论文标题
Gridiron：一种用于增加网络带宽要求的云工作负载的技术
Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements
论文作者
论文摘要
云应用程序不仅使用服务器资源，还需要网络资源。我们提出了一种新技术，以建模网络云应用程序的网络带宽需求。我们的技术，烤架，从具有网络带宽要求的Azure Cloud增强了VM工作负载跟踪。烤架技术的关键是使用Amdahl的第二定律得出Inter-VM网络带宽要求。作为案例研究，我们使用烤架来生成具有网络带宽需求的现实痕迹，以针对分布式机器学习培训应用程序。用烤架生成的工作负载允许数据中心运算符估计云应用程序的网络带宽需求，并启用更现实的云资源调度程序评估。
Cloud applications use more than just server resources, they also require networking resources. We propose a new technique to model network bandwidth demand of networked cloud applications. Our technique, Gridiron, augments VM workload traces from Azure cloud with network bandwidth requirements. The key to the Gridiron technique is to derive inter-VM network bandwidth requirements using Amdahl's second law. As a case study, we use Gridiron to generate realistic traces with network bandwidth demands for a distributed machine learning training application. Workloads generated with Gridiron allow datacenter operators to estimate the network bandwidth demands of cloud applications and enable more realistic cloud resource scheduler evaluation.
