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公开(公告)号：US20240195870A1
公开(公告)日：2024-06-13
申请号：US18063110
申请日：2022-12-08
IPC分类号： H04L67/1097 , G06F3/06
CPC分类号： H04L67/1097 , G06F3/0617 , G06F3/0626 , G06F3/065 , G06F3/0689
摘要： In some examples, a fleet storage provider performs storage management operations for a fleet of storage arrays, the storage arrays in the fleet of storage arrays being of one or more storage types. In response to an addition, to the fleet of storage arrays, of a new storage array of a first storage type different from each storage type of the one or more storage types, a system identifies the new storage array as being associated with a first storage class of a plurality of different storage classes, and associates the new storage array with a fleet service that abstracts component details of the fleet of storage arrays to the fleet storage provider. In response to a request, the system provisions a storage volume on a selected storage array of the fleet of storage arrays, the provisioning performed by the fleet storage provider in cooperation with the fleet service.
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公开(公告)号：US12101378B2
公开(公告)日：2024-09-24
申请号：US18063110
申请日：2022-12-08
IPC分类号： H04L67/1097 , G06F3/06
CPC分类号： H04L67/1097 , G06F3/0617 , G06F3/0626 , G06F3/065 , G06F3/0689
摘要： In some examples, a fleet storage provider performs storage management operations for a fleet of storage arrays, the storage arrays in the fleet of storage arrays being of one or more storage types. In response to an addition, to the fleet of storage arrays, of a new storage array of a first storage type different from each storage type of the one or more storage types, a system identifies the new storage array as being associated with a first storage class of a plurality of different storage classes, and associates the new storage array with a fleet service that abstracts component details of the fleet of storage arrays to the fleet storage provider. In response to a request, the system provisions a storage volume on a selected storage array of the fleet of storage arrays, the provisioning performed by the fleet storage provider in cooperation with the fleet service.
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公开(公告)号：US12093530B2
公开(公告)日：2024-09-17
申请号：US17303883
申请日：2021-06-09
发明人： Mayukh Dutta , Aesha Dhar Roy , Manoj Srivatsav , Ganesha Devadiga , Geethanjali N Rao , Prasenjit Saha , Jharna Aggarwal
CPC分类号： G06F3/0613 , G06F3/0659 , G06F3/067 , G06N20/00
摘要： In some examples, a system creates a training data set based on features of sample workloads, the training data set comprising labels associated with the features of the sample workloads, where the labels are based on load indicators generated in a computing environment relating to load conditions of the computing environment resulting from execution of the sample workloads. The system groups selected workloads into a plurality of workload clusters based on features of the selected workloads, and computes, using a model trained based on the training data set, parameters representing contributions of respective workload clusters of the plurality of workload clusters to a load in the computing environment. The system performs workload management in the computing environment based on the computed parameters.
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公开(公告)号：US20230251785A1
公开(公告)日：2023-08-10
申请号：US17650426
申请日：2022-02-09
发明人： Mayukh Dutta , Aesha Dhar Roy , Manoj Srivatsav
IPC分类号： G06F3/06
CPC分类号： G06F3/0631 , G06F3/0604 , G06F3/0683
摘要： In some examples, a system receives input information of characteristics relating to a storage volume to be provisioned in a collection of storage systems, determines, based on the input information of the characteristics relating to the storage volume, a workload profile, and simulates execution of a workload according to the workload profile in each storage system of the collection of storage systems. Based on the simulation, the system determines a respective amount of headroom used by the workload in each storage system of the collection of storage systems, and selects, based on the determined respective amounts of headroom used by the workload in respective storage systems of the collection of storage systems, a storage system from the collection of storage systems on which the storage volume is to be provisioned.
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公开(公告)号：US11436052B2
公开(公告)日：2022-09-06
申请号：US16865716
申请日：2020-05-04
发明人： Mayukh Dutta , Manoj Srivatsav , Aesha Dhar Roy
摘要： In some examples, using a model generated from an aggregation of parameter values for a plurality of host systems, a system predicts an operational metric representing usage or performance of a shared resource due to a requester in a first host system of the plurality of host systems, the shared resource being outside of the plurality of host systems.
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公开(公告)号：US20240319885A1
公开(公告)日：2024-09-26
申请号：US18677326
申请日：2024-05-29
发明人： Mayukh Dutta , Aesha Dhar Roy , Manoj Srivatsav , Ganesha Devadiga , Geethanjali N. Rao , Prasenjit Saha , Jharna Aggarwal
CPC分类号： G06F3/0613 , G06F3/0659 , G06F3/067 , G06N20/00
摘要： In some examples, a system creates a training data set based on features of sample workloads, the training data set comprising labels associated with the features of the sample workloads, where the labels are based on load indicators generated in a computing environment relating to load conditions of the computing environment resulting from execution of the sample workloads. The system groups selected workloads into a plurality of workload clusters based on features of the selected workloads, and computes, using a model trained based on the training data set, parameters representing contributions of respective workload clusters of the plurality of workload clusters to a load in the computing environment. The system performs workload management in the computing environment based on the computed parameters.
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公开(公告)号：US20220398021A1
公开(公告)日：2022-12-15
申请号：US17303883
申请日：2021-06-09
发明人： Mayukh Dutta , Aesha Dhar Roy , Manoj Srivatsav , Ganesha Devadiga , Geethanjali N. Rao , Prasenjit Saha , Jharna Aggarwal
摘要： In some examples, a system creates a training data set based on features of sample workloads, the training data set comprising labels associated with the features of the sample workloads, where the labels are based on load indicators generated in a computing environment relating to load conditions of the computing environment resulting from execution of the sample workloads. The system groups selected workloads into a plurality of workload clusters based on features of the selected workloads, and computes, using a model trained based on the training data set, parameters representing contributions of respective workload clusters of the plurality of workload clusters to a load in the computing environment. The system performs workload management in the computing environment based on the computed parameters.
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公开(公告)号：US20160205189A1
公开(公告)日：2016-07-14
申请号：US14911719
申请日：2013-08-15
发明人： SATISH KUMAR MOPUR , Sumantha Kannantha , Shreyas Majithia , Akilesh Kailash , Aesha Dhar Roy , Satyaprakash Rao , Krishna Puttagunta , Chuan Peng , Prakash Hosahally Suryanarayana , Sudha Ramakrishnaiah , Ranganath Prabhu VV
CPC分类号： H04L67/1097 , G06F11/30 , G06F11/3034 , G06F11/3041 , G06F11/3051 , G06F11/3058 , G06F11/3089 , G06F11/3452 , G06F11/3485 , G06F15/16 , G06F16/00 , G06F16/9024 , G06F2201/81 , H04L43/16
摘要： The present subject matter relates to perform proactive monitoring and diagnostics in storage area networks (SANs). In one implementation, the method comprises depicting topology of the SAN in a graph, wherein the graph designates the devices as nodes, the connecting elements as edges, and depicts operations associated with at least one component of the nodes and edges. The method further comprises monitoring at least one parameter indicative of performance of the component to ascertain degradation of the at least one component and identifying, a hinge in the data associated with the monitoring, wherein the hinge is indicative of an initiation in degradation of the component. Based on the hinge, proactive diagnostics is preformed to compute a remaining lifetime of the at least one component. Thereafter, a notification is generated for an administrator of the SAN based on the remaining lifetime.
摘要翻译： 本主题涉及在存储区域网络（SAN）中执行主动监视和诊断。 在一个实现中，该方法包括描绘图中的SAN的拓扑，其中图表将设备指定为节点，连接元素作为边缘，并且描绘与节点和边缘的至少一个组件相关联的操作。 该方法还包括监测指示组件的性能的至少一个参数以确定至少一个组件的降解并且识别与监测相关联的数据中的铰链，其中所述铰链指示所述组件的降解起始 。 基于铰链，执行主动诊断以计算至少一个部件的剩余寿命。 此后，根据剩余生存时间为SAN的管理员生成通知。
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