The Globus Compute Dataset

We present a unique function-as-a-service (FaaS) dataset capturing the use of the Globus Compute (previously funcX) platform. Globus Compute implements a federated model via which users may deploy endpoints on arbitrary remote computers, from the edge to high-performance computing (HPC) cluster, and they may then invoke Python functions on those endpoints via a reliable cloud-hosted service. The dataset covers 31 weeks and includes 2,121,472 task submissions from 252 users executed on 580 remote computing endpoints. It includes 277,386 registered functions.

本研究公开了一款独特的函数即服务（Function-as-a-Service, FaaS）数据集，用于收录Globus Compute（前身为funcX）平台的实际使用情况。Globus Compute采用联邦模型架构，允许用户在任意远程计算机上部署计算端点，覆盖范围从边缘设备至高性能计算（High-Performance Computing, HPC）集群；用户随后可通过可靠的云托管服务，在这些端点上调用Python函数。本数据集的采集周期为31周，包含来自252名用户的2,121,472次任务提交，这些任务运行于580个远程计算端点之上，同时收录了277,386个已注册函数。