公开(公告)号：US11750471B2

公开(公告)日：2023-09-05

申请号：US18001900

申请日：2020-06-16

申请人： Siemens Aktiengesellschaft

发明人： Qi Wang ,  Shuangquan Gui ,  Hong Mu ,  He Yu ,  Zhou Yuan

IPC分类号： H04L41/5009 ,  H04L41/14 ,  H04L41/0806

CPC分类号： H04L41/5009 ,  H04L41/0806 ,  H04L41/145

摘要： Various embodiments include methods for determining a resource configuration of a cloud service system using a system simulation tool with a model library. This may include: obtaining a model required for each service; obtaining a resource limit setting of each required model; creating a service workflow among the models to obtain a system simulation model, indicating the interaction workflow among the models and the sequence of model execution in a single service; using training data to train a service performance model of each service, wherein the training data comprises test data collected from the cloud service system in a testing environment, and the service performance model defines a resource consumption of a single request running on a service in the system simulation model; performing system simulation with a given resource configuration set and the resource limit settings, to obtain a system performance KPI; and determining a resource configuration with the best KPI.

公开(公告)号：US20230188432A1

公开(公告)日：2023-06-15

申请号：US18001900

申请日：2020-06-16

申请人： Siemens Aktiengesellschaft

发明人： Qi Wang ,  Shuangquan Gui ,  Hong Mu ,  He Yu ,  Zhou Yuan

IPC分类号： H04L41/5009 ,  H04L41/0806 ,  H04L41/14

CPC分类号： H04L41/5009 ,  H04L41/0806 ,  H04L41/145

摘要： Various embodiments include methods for determining a resource configuration of a cloud service system using a system simulation tool with a model library. This may include: obtaining a model required for each service; obtaining a resource limit setting of each required model; creating a service workflow among the models to obtain a system simulation model, indicating the interaction workflow among the models and the sequence of model execution in a single service; using training data to train a service performance model of each service, wherein the training data comprises test data collected from the cloud service system in a testing environment, and the service performance model defines a resource consumption of a single request running on a service in the system simulation model; performing system simulation with a given resource configuration set and the resource limit settings, to obtain a system performance KPI; and determining a resource configuration with the best KPI.