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Cloud applications use more than just server resources, they also requirenetworking resources. We propose a new technique to model network bandwidthdemand of networked cloud applications. Our technique, Gridiron, augments VMworkload traces from Azure cloud with network bandwidth requirements. The keyto the Gridiron technique is to derive inter-VM network bandwidth requirementsusing Amdahl's second law. As a case study, we use Gridiron to generaterealistic traces with network bandwidth demands for a distributed machinelearning training application. Workloads generated with Gridiron allowdatacenter operators to estimate the network bandwidth demands of cloudapplications and enable more realistic cloud resource scheduler evaluation.

Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements