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公开(公告)号：US10659387B2
公开(公告)日：2020-05-19
申请号：US16232775
申请日：2018-12-26
Applicant: Cisco Technology, Inc.
Inventor： Yathiraj B. Udupi , Xinyuan Huang , Aparupa Das Gupta , Marc Solanas Tarre , Rishabh Jain
IPC: H04L12/911 , H04L29/08
Abstract: The present disclosure describes a method for cloud resource placement optimization. A resources monitor monitors state information associated with cloud resources and physical hosts in the federated cloud having a plurality of clouds managed by a plurality of cloud providers. A rebalance trigger triggers a rebalancing request to initiate cloud resource placement optimization based on one or more conditions. A cloud resource placement optimizer determines an optimized placement of cloud resources on physical hosts across the plurality of clouds in the federated cloud based on (1) costs including migration costs, (2) the state information, and (3) constraints, wherein each physical host is identified in the constraints-driven optimization solver by an identifier of a respective cloud provider and an identifier of the physical host. A migrations enforcer determines an ordered migration plan and transmits requests to place or migrate cloud resources according to the ordered migration plan.
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公开(公告)号：US10412021B2
公开(公告)日：2019-09-10
申请号：US15682091
申请日：2017-08-21
Applicant: Cisco Technology, Inc.
Inventor： Yathiraj B. Udupi , Debojyoti Dutta , Madhav V. Marathe , Raghunath O. Nambiar
IPC: G06F15/173 , H04L12/911 , G06F9/50
Abstract: Systems and methods are described for allocating resources in a cloud computing environment. The method includes receiving a computing request, the request for use of at least one virtual machine and a portion of memory. In response to the request, a plurality of hosts is identified and a cost function is formulated using at least a portion of those hosts. Based on the cost function, at least one host that is capable of hosting the virtual machine and memory is selected.
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公开(公告)号：US10361935B2
公开(公告)日：2019-07-23
申请号：US15420248
申请日：2017-01-31
Applicant: Cisco Technology, Inc.
Inventor： Yathiraj B. Udupi , Aparupa Das Gupta , Rahul Ramakrishna
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.
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公开(公告)号：US20190149481A1
公开(公告)日：2019-05-16
申请号：US16232775
申请日：2018-12-26
Applicant: Cisco Technology, Inc.
Inventor： Yathiraj B. Udupi , Xinyuan Huang , Aparupa Das Gupta , Marc Solanas Tarre , Rishabh Jain
IPC: H04L12/911 , H04L29/08
Abstract: The present disclosure describes a method for cloud resource placement optimization. A resources monitor monitors state information associated with cloud resources and physical hosts in the federated cloud having a plurality of clouds managed by a plurality of cloud providers. A rebalance trigger triggers a rebalancing request to initiate cloud resource placement optimization based on one or more conditions. A cloud resource placement optimizer determines an optimized placement of cloud resources on physical hosts across the plurality of clouds in the federated cloud based on (1) costs including migration costs, (2) the state information, and (3) constraints, wherein each physical host is identified in the constraints-driven optimization solver by an identifier of a respective cloud provider and an identifier of the physical host. A migrations enforcer determines an ordered migration plan and transmits requests to place or migrate cloud resources according to the ordered migration plan.
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公开(公告)号：US20170346759A1
公开(公告)日：2017-11-30
申请号：US15682091
申请日：2017-08-21
Applicant: Cisco Technology, Inc.
Inventor： Yathiraj B. Udupi , Debojyoti Dutta , Madhav V. Marathe , Raghunath O. Nambiar
IPC: H04L12/911 , G06F9/50
Abstract: Systems and methods are described for allocating resources in a cloud computing environment. The method includes receiving a computing request, the request for use of at least one virtual machine and a portion of memory. In response to the request, a plurality of hosts is identified and a cost function is formulated using at least a portion of those hosts. Based on the cost function, at least one host that is capable of hosting the virtual machine and memory is selected.
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Patent Agency Ranking
公开(公告)号：US09560119B2
公开(公告)日：2017-01-31
申请号：US14581783
申请日：2014-12-23
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Yathiraj B. Udupi , Debojyoti Dutta
CPC classification number: H04L67/10 , G06F9/46 , G06Q10/10 , G06Q10/107 , H04L29/06 , H04L41/00 , H04L41/0893 , H04L41/5048 , H04L65/605 , H04L69/327 , H04L69/329
Abstract: In one embodiment, a scale out policy service for processing a stream of messages includes a distributed stream processing computation system comprising distributed stream processing nodes, a distributed storage system, and a rules engine. A stream processing engine of the distributed stream processing computation system can receive the stream of messages comprising requests and/or events, and assign a first message to be processed by one or more distributed stream processing nodes based on one or more properties of the message. The one or more distributed stream processing nodes can be communicably connected to the distributed storage system and/or the rules engine to provide (1) an answer in response to the first message and/or (2) cause an action to be executed based on the first message.
Abstract translation: 在一个实施例中，用于处理消息流的扩展策略服务包括分布式流处理计算系统，包括分布式流处理节点，分布式存储系统和规则引擎。 分布式流处理计算系统的流处理引擎可以接收包括请求和/或事件的消息流，并且基于消息的一个或多个属性来分配要由一个或多个分布式流处理节点处理的第一消息。 一个或多个分布式流处理节点可以可通信地连接到分布式存储系统和/或规则引擎，以提供（1）响应于第一消息的答案和/或（2）使得基于 第一条消息。
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27.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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28.发明申请INTERACTIVE MECHANISM TO VIEW LOGS AND METRICS UPON AN ANOMALY IN A DISTRIBUTED STORAGE SYSTEM 审中-公开交互机制查看分布式存储系统中的异常记录和度量公开(公告)号：US20170010930A1
公开(公告)日：2017-01-12
申请号：US14794650
申请日：2015-07-08
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Debojyoti Dutta , Manoj Sharma , Yathiraj B. Udupi , Alexander Jonas-Holden , Aparupa Das Gupta , Amit Agarwal , Seth Mason
IPC: G06F11/07
CPC classification number: G06F11/079 , G06F11/0709 , G06F11/0727 , G06F11/0751 , G06F11/0772
Abstract: A method for assisting evaluation of anomalies in a distributed storage system is disclosed. The method includes monitoring at least one system metric of the system and creating a mapping between values and/or patterns of the system metric and one or more services configured to generate logs for the system. The method further includes detecting a potential anomaly in the system based on the monitoring, the potential anomaly being associated with a value and/or a pattern of the monitored system metric. The method also includes using the mapping to identify one or more logs associated with the potential anomaly, displaying a graphical representation of at least a part of monitoring the system metric, the graphical representation indicating the potential anomaly, and providing an overlay over the graphical representation, the overlay comprising an indicator of a number of the logs associated with 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。 该方法包括监视系统的至少一个系统度量并且创建系统度量的值和/或模式之间的映射以及被配置为生成用于系统的日志的一个或多个服务。 该方法还包括基于监视来检测系统中的潜在异常，所述潜在异常与监视的系统度量的值和/或模式相关联。 该方法还包括使用映射来识别与潜在异常相关联的一个或多个日志，显示监视系统度量的至少一部分的图形表示，指示潜在异常的图形表示，以及在图形表示上提供覆盖 ，所述覆盖层包括与所述潜在异常相关联的多个日志的指示符。
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公开(公告)号：US20160182614A1
公开(公告)日：2016-06-23
申请号：US14581783
申请日：2014-12-23
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Yathiraj B. Udupi , Debojyoti Dutta
CPC classification number: H04L67/10 , G06F9/46 , G06Q10/10 , G06Q10/107 , H04L29/06 , H04L41/00 , H04L41/0893 , H04L41/5048 , H04L65/605 , H04L69/327 , H04L69/329
Abstract: In one embodiment, a scale out policy service for processing a stream of messages includes a distributed stream processing computation system comprising distributed stream processing nodes, a distributed storage system, and a rules engine. A stream processing engine of the distributed stream processing computation system can receive the stream of messages comprising requests and/or events, and assign a first message to be processed by one or more distributed stream processing nodes based on one or more properties of the message. The one or more distributed stream processing nodes can be communicably connected to the distributed storage system and/or the rules engine to provide (1) an answer in response to the first message and/or (2) cause an action to be executed based on the first message.
Abstract translation: 在一个实施例中，用于处理消息流的扩展策略服务包括分布式流处理计算系统，包括分布式流处理节点，分布式存储系统和规则引擎。 分布式流处理计算系统的流处理引擎可以接收包括请求和/或事件的消息流，并且基于消息的一个或多个属性来分配要由一个或多个分布式流处理节点处理的第一消息。 一个或多个分布式流处理节点可以可通信地连接到分布式存储系统和/或规则引擎，以提供（1）响应于第一消息的答案和/或（2）使得基于 第一条消息。
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30.发明授权公开(公告)号：US09367344B2
公开(公告)日：2016-06-14
申请号：US14509691
申请日：2014-10-08
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Yathiraj B. Udupi , Debojyoti Dutta , Madhav V. Marathe , Raghunath O. Nambiar
IPC: G06F9/455
CPC classification number: G06F9/45558 , G06F9/5066 , G06F2009/45562 , H04L47/78
Abstract: The present disclosure relates to assignment or generation of reducer virtual machines after the “map” phase is substantially complete in MapReduce. Instead of a priori placement, distribution of keys after the “map” phase over the mapper virtual machines can be used to efficiently reducer tasks in virtualized cloud infrastructure like OpenStack. By solving a constraint optimization problem, reducer VMs can be optimally assigned to process keys subject to certain constraints. In particular, the present disclosure describes a special variable matrix. Furthermore, the present disclosure describes several possible cost matrices for representing the costs determined based on the key distribution over the mapper VMs (and other suitable factors).
Abstract translation: 本公开涉及在MapReduce中的“映射”阶段基本完成之后分配或生成reducer虚拟机。 在映射器虚拟机上的“映射”阶段之后，可以使用OpenStack虚拟化云基础设施中的有效减少任务来代替先验位置分配密钥。 通过解决约束优化问题，可以将reducer VM最优化地分配给具有某些限制的处理密钥。 具体地，本公开描述了特殊变量矩阵。 此外，本公开描述了用于表示基于映射器VM上的密钥分布（和其他合适因素）确定的成本的几种可能的成本矩阵。
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