公开(公告)号：US20180300116A1

公开(公告)日：2018-10-18

申请号：US16012397

申请日：2018-06-19

Applicant: Huawei Technologies Co., Ltd.

Inventor： Dmitry Meytin ,  Zhuoyue Liu ,  Wei Wang ,  Shay Horovitz

IPC: G06F8/60 ,  G06F9/455

Abstract: A method for automatic application deployment, and a cloud management node, where the method includes receiving an application orchestration template input by a user, parsing out an application model characteristic of an application from the application orchestration template, determining, according to the application model characteristic and a preset rule, a first instance creation manner corresponding to the application, determining a first computer device corresponding to the first instance creation manner in multiple computer devices, and sending a first instance creation command to the first computer device, the first instance creation command instructing the first computer device to create a first instance for the application according to the first instance creation manner. Therefore, application can be efficiently deployed automatically.

公开(公告)号：US20140219101A1

公开(公告)日：2014-08-07

申请号：US14143129

申请日：2013-12-30

Applicant: Huawei Technologies Co., Ltd.

Inventor： Shay Horovitz ,  Peisong Li ,  Yair Arian

IPC: H04L12/851

CPC classification number: H04L47/2483 ,  H04L63/1408

Abstract: Embodiments of the present invention provide a feature extraction apparatus, and a network traffic identification method, apparatus, and system. An unidentified data stream sent by a traffic identification apparatus is received, and behavior features of the unidentified data stream are extracted to obtain a traffic behavior feature of the unidentified data stream; the traffic behavior feature is sent to the traffic identification apparatus, so that the traffic identification apparatus identifies the unidentified data stream according to the traffic behavior feature. Therefore, the behavior feature extraction efficiency is high, and the identification ratio of data streams in the existing network is improved.

Abstract translation: 本发明的实施例提供一种特征提取装置，以及网络流量识别方法，装置和系统。 接收由流量识别装置发送的未识别的数据流，并且提取未识别数据流的行为特征以获得未识别数据流的流行为特征; 流量行为特征被发送到流量识别装置，使得流量识别装置根据流行为特征识别未识别的数据流。 因此，行为特征提取效率高，现有网络中数据流的识别率提高。

公开(公告)号：US10824408B2

公开(公告)日：2020-11-03

申请号：US16012397

申请日：2018-06-19

Applicant: Huawei Technologies Co., Ltd.

Inventor： Dmitry Meytin ,  Zhuoyue Liu ,  Wei Wang ,  Shay Horovitz

IPC: G06F9/455 ,  G06F8/60 ,  H04L29/08 ,  H04L29/06

Abstract: A method for automatic application deployment, and a cloud management node, where the method includes receiving an application orchestration template input by a user, parsing out an application model characteristic of an application from the application orchestration template, determining, according to the application model characteristic and a preset rule, a first instance creation manner corresponding to the application, determining a first computer device corresponding to the first instance creation manner in multiple computer devices, and sending a first instance creation command to the first computer device, the first instance creation command instructing the first computer device to create a first instance for the application according to the first instance creation manner. Therefore, application can be efficiently deployed automatically.