Multi-Scale Workflow Scheduling and Energy Data for Data Centers
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/multi-scale-workflow-scheduling-and-energy-data-data-centers
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资源简介：
This dataset provides traces for data center workload and energy management, including task-level workflows, server specifications, real-time electricity prices, and photovoltaic (PV) generation. Workloads cover three scales of job arrivals (10, 100, 1000 jobs) with tasks\u2019 resource requirements, dependencies, processing times, and deadlines. Server data describe five heterogeneous types with resource capacities and energy consumption parameters. Electricity and PV data are from CAISO, while workloads are derived from the Huawei 6GANA Network AI Challenge. This dataset supports research on topology-aware workflow scheduling and energy-aware resource allocation.
提供机构：
Yiling Zhang
