alibaba/clusterdata resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2154 stars · 477 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of production cluster trace datasets from Alibaba covering batch workloads, GPU/ML workloads, microservices, and microarchitectural metrics. It is intended for research on cluster management, scheduling, and datacenter workload characterization.

Use cases

• analyze production datacenter workload traces
• research cluster scheduling and resource management
• study GPU cluster utilization for ML workloads
• model microservice call dependencies and latency
• simulate colocation of online and batch workloads
• study CPU microarchitecture contention in datacenters

When to choose

• you need real-world production cluster traces for systems research
• you are studying scheduling, colocation, or resource management in large datacenters
• you need GPU or microservice workload data for simulation or modeling

When to avoid

• you need a tool or library rather than raw trace data
• you need small-scale or synthetic datasets with permissive licensing
• you cannot complete the download survey or handle large data volumes

Facets

dataset · maturity active

data-science analytics benchmarking data-science big-data microservices cloud-computing machine-learning python cross-platform cluster-traces workload-analysis datacenter gpu-traces microservices research-dataset

Member repositories

For agents

markdown · JSON · MCP: product_card(name="alibaba/clusterdata")