and check its license?: Use the download or access method listed on the product page, and review the applicable license, permitted use cases, and redistribution restrictions before use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Service Dependency Health State Transition Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/a6ce44bafad06dc71579a1810d1953cc},
  urldate={2026-10-21},
  keywords={service health prediction,service dependency data,state transition dataset,next-state prediction,infrastructure monitoring,failure risk score,IT operations analytics,service failure early warning},
  version={1.0}
}

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