公开(公告)号：US20180219754A1

公开(公告)日：2018-08-02

申请号：US15420248

申请日：2017-01-31

Applicant: Cisco Technology, Inc.

Inventor： Yathiraj B. Udupi ,  Aparupa Das Gupta ,  Rahul Ramakrishna

IPC: H04L12/26 ,  H04L29/08 ,  H04L12/24

CPC classification number: H04L43/08 ,  H04L41/147 ,  H04L41/16 ,  H04L41/5009

Abstract: In one embodiment, a device in a network aggregates values for a set of key performance indicators (KPIs) for a system the network to form a plurality of KPI states. The device associates a plurality of observed performance metric values from the system with the KPI states. The device constructs a machine learning-based decision tree. Internal vertices of the decision tree represent conditions for the plurality of observed performance metric values and leaves of the tree represent the KPI states. The device predicts a KPI state by using the machine learning-based decision tree to analyze live performance metric values streamed from the system. The device generates a proactive alert based on the predicted KPI state.

公开(公告)号：US09846589B2

公开(公告)日：2017-12-19

申请号：US14731166

申请日：2015-06-04

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Yathiraj B. Udupi ,  Debojyoti Dutta ,  Xinyuan Huang ,  Rishabh Jain ,  Aparupa Das Gupta

IPC: G06F15/16 ,  G06F9/455 ,  H04L29/08

CPC classification number: G06F9/45533 ,  G06F9/45558 ,  G06F2009/4557 ,  H04L67/10

Abstract: The present disclosure describes a method for virtual machine placement optimization based on generalized organizational scenarios. The method involves defining a variable matrix (wherein each entry of the variable matrix indicate whether a particular virtual machine is to be placed on a particular host server), a first set of variables (wherein each variable of the first set of variables indicate whether a particular host server has at least one virtual machine to be placed thereon), a second set of variables (wherein the second set of variables indicates for all possible pairs of host servers whether two particular host servers both have at least one virtual machine to be placed thereon). The method further involves determining a set of virtual machine to host server allocations by solving a constraints optimization problem over the first set of variables and the second set of variables based on a generalized organizational scenario.

公开(公告)号：US20170330096A1

公开(公告)日：2017-11-16

申请号：US15152379

申请日：2016-05-11

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Aparupa Das Gupta ,  Rahul Ramakrishna ,  Yathiraj B. Udupi ,  Debojyoti Dutta ,  Manoj Sharma

IPC: G06N5/04 ,  G06F17/30

CPC classification number: G06N5/025 ,  G06F11/30

Abstract: A method for ranking detected anomalies is disclosed. The method includes generating a graph based on a plurality of rules, wherein the graph comprises nodes representing metrics identified in the rules, edges connecting nodes where metrics associated with connected nodes are identified in a given rule, and edge weights of the edges each representing a severity level assigned to the given rule. The method further includes ranking nodes of the graph based on the edge weights. The method further includes ranking detected anomalies based on the ranking of the nodes corresponding to the metrics associated with the detected anomalies.

公开(公告)号：US20160359668A1

公开(公告)日：2016-12-08

申请号：US14731166

申请日：2015-06-04

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Yathiraj B. Udupi ,  Debojyoti Dutta ,  Xinyuan Huang ,  Rishabh Jain ,  Aparupa Das Gupta

IPC: H04L12/24 ,  H04L29/08

CPC classification number: G06F9/45533 ,  G06F9/45558 ,  G06F2009/4557 ,  H04L67/10

Abstract: The present disclosure describes a method for virtual machine placement optimization based on generalized organizational scenarios. The method involves defining a variable matrix (wherein each entry of the variable matrix indicate whether a particular virtual machine is to be placed on a particular host server), a first set of variables (wherein each variable of the first set of variables indicate whether a particular host server has at least one virtual machine to be placed thereon), a second set of variables (wherein the second set of variables indicates for all possible pairs of host servers whether two particular host servers both have at least one virtual machine to be placed thereon). The method further involves determining a set of virtual machine to host server allocations by solving a constraints optimization problem over the first set of variables and the second set of variables based on a generalized organizational scenario.

Abstract translation: 本公开描述了基于广义组织场景的用于虚拟机放置优化的方法。 该方法涉及定义可变矩阵（其中变量矩阵的每个条目表示特定虚拟机是否要被放置在特定主机服务器上），第一组变量（其中，第一组变量的每个变量指示是否 特定主机服务器具有至少一个要放置在其上的虚拟机），第二组变量（其中第二组变量指示所有可能的主机服务器对，无论两个特定主机服务器是否具有至少一个待放置的虚拟机 ）。 该方法还包括通过基于广义组织场景解决第一组变量和第二组变量来解决约束优化问题来确定一组虚拟机以主机服务器分配。