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    USING PERSISTENT MEMORY TO ENABLE RESTARTABILITY OF BULK LOAD TRANSACTIONS IN CLOUD DATABASES
    1.
    发明申请
    USING PERSISTENT MEMORY TO ENABLE RESTARTABILITY OF BULK LOAD TRANSACTIONS IN CLOUD DATABASES 审中-公开

    公开(公告)号：US20190147070A1

    公开(公告)日：2019-05-16

    申请号：US15811124

    申请日：2017-11-13

    Applicant: Cisco Technology, Inc.

    Inventor： Ralf Rantzau ,  Madhu S. Kumar ,  Johnu George ,  Amit Kumar Saha ,  Debojyoti Dutta

    IPC: G06F17/30 ,  G06F11/14

    Abstract: Systems, methods, and computer-readable media for managing storing of data in a data storage system using a client tag. In some examples, a first portion of a data load as part of a transaction and a client identifier that uniquely identifies a client is received from the client at a data storage system. The transaction can be tagged with a client tag including the client identifier and the first portion of the data load can be stored in storage at the data storage system. A first log entry including the client tag is added to a data storage log in response to storing the first portion of the data load in the storage. The first log entry is then written from the data storage log to a persistent storage log in persistent memory which is used to track progress of storing the data load in the storage.

    Tenant-level sharding of disks with tenant-specific storage modules to enable policies per tenant in a distributed storage system
    2.
    发明授权
    Tenant-level sharding of disks with tenant-specific storage modules to enable policies per tenant in a distributed storage system 有权

    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

    IPC: G06F3/06 ,  G06F17/30

    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.

    ACCESSING COMPOSITE DATA STRUCTURES IN TIERED STORAGE ACROSS NETWORK NODES
    3.
    发明申请
    ACCESSING COMPOSITE DATA STRUCTURES IN TIERED STORAGE ACROSS NETWORK NODES 审中-公开

    公开(公告)号：US20180343131A1

    公开(公告)日：2018-11-29

    申请号：US15907018

    申请日：2018-02-27

    Applicant: Cisco Technology, Inc.

    Inventor： Johnu George ,  Amit Kumar Saha ,  Arun Saha ,  Debojyoti Dutta

    IPC: H04L12/06 ,  G06F17/30 ,  G06F3/06

    Abstract: Aspects of the disclosed technology relate to ways to determine the optimal storage of data structures across different memory device is associated with physically disparate network nodes. In some aspects, a process of the technology can include steps for receiving a first retrieval request for a first object, searching a local PMEM device for the first object based on the first retrieval request, in response to a failure to find the first object on the local PMEM device, transmitting a second retrieval request to a remote node, wherein the second retrieval request is configured to cause the remote node to retrieve the first object from a remote PMEM device. Systems and machine-readable media are also provided.

    Optimizing serverless computing using a distributed computing framework
    4.
    发明授权
    Optimizing serverless computing using a distributed computing framework 有权

    公开(公告)号：US11016673B2

    公开(公告)日：2021-05-25

    申请号：US15931302

    申请日：2020-05-13

    Applicant: Cisco Technology, Inc.

    Inventor： Xinyuan Huang ,  Johnu George ,  Marc Solanas Tarre ,  Komei Shimamura ,  Purushotham Kamath ,  Debojyoti Dutta

    IPC: G06F3/06 ,  G06F9/48 ,  G06F16/25

    Abstract: Aspects of the technology provide improvements to a Serverless Computing (SLC) workflow by determining when and how to optimize SLC jobs for computing in a Distributed Computing Framework (DCF). DCF optimization can be performed by abstracting SLC tasks into different workflow configurations to determined optimal arrangements for execution in a DCF environment. A process of the technology can include steps for receiving an SLC job including one or more SLC tasks, executing one or more of the tasks to determine a latency metric and a throughput metric for the SLC tasks, and determining if the SLC tasks should be converted to a Distributed Computing Framework (DCF) format based on the latency metric and the throughput metric. Systems and machine-readable media are also provided.

    OPTIMIZING SERVERLESS COMPUTING USING A DISTRIBUTED COMPUTING FRAMEWORK
    5.
    发明申请
    OPTIMIZING SERVERLESS COMPUTING USING A DISTRIBUTED COMPUTING FRAMEWORK 审中-公开

    公开(公告)号：US20200272338A1

    公开(公告)日：2020-08-27

    申请号：US15931302

    申请日：2020-05-13

    Applicant: Cisco Technology, Inc.

    Inventor： Xinyuan Huang ,  Johnu George ,  Marc Solanas Tarre ,  Komei Shimamura ,  Purushotham Kamath ,  Debojyoti Dutta

    IPC: G06F3/06 ,  G06F9/48 ,  G06F16/25

    Abstract: Aspects of the technology provide improvements to a Serverless Computing (SLC) workflow by determining when and how to optimize SLC jobs for computing in a Distributed Computing Framework (DCF). DCF optimization can be performed by abstracting SLC tasks into different workflow configurations to determined optimal arrangements for execution in a DCF environment. A process of the technology can include steps for receiving an SLC job including one or more SLC tasks, executing one or more of the tasks to determine a latency metric and a throughput metric for the SLC tasks, and determining if the SLC tasks should be converted to a Distributed Computing Framework (DCF) format based on the latency metric and the throughput metric. Systems and machine-readable media are also provided.

    USING PERSISTENT MEMORY TO ENABLE CONSISTENT DATA FOR BATCH PROCESSING AND STREAMING PROCESSING
    8.
    发明申请
    USING PERSISTENT MEMORY TO ENABLE CONSISTENT DATA FOR BATCH PROCESSING AND STREAMING PROCESSING 审中-公开

    公开(公告)号：US20190197146A1

    公开(公告)日：2019-06-27

    申请号：US15850168

    申请日：2017-12-21

    Applicant: Cisco Technology, Inc.

    Inventor： Johnu George ,  Amit Kumar Saha ,  Debojyoti Dutta ,  Madhu S. Kumar ,  Ralf Rantzau

    IPC: G06F17/30 ,  G06F3/06 ,  G06F11/10

    Abstract: Systems, methods, and computer-readable media are provided for consistent data to be used for streaming and batch processing. The system includes one or more devices; a processor coupled to the one or more devices; and a non-volatile memory coupled to the processor and the one or more devices, wherein the non-volatile memory stores instructions that are configured to cause the processor to perform operations including receiving data from the one or more devices; validating the data to yield validated data; storing the validated data in a database on the non-volatile memory, the validated data being used for streaming processing and batch processing; and sending the validated data to a remote disk for batch processing.

    CORRECTLY IDENTIFYING POTENTIAL ANOMALIES IN A DISTRIBUTED STORAGE SYSTEM
    9.
    发明申请
    CORRECTLY IDENTIFYING POTENTIAL ANOMALIES IN A DISTRIBUTED STORAGE SYSTEM 有权
    在分布式存储系统中正确识别潜在异常

    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

    IPC: G06F11/07 ,  H04L29/08

    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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