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1.发明授权公开(公告)号：US11120343B2
公开(公告)日：2021-09-14
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
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.
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公开(公告)号：US20200285396A1
公开(公告)日：2020-09-10
申请号：US16879612
申请日：2020-05-20
Applicant: Cisco Technology, Inc.
Inventor： Johnu George , Kai Zhang , Yathiraj B. Udupi , Debojyoti Dutta
Abstract: Embodiments include receiving an indication of a data storage module to be associated with a tenant of a distributed storage system, allocating a partition of a disk for data of the tenant, creating a first association between the data storage module and the disk partition, creating a second association between the data storage module and the tenant, and creating rules for the data storage module based on one or more policies configured for the tenant. Embodiments further include receiving an indication of a type of subscription model selected for the tenant, and selecting the disk partition to be allocated based, at least in part, on the subscription model selected for the tenant. More specific embodiments include generating a storage map indicating the first association between the data storage module and the disk partition and indicating the second association between the data storage module and the tenant.
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公开(公告)号：US20190171371A1
公开(公告)日：2019-06-06
申请号：US16268397
申请日：2019-02-05
Applicant: Cisco Technology, Inc.
Inventor： Johnu George , Kai Zhang , Yathiraj B. Udupi , Debojyoti Dutta
CPC classification number: G06F3/0608 , G06F3/0605 , G06F3/0631 , G06F3/0644 , G06F3/0665 , G06F3/067 , G06F16/84 , H04L67/1097
Abstract: Embodiments include receiving an indication of a data storage module to be associated with a tenant of a distributed storage system, allocating a partition of a disk for data of the tenant, creating a first association between the data storage module and the disk partition, creating a second association between the data storage module and the tenant, and creating rules for the data storage module based on one or more policies configured for the tenant. Embodiments further include receiving an indication of a type of subscription model selected for the tenant, and selecting the disk partition to be allocated based, at least in part, on the subscription model selected for the tenant. More specific embodiments include generating a storage map indicating the first association between the data storage module and the disk partition and indicating the second association between the data storage module and the tenant.
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公开(公告)号：US20160349993A1
公开(公告)日：2016-12-01
申请号：US14726182
申请日：2015-05-29
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Yathiraj B. Udupi , Johnu George , Debojyoti Dutta , Kai Zhang
IPC: G06F3/06
CPC classification number: G06F3/061 , G06F3/0605 , G06F3/0619 , G06F3/065 , G06F3/0665 , G06F3/067 , G06F3/0689
Abstract: The present disclosure describes, among other things, a method for managing and optimizing distributed object storage on a plurality of storage devices of a storage cluster. The method comprises computing, by a states engine, respective scores associated with the storage devices based on a set of characteristics associated with each storage device and a set of weights corresponding to the set of characteristics, and computing, by the states engine, respective bucket weights for leaf nodes and parent node(s) of a hierarchical map of the storage cluster based on the respective scores associated with the storage devices, wherein each leaf nodes represent a corresponding storage device and each parent node aggregates one or more storage devices.
Abstract translation: 本公开尤其描述了一种用于在存储集群的多个存储设备上管理和优化分布式对象存储的方法。 该方法包括由状态引擎基于与每个存储设备相关联的一组特性以及与该组特征相对应的一组权重来计算与存储设备相关联的各个分数，以及由状态引擎计算相应的桶 基于与存储设备相关联的各个分数，存储集群的分层映射的叶节点和父节点的权重，其中每个叶节点表示相应的存储设备，并且每个父节点聚合一个或多个存储设备。
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公开(公告)号：US10884807B2
公开(公告)日：2021-01-05
申请号：US15485910
申请日：2017-04-12
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Komei Shimamura , Timothy Okwii , Debojyoti Dutta , Yathiraj B. Udupi , Rahul Ramakrishna , Xinyuan Huang
IPC: G06F9/50
Abstract: In one embodiment, a method for serverless computing comprises: receiving a task definition, wherein the task definition comprises a first task and a second task chained to the first task; adding the first task and the second task to a task queue; executing the first task from the task queue using hardware computing resources in a first serverless environment associated with a first serverless environment provider; and executing the second task from the task queue using hardware computing resources in a second serverless environment selected based on a condition on an output of the first task.
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Patent Agency Ranking
公开(公告)号：US10733037B2
公开(公告)日：2020-08-04
申请号：US15342340
申请日：2016-11-03
Applicant: Cisco Technology, Inc.
Inventor： Rahul Ramakrishna , Yathiraj B. Udupi , Debojyoti Dutta
Abstract: In one embodiment, a server in a network reports one or more symptoms of a monitored device that is malfunctioning to a user interface via a particular chatbot session. The server receives, via the particular chatbot session, a triage request to enter a triage mode regarding the one or more reported symptoms. The server predicts a corrective action using the one or more reported symptoms as input to a machine learning model. The machine learning model is trained using a history of observed symptoms in the network, a history of corrective actions initiated via chatbot sessions and associated with the observed symptoms, and a history of feedback regarding the corrective actions received via the chatbot sessions. The server provides the predicted corrective action to the user interface via the particular chatbot session as a suggested corrective action, in response to the received triage request.
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公开(公告)号：US20180091376A1
公开(公告)日：2018-03-29
申请号：US15278740
申请日：2016-09-28
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Rahul Ramakrishna , Yathiraj B. Udupi , Ralf Rantzau
IPC: H04L12/24 , H04L12/813
Abstract: In an example, there is disclosed a logging server computing apparatus, having: a processor; a memory; and a logging engine to: analyze a network; build an entity-state matrix M from an entity vector e and a state vector s; determine that there is a strong correlation between an entity ec and a state sc; and report the strong correlation.
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公开(公告)号：US20180027004A1
公开(公告)日：2018-01-25
申请号：US15350717
申请日：2016-11-14
Applicant: Cisco Technology, Inc.
Inventor： Xinyuan Huang , Sarvesh Ranjan , Olivia Zhang , Yathiraj B. Udupi , Debojyoti Dutta
CPC classification number: H04L63/1425 , H04L41/0631 , H04L41/16 , H04L43/04 , H04L43/08 , H04L63/162
Abstract: In one embodiment, a device in a network receives a first plurality of measurements for network metrics captured during a first time period. The device determines a first set of correlations between the network metrics using the first plurality of measurements captured during the first time period. The device receives a second plurality of measurements for the network metrics captured during a second time period. The device determines a second set of correlations between the network metrics using the second plurality of measurements captured during the second time period. The device identifies a difference between the first and second sets of correlations between the network metrics as a network anomaly.
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公开(公告)号：US09699085B2
公开(公告)日：2017-07-04
申请号：US14540752
申请日：2014-11-13
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Yathiraj B. Udupi , Debojyoti Dutta , Lewis W. Tucker
IPC: H04L12/24 , H04L12/743 , H04L12/923 , H04L29/08 , G06F9/50 , H04L29/06
CPC classification number: H04L45/7453 , G06F9/5077 , H04L41/0813 , H04L41/0853 , H04L47/762 , H04L67/10 , H04L67/32 , H04L67/327 , H04L69/24
Abstract: The present disclosure describes a distributed, advertisement-based, solution for scheduling virtual resources in cloud infrastructures such as the OpenStack. The scheduling algorithm distributes the scheduling requirements and host state feasibility checks to the individual hosts in the datacenter, which can periodically send a summarized advertisement to the scheduler controller listing the number of instances of different type(s) of virtual resources that a particular host can support. The scheduler controller, thus no longer has to compute and maintain individual host states, and the scheduling problem is reduced to selecting the feasible advertisements that satisfy a given request. The solution can be extended to a scenario of multiple scheduler controllers using the same distributed, advertisement-based, approach.
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公开(公告)号：US20160335166A1
公开(公告)日：2016-11-17
申请号：US14712762
申请日：2015-05-14
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Johnu George , Marc Solanas Tarre , Kai Zhang , Yathiraj B. Udupi
CPC classification number: G06F11/2094 , G06F3/0619 , G06F3/0647 , G06F3/067 , G06F11/00
Abstract: Embodiments include obtaining at least one system metric of a distributed storage system, generating one or more recovery parameters based on the at least one system metric, identifying at least one policy associated with data stored in a storage node of a plurality of storage nodes in the distributed storage system, and generating a recovery plan for the data based on the one or more recovery parameters and the at least one policy. In more specific embodiments, the recovery plan includes a recovery order for recovering the data. Further embodiments include initiating a recovery process to copy replicas of the data from a second storage node to a new storage node, wherein the replicas of the data are copied according to the recovery order indicated in the recovery plan.
Abstract translation: 实施例包括获得分布式存储系统的至少一个系统度量，基于至少一个系统度量来生成一个或多个恢复参数，识别与存储在多个存储节点的存储节点中的数据相关联的至少一个策略 分布式存储系统，以及基于所述一个或多个恢复参数和所述至少一个策略来生成用于所述数据的恢复计划。 在更具体的实施例中，恢复计划包括用于恢复数据的恢复顺序。 进一步的实施例包括发起恢复过程以将数据的副本从第二存储节点复制到新的存储节点，其中根据恢复计划中指示的恢复顺序复制数据的副本。
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