Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control"

This archive contains the data used for the paper <strong>Extending OpenStack Monasca for Predictive Elasticity Control</strong><br> Giacomo Lanciano*, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella Follow the instructions provided in the companion repo to automatically download and decompress the archive. The following files are included: <strong>File</strong> <strong>Description</strong> amphora-x64-haproxy.qcow2 Image used to create Octavia amphorae distwalk-{lin,aim,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;.csv Run traces distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;.log distwalk run log distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;-pred.json Predictive metric data exported from Monasca DB distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;-real.json Actual metric data exported from Monasca DB distwalk-{lin,mlp,rnn,stc}-&lt;INCREMENTAL-ID&gt;-times.csv Client-side response time for each request sent during a run model_dumps/* Dumps of the models and data scalers used for the validation predictor.log monasca-predictor log predictor-times.log monasca-predictor` log (timing info only) predictor-times-{lin,mlp,rnn}.{csv,log} monasca-predictor log (timing info only, group by predictor) super_steep_behavior.csv Dataset used to train MLP and RNN models test_behavior_02_distwalk-6t_last100.dat distwalk load trace ubuntu-20.04-min-distwalk.img Image used to create Nova instances for the scaling group This work extends our previous one appeared at the <em>IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC'21)</em>. * <em>contact author</em>本存档包含论文《为预测式弹性控制扩展OpenStack Monasca》所使用的全部数据。作者为贾科莫·兰恰诺（Giacomo Lanciano）*、菲利波·加利（Filippo Galli）、托马索·库奇诺塔（Tommaso Cucinotta）、戴维·巴丘（Davide Bacciu）、安德里亚·帕拉拉（Andrea Passarella）。请按照配套代码仓库中的说明自动下载并解压本存档。本次存档包含以下文件： 文件 描述 amphora-x64-haproxy.qcow2 用于创建Octavia负载均衡组件amphora的镜像文件 distwalk-{lin,aim,mlp,rnn,stc}-<INCREMENTAL-ID>.csv 运行轨迹文件 distwalk-{lin,mlp,rnn,stc}-<INCREMENTAL-ID>.log distwalk运行日志 distwalk-{lin,mlp,rnn,stc}-<INCREMENTAL-ID>-pred.json 从Monasca数据库导出的预测指标数据 distwalk-{lin,mlp,rnn,stc}-<INCREMENTAL-ID>-real.json 从Monasca数据库导出的实际指标数据 distwalk-{lin,mlp,rnn,stc}-<INCREMENTAL-ID>-times.csv 单次运行期间发送的所有请求的客户端响应时间数据集 model_dumps/* 用于验证预测器的模型与数据缩放器的转储文件 predictor.log monasca-predictor运行日志 predictor-times.log 仅包含计时信息的monasca-predictor运行日志 predictor-times-{lin,mlp,rnn}.{csv,log} 按预测器分组、仅包含计时信息的monasca-predictor运行日志 super_steep_behavior.csv 用于训练多层感知机（MLP）与循环神经网络（RNN）模型的数据集 test_behavior_02_distwalk-6t_last100.dat distwalk负载追踪文件 ubuntu-20.04-min-distwalk.img 用于为弹性伸缩组创建Nova（OpenStack计算服务）实例的镜像文件 本研究扩展了我们此前发表于**IEEE/ACM 第14届效用与云计算国际会议（UCC'21）**的前期工作。* 通讯作者。