公开(公告)号：WO2017074595A1

公开(公告)日：2017-05-04

申请号：PCT/US2016/051865

申请日：2016-09-15

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： XU, Qiang ,  LUMEZANU, Cristian ,  JIN, Cheng ,  BAEK, Hyun-Wook ,  JIANG, Guofei

IPC: H04L12/801

CPC classification number: H04L43/0882 ,  H04L41/0823 ,  H04L41/14 ,  H04L43/0823 ,  H04L45/22 ,  H04L45/54 ,  H04L45/70 ,  H04L47/22

Abstract: Methods and systems for network management include performing (304) path regression to determine an end-to-end path across physical links for each data flow in a network. A per-flow utilization of each physical link in the network is estimated (314) based on the determined end-to-end paths. A management action is performed (316) in the network based on the estimated per-flow utilization.

Abstract translation: 用于网络管理的方法和系统包括执行（304）路径回归以确定网络中每个数据流的物理链路之间的端到端路径。 基于所确定的端到端路径来估计（314）网络中的每个物理链路的每流利用率。 基于估计的每流利用率，在网络中执行（316）管理动作。

公开(公告)号：WO2015023617A1

公开(公告)日：2015-02-19

申请号：PCT/US2014/050615

申请日：2014-08-12

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： LUMEZANU, Cristian ,  ZANFIS, Kyriakos ,  JIANG, Guofei

IPC: H04L12/26 ,  H04L12/24

CPC classification number: H04L43/04 ,  H04L41/046 ,  H04L41/147 ,  H04L43/026

Abstract: Systems and methods for network management, including adaptively installing one or more monitoring rules in one or more network devices on a network using an intelligent network middleware, detecting application traffic on the network transparently using an application demand monitor, and predicting future network demands of the network by analyzing historical and current demands. The one or more monitoring rules are updated once counters are collected; and network paths are determined and optimized to meet network demands and maximize utilization and application performance with minimal congestion on the network.

Abstract translation: 网络管理系统和方法，包括使用智能网络中间件在网络上的一个或多个网络设备中自适应地安装一个或多个监控规则，使用应用需求监控器透明地检测网络上的应用流量，以及预测未来网络需求 分析历史和当前需求的网络。 收集计数器后，更新一个或多个监控规则; 并确定和优化网络路径以满足网络需求并最大程度地利用和应用性能，同时网络拥塞最小。

公开(公告)号：WO2015021248A1

公开(公告)日：2015-02-12

申请号：PCT/US2014/050097

申请日：2014-08-07

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： ARORA, Nipun ,  ZHANG, Hui ,  LUMEZANU, Cristian ,  RHEE, Junghwan ,  JIANG, Guofei ,  LU, Hui

IPC: H04L12/24 ,  H04L12/64

CPC classification number: H04L41/082 ,  H04L12/4675 ,  H04L41/0226 ,  H04L41/0803 ,  H04L41/12 ,  H04L41/20

Abstract: Method and systems for controlling a hybrid network having software-defined network (SDN) switches and legacy switches include initializing a hybrid network topology by retrieving information on a physical and virtual infrastructure of the hybrid network; generating a path between two nodes on the hybrid network based on the physical and virtual infrastructure of the hybrid network; generating a virtual local area network by issuing remote procedure call instructions to legacy switches in accordance with a network configuration request; and generating an SDN network slice by issuing SDN commands to SDN switches in accordance with the network configuration request.

Abstract translation: 用于控制具有软件定义网络（SDN）交换机和传统交换机的混合网络的方法和系统包括通过检索混合网络的物理和虚拟基础设施上的信息来初始化混合网络拓扑; 基于混合网络的物理和虚拟基础设施，在混合网络上生成两个节点之间的路径; 通过根据网络配置请求向传统交换机发出远程过程呼叫指令来生成虚拟局域网; 以及根据网络配置请求向SDN交换机发出SDN命令来生成SDN网络切片。

公开(公告)号：WO2013106386A2

公开(公告)日：2013-07-18

申请号：PCT/US2013/020765

申请日：2013-01-09

Applicant: NEC LABORATORIES AMERICA, Inc.

Inventor： LUMEZANU, Cristian ,  JIANG, Guofei ,  ZHANG, Yueping ,  SINGH, Vishal ,  WANG, Ye

IPC: H04L12/26

CPC classification number: H04L47/12 ,  H04L43/026 ,  H04L43/16 ,  H04L47/2441 ,  H04L47/41 ,  H04L63/1425 ,  Y02D50/30

Abstract: A device used in a network is disclosed. The device includes a network monitor to monitor a network state and to collect statistics for flows going through the network, a flow aggregation unit to aggregate flows into clusters and identify flows that can cause a network problem, and an adaptive control unit to adaptively regulate the identified flow according to network feedback. Other methods and systems also are disclosed.

Abstract translation: 公开了在网络中使用的设备。 该设备包括：网络监控器，用于监控网络状态并收集流经网络的流量的统计数据;流量聚合单元，用于将流量聚合到群集中并识别可引起网络问题的流量;自适应控制单元，用于自适应地调节 根据网络反馈识别流量。 其他方法和系统也被公开。

公开(公告)号：WO2022216792A1

公开(公告)日：2022-10-13

申请号：PCT/US2022/023620

申请日：2022-04-06

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： MIZOGUCHI, Takehiko ,  LUMEZANU, Cristian ,  CHEN, Yuncong ,  CHEN, Haifeng

IPC: G06N3/04 ,  G06F11/30 ,  G06N3/08

Abstract: Methods and systems for training a model include training a feature extraction model to extract a feature vector from a multivariate time series segment, based on a set of training data corresponding to measurements of a system in a first domain. Adapting the feature extraction model to a second domain, based on prototypes of the training data in the first domain and new time series data corresponding to measurements of the system in a second domain.

公开(公告)号：WO2021015936A1

公开(公告)日：2021-01-28

申请号：PCT/US2020/040649

申请日：2020-07-02

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： CHEN, Yuncong ,  YUAN, Hao ,  SONG, Dongjin ,  LUMEZANU, Cristian ,  CHEN, Haifeng ,  MIZOGUCHI, Takehiko

IPC: G06F16/33 ,  G06F16/35 ,  G06N3/08

Abstract: A system (200) for cross-modal data retrieval is provided that includes a neural network having a time series encoder (211) and text encoder (212) which are jointly trained using an unsupervised training method which is based on a loss function. The loss function jointly evaluates a similarity of feature vectors of training sets of two different modalities of time series and free-form text comments and a compatibility of the time series and the free-form text comments with a word-overlap-based spectral clustering method configured to compute pseudo labels for the unsupervised training method. The computer processing system further includes a database (205) for storing the training sets with feature vectors extracted from encodings of the training sets. The encodings are obtained by encoding a training set of the time series using the time series encoder and encoding a training set of the free-form text comments using the text encoder.

公开(公告)号：WO2016032898A1

公开(公告)日：2016-03-03

申请号：PCT/US2015/046313

申请日：2015-08-21

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： LUMEZANU, Cristian ,  JIN, Cheng ,  ZHANG, Hui ,  SHARMA, Abhishek ,  XU, Qiang ,  ARORA, Nipun ,  JIANG, Guofei

IPC: H04L12/721 ,  H04L12/761 ,  H04L12/937 ,  H04L12/64

CPC classification number: H04L45/48 ,  H04L12/462 ,  H04L45/14 ,  H04L45/16 ,  H04L45/18 ,  H04L45/64

Abstract: Systems and methods for controlling legacy switch routing in one or more hybrid networks of interconnected computers and switches, including generating a network underlay (304) for the one or more hybrid networks by generating a minimum spanning tree (MST) (306) and a forwarding graph (FWG) (308) over a physical network topology of the one or more hybrid networks (400), determining an optimal path between hosts on the FWG by optimizing an initial path with a minimum cost mapping (312), and adjusting the initial path (310) to enforce the optimal path (314) by generating and installing special packets in one or more programmable switches to trigger installation of forwarding rules for one or more legacy switches (516).

Abstract translation: 用于控制互连计算机和交换机的一个或多个混合网络中的传统交换机路由的系统和方法，包括通过生成最小生成树（MST）（306）和转发来为所述一个或多个混合网络生成网络底层（304） 通过一个或多个混合网络（400）的物理网络拓扑图（FWG）（308），通过利用最小成本映射优化初始路径（312）来确定FWG上的主机之间的最佳路径，并且调整初始 路径（310），以通过在一个或多个可编程交换机中生成和安装特殊分组来触发一个或多个传统交换机（516）的转发规则的安装来强制实现最佳路径（314）。

公开(公告)号：WO2016029031A1

公开(公告)日：2016-02-25

申请号：PCT/US2015/046138

申请日：2015-08-20

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： XU, Qiang ,  LUMEZANU, Cristian ,  LIU, Zhuotao ,  ARORA, Nipun ,  SHARMA, Abhishek ,  ZHANG, Hui ,  JIANG, Guofei

IPC: H04L12/751 ,  G06F9/455

CPC classification number: H04L41/12 ,  G06F9/45533 ,  H04L41/083 ,  H04L43/087 ,  H04L45/02 ,  H04L45/121 ,  H04L45/123 ,  H04L45/124

Abstract: Systems and methods for decoupled searching and optimization for one or more data centers, including determining a network topology for one or more networks of interconnected computer systems embedded in the one or more data centers (304), searching for routing candidates based on a network topology determined (310), and updating (314) and applying (316) one or more objective functions to the routing candidates to determine an optimal routing candidate to satisfy embedding goals based on tenant requests, and to embed the optimal routing candidate in the one or more data centers (412).

Abstract translation: 一种用于一个或多个数据中心的去耦合搜索和优化的系统和方法，包括确定嵌入在一个或多个数据中心（304）中的互连计算机系统的一个或多个网络的网络拓扑，基于网络拓扑搜索路由选择 确定（310）并且更新（314）并且将（316）一个或多个目标函数应用于路由候选以基于租户请求来确定最佳路由选择以满足嵌入目标，并且将最佳路由候选嵌入在一个或 更多数据中心（412）。

公开(公告)号：WO2022072772A1

公开(公告)日：2022-04-07

申请号：PCT/US2021/053078

申请日：2021-10-01

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： CHEN, Yuncong ,  CHEN, Zhengzhang ,  LUMEZANU, Cristian ,  NATSUMEDA, Masanao ,  YU, Xiao ,  CHENG, Wei ,  MIZOGUCHI, Takehiko ,  CHEN, Haifeng

IPC: G06N3/08 ,  G06N3/04 ,  G06N5/02

Abstract: A method for system metric prediction and influential events identification by concurrently employing metric logs and event logs is presented. The method includes concurrently modeling (1301) multivariate metric series and individual events in event series by a multi-stream recurrent neural network (RNN) to improve prediction of future metrics, where the multi- stream RNN includes a series of RNNs, one RNN for each metric and one RNN for each event sequence and modeling (1303) causality relations between the multivariate metric series and the individual events in the event series by employing an attention mechanism to identify target events most responsible for fluctuations of one or more target metrics.

公开(公告)号：WO2022055698A1

公开(公告)日：2022-03-17

申请号：PCT/US2021/047286

申请日：2021-08-24

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： LUMEZANU, Cristian ,  CHEN, Yuncong ,  MIZOGUCHI, Takehiko ,  SONG, Dongjin ,  CHEN, Haifeng ,  NAZAROVS, Jurijs

IPC: G06F11/30 ,  G05B23/02 ,  G06N3/08 ,  G06N5/04

Abstract: A method classifies missing labels. The method computes (320), using a neural network model trained on training data, rank-based statistics of a feature of a time series segment to attempt to select two candidate labels from the training data that the segment most likely belongs to. The method classifies(350) the segment using k-NN-based classification applied to the training data, responsive to the two candidate labels being present in the training data. The method classifies (335) the segment by hypothesis testing, responsive to only one candidate label being present in the training data. The method classifies (345) the segment into a class with higher values of the rank-based statistics from among a plurality of classes with different values of the rank-based statistics, responsive to no candidate labels being present in the training data. The method corrects (340) a prediction by an applicable one of the classifying steps by majority voting with time windows.