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公开(公告)号：US11354039B2
公开(公告)日：2022-06-07
申请号：US16879612
申请日：2020-05-20
Applicant: Cisco Technology, Inc.
Inventor： Johnu George , Kai Zhang , Yathiraj B. Udupi , Debojyoti Dutta
IPC: G06F3/06 , H04L67/1097 , G06F16/84
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：US10671289B2
公开(公告)日：2020-06-02
申请号：US16268397
申请日：2019-02-05
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：US09830240B2
公开(公告)日：2017-11-28
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.
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4.发明授权公开(公告)号：US09575828B2
公开(公告)日：2017-02-21
申请号：US14794676
申请日：2015-07-08
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Amit Agarwal , Debojyoti Dutta , Johnu George , Manoj Sharma , Kai Zhang , Marc Solanas Tarre , Aparupa Das Gupta , Yathiraj B. Udupi , Seth Mason
CPC classification number: G06F11/079 , G06F11/0709 , G06F11/0727 , G06F11/0751 , G06F11/0787 , G06F11/0793 , H04L67/1034 , H04L67/1097
Abstract: A method for assisting evaluation of anomalies in a distributed storage system is disclosed. The method includes a step of monitoring at least one system metric of the distributed storage system. The method further includes steps of maintaining a listing of patterns of the monitored system metric comprising patterns which previously did not result in a failure within one or more nodes of the distributed storage system, and, based on the monitoring, identifying a pattern (i.e., a time series motif) of the monitored system metric as a potential anomaly in the distributed storage system. The method also includes steps of automatically (i.e. without user input) performing a similarity search to determine whether the identified pattern satisfies one or more predefined similarity criteria with at least one pattern of the listing, and, upon positive determination, excepting the identified pattern from being identified as the potential anomaly.
Abstract translation: 公开了一种用于辅助评估分布式存储系统中的异常的方法。 该方法包括监视分布式存储系统的至少一个系统度量的步骤。 该方法还包括以下步骤：维护所监视的系统度量的模式的列表，其包括先前不会在分布式存储系统的一个或多个节点内导致故障的模式，并且基于该监视，识别模式（即， 监控系统度量的时间序列主题作为分布式存储系统中的潜在异常。 该方法还包括自动执行相似性搜索（即，不进行用户输入）以确定所识别的模式是否满足具有列表的至少一种模式的一个或多个预定义相似性标准的步骤，并且在正确定义之后，除了所识别的模式 被确定为潜在的异常。
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公开(公告)号：US10222986B2
公开(公告)日：2019-03-05
申请号：US14713851
申请日：2015-05-15
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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Patent Agency Ranking
公开(公告)号：US10664169B2
公开(公告)日：2020-05-26
申请号：US15192255
申请日：2016-06-24
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Johnu George , Kai Zhang , Marc Solanas Tarre , Debojyoti Dutta , Manoj Sharma
IPC: G06F3/06
Abstract: Approaches are disclosed for improving performance of logical disks. A logical disk can comprise several storage devices. In an object storage system (OSS), when a logical disk stores a file, fragments of the file are stored distributed across the storage devices. Each of the fragments of the file is asymmetrically stored in (write) and retrieved from (read) the storage devices. The performance of the logical disk is improved by reconfiguring one or more of the storage devices based on an influence that each of the storage devices has on performance of the logical disk and the asymmetric read and write operations of each of the storage devices. For example, latency of the logical disk can be reduced by reconfiguring one or more of the plurality of storage disks based on a proportion of the latency of the logical device that is attributable to each of the plurality of storage devices.
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7.发明申请公开(公告)号：US20170010931A1
公开(公告)日：2017-01-12
申请号：US14794676
申请日：2015-07-08
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Amit Agarwal , Debojyoti Dutta , Johnu George , Manoj Sharma , Kai Zhang , Marc Solanas Tarre , Aparupa Das Gupta , Yathiraj B. Udupi , Seth Mason
CPC classification number: G06F11/079 , G06F11/0709 , G06F11/0727 , G06F11/0751 , G06F11/0787 , G06F11/0793 , H04L67/1034 , H04L67/1097
Abstract: A method for assisting evaluation of anomalies in a distributed storage system is disclosed. The method includes a step of monitoring at least one system metric of the distributed storage system. The method further includes steps of maintaining a listing of patterns of the monitored system metric comprising patterns which previously did not result in a failure within one or more nodes of the distributed storage system, and, based on the monitoring, identifying a pattern (i.e., a time series motif) of the monitored system metric as a potential anomaly in the distributed storage system. The method also includes steps of automatically (i.e. without user input) performing a similarity search to determine whether the identified pattern satisfies one or more predefined similarity criteria with at least one pattern of the listing, and, upon positive determination, excepting the identified pattern from being identified as the potential anomaly.
Abstract translation: 公开了一种用于辅助评估分布式存储系统中的异常的方法。 该方法包括监视分布式存储系统的至少一个系统度量的步骤。 该方法还包括以下步骤：维护所监视的系统度量的模式的列表，其包括先前不会在分布式存储系统的一个或多个节点内导致故障的模式，并且基于该监视，识别模式（即， 监控系统度量的时间序列主题作为分布式存储系统中的潜在异常。 该方法还包括自动执行相似性搜索（即，不进行用户输入）以确定所识别的模式是否满足具有列表的至少一种模式的一个或多个预定义相似性标准的步骤，并且在正确定义之后，除了所识别的模式 被确定为潜在的异常。
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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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