Vmware, Inc.

Tsinghua University

Beijing Jingdong Shangke Information Technology Co., Ltd.

Beijing Jingdong Century Trading Co., Ltd.

Jian Lan

Hailing Xu

Bin Wang

Uday Suresh Masurekar

Qinglai Guo

Hongbin Sun

Wen Jie Wang

Wenchuan Wu

Nan Wang

Mani Kancherla

Weiqing Wu

Aravind Srinivasan

Todd Sabin

Liang Cui

Shengbo Teng

Yan Qi

YiSan Zhao

Xi Zeng

Prachi Dalvi

Yanzhen Zhou

Zhengcheng Wang

K Antion Shiban

Shuting Ma

A transient stability assessment method for an electric power system is disclosed. Transient stability tags and steady-state data of the electric power system before a failure occurs are collected from transient stability simulation data. Data sets under different predetermined failures are obtained based on a statistical result of the transient stability tags and a maximum-minimum method. A similarity evaluation index between different predetermined failures is constructed based on a Jaccard distance and a Hausdorff distance. Different predetermined failures are clustered based on a clustering algorithm. A parameters-shared siamese neural network is trained for different predetermined failures in each cluster to obtain a multi-task siamese neural network for the transient stability assessment. Transient stability assessment results of the electric power system under all the predetermined failures are obtained based on the statistical result of the transient stability tags and the multi-task siamese neural network for the transient stability assessment.

Transient stability assessment method for an electric power system

An example method of propagating fault domain topology information in a distributed container orchestration system includes: receiving, at control plane software executing in a data center, the fault domain topology, which includes tags for a protection group and fault domains for remote sites in communication with the data center; deploying, by a master server of the distributed container orchestration system that executes in the data center, a node pool comprising virtual machines (VMs) executing in servers of the remote sites, the VMs being nodes of the distributed container orchestration system in which containers execute; determining, by a controller of the master server, relationships among the VMs, the servers, the protection group, and the fault domains based on state of resources maintained by the master server; and providing, by the controller, labels to the servers for associating the tags of the protection group and the fault domains to the VMs.

Propagating fault domain topology to nodes in a distributed container orchestration system

A method and device for storing high-concurrency data. The method comprises: receiving high-concurrency data sent from a plurality of clients (); pushing the high-concurrency data into a primary data queue, and responding to a corresponding client (); consuming the high-concurrency data in the primary data queue by using multithreading (); fragmenting the high-concurrency data according to the number of local queues (); pushing the fragmented high-concurrency data into the local queues (); and consuming the high-concurrency data in the local queues and storing the high-concurrency data in a database (). By means of data asynchronous storage, high-concurrency data is temporarily stored in the primary data queue and the local queues, thereby alleviating pressure on the database, avoiding the problem of a database crash in the case of a high-concurrency storage, and improving the efficiency of storing high-concurrency data.

Method and device for storing high-concurrency data

Embodiments described herein relate to managing firewall rules. Embodiments include identifying a plurality of firewall rules for request handling. Embodiments include determining a deny count for each given firewall rule of the plurality of firewall rules based on a number of requests flagged on account of the given firewall rule. Embodiments include determining an anomaly score for each given firewall rule of the plurality of firewall rules indicating a severity of attacks the given firewall rule protects against. Embodiments include determining an urgency measure for each given firewall rule of the plurality of firewall rules based on the deny count for the given firewall rule and the anomaly score for the given firewall rule. Embodiments include determining an update to at least one firewall rule of the plurality of firewall rules based on the urgency measure for each given firewall rule of the plurality of firewall rules.

Managing firewall rules based on triggering statistics

Described herein are systems, methods, and software to enhance network traffic management for virtual machines. In one implementation, a network policy controller may maintain firewall rules at one or more hosts of a computing environment, wherein the firewall rules define network packet forwarding policies for application groups available to virtual machines in the environment. The network policy controller further identifies an application group for attachment to one or more virtual machines, and in response to the identification, adds the one or more virtual machines to a security group for a firewall wall rule corresponding to the application group.

Application attachment based firewall management

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Beijing, China

Jian Lan