DATA STORAGE RESOURCE ALLOCATION USING BLACKLISTING OF RESOURCE REQUEST POOLS SUCH AS CATEGORIES OF DATA STORAGE REQUESTS
    31.
    发明申请
    DATA STORAGE RESOURCE ALLOCATION USING BLACKLISTING OF RESOURCE REQUEST POOLS SUCH AS CATEGORIES OF DATA STORAGE REQUESTS 有权
    使用资源请求池进行数据存储资源分配的数据存储请求类别

    公开(公告)号:US20150324233A1

    公开(公告)日:2015-11-12

    申请号:US14804446

    申请日:2015-07-21

    Abstract: A resource allocation system begins with an ordered plan for matching requests to resources that is sorted by priority. The resource allocation system optimizes the plan by determining those requests in the plan that will fail if performed. The resource allocation system removes or defers the determined requests. In addition, when a request that is performed fails, the resource allocation system may remove requests that require similar resources from the plan. Moreover, when resources are released by a request, the resource allocation system may place the resources in a temporary holding area until the resource allocation returns to the top of the ordered plan so that lower priority requests that are lower in the plan do not take resources that are needed by waiting higher priority requests higher in the plan.

    Abstract translation: 资源分配系统开始于按照优先级排序的资源匹配请求的有序计划。 资源分配系统通过确定计划中的那些请求,如果执行失败,则优化计划。 资源分配系统删除或延迟确定的请求。 此外,当执行的请求失败时,资源分配系统可以从计划中移除需要类似资源的请求。 此外,当通过请求释放资源时,资源分配系统可以将资源放置在临时保持区域中,直到资源分配返回到排序计划的顶部,使得计划中较低优先级的请求不占用资源 在计划中等待更高优先级的请求是更高的需求。

    AUTOMATIC ALERT ESCALATION FOR AN INFORMATION MANAGEMENT SYSTEM
    32.
    发明申请
    AUTOMATIC ALERT ESCALATION FOR AN INFORMATION MANAGEMENT SYSTEM 有权
    自动提醒信息管理系统

    公开(公告)号:US20150242264A1

    公开(公告)日:2015-08-27

    申请号:US14274439

    申请日:2014-05-09

    Abstract: Disclosed herein are systems and methods for managing information management operations. The system may be configured to employ a work flow queue to reduce network traffic and manage server processing resources. The system may also be configured to forecast or estimate information management operations based on estimations of throughput between computing devices scheduled to execute one or more jobs. The system may also be configured to escalate or automatically reassign notification of system alerts based on the availability of system alert recipients. Various other embodiments are also disclosed herein.

    Abstract translation: 本文公开了用于管理信息管理操作的系统和方法。 该系统可以被配置为采用工作流队列来减少网络流量并管理服务器处理资源。 该系统还可以被配置为基于被计划执行一个或多个作业的计算设备之间的吞吐量的估计来预测或估计信息管理操作。 系统还可以被配置为基于系统警报接收者的可用性来升级或自动重新分配系统警报的通知。 本文还公开了各种其它实施例。

    Distributed and scalable client-based and microservices-based storage management

    公开(公告)号:US11636133B2

    公开(公告)日:2023-04-25

    申请号:US17113965

    申请日:2020-12-07

    Abstract: Embodiments are described for distributed and scalable client-based storage management and microservices-based storage management, which can operate in combination. Embodiments distribute responsibilities and client-specific information needed for storage management jobs away from a central storage manager and its management database. New features and components minimize communications to/from the storage manager and ensure the integrity and synchronization of data being distributed. The management database at the storage manager retains its role as repository of information for the data storage management system as a whole, yet without being a bottleneck to storage operations. Improvements are implemented within the storage manager, through new functionality added to clients, and further through a new micro-server component interposed between storage manager and clients.

    Distributed and scalable storage management using a storage-microservices server

    公开(公告)号:US10893103B2

    公开(公告)日:2021-01-12

    申请号:US16044968

    申请日:2018-07-25

    Abstract: Embodiments are described for distributed and scalable client-based storage management and microservices-based storage management, which can operate in combination. Embodiments distribute responsibilities and client-specific information needed for storage management jobs away from a central storage manager and its management database. New features and components minimize communications to/from the storage manager and ensure the integrity and synchronization of data being distributed. The management database at the storage manager retains its role as repository of information for the data storage management system as a whole, yet without being a bottleneck to storage operations. Improvements are implemented within the storage manager, through new functionality added to clients, and further through a new micro-server component interposed between storage manager and clients.

    Distributed and scalable client-based storage management

    公开(公告)号:US10891304B2

    公开(公告)日:2021-01-12

    申请号:US16044966

    申请日:2018-07-25

    Abstract: Embodiments are described for distributed and scalable client-based storage management and microservices-based storage management, which can operate in combination. Embodiments distribute responsibilities and client-specific information needed for storage management jobs away from a central storage manager and its management database. New features and components minimize communications to/from the storage manager and ensure the integrity and synchronization of data being distributed. The management database at the storage manager retains its role as repository of information for the data storage management system as a whole, yet without being a bottleneck to storage operations. Improvements are implemented within the storage manager, through new functionality added to clients, and further through a new micro-server component interposed between storage manager and clients.

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