Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning

Modeling and scheduling diverse and dynamic workloads effectively has become a crucial issue due to the ever increasing scale and complexity of systems and applications in modern data centers. A large-scale cloud system consists of a large number of computing nodes, storage nodes and networking devices, running diverse workloads. Existing works analyzed execution traces in terms of resource usage ...