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    • 61. 发明授权
    • Distributed object store for network-based content repository
    • 基于网络的内容存储库的分布式对象存储
    • US09507799B1
    • 2016-11-29
    • US12633725
    • 2009-12-08
    • Garth GoodsonShankar PasupathyKaladhar VorugantiRavi KavuriSudhir Srinivasan
    • Garth GoodsonShankar PasupathyKaladhar VorugantiRavi KavuriSudhir Srinivasan
    • G06F17/30
    • G06F17/30082G06F17/30091G06F17/301G06F17/302G06F17/30203
    • A distributed object store in a network storage system uses location-independent global object identifiers (IDs) for stored data objects. The global object ID enables a data object to be seamlessly moved from one location to another without affecting clients of the storage system, i.e., “transparent migration”. The global object ID can be part of a multilevel object handle, which also can include a location ID indicating the specific location at which the data object is stored, and a policy ID identifying a set of data management policies associated with the data object. The policy ID may be associated with the data object by a client of the storage system, for example when the client creates the object, thus allowing “inline” policy management. An object location subsystem (OLS) can be used to locate an object when a client request does not contain a valid location ID for the object.
    • 网络存储系统中的分布式对象存储使用与存储的数据对象的位置无关的全局对象标识符(ID)。 全局对象ID使数据对象无缝地从一个位置移动到另一个位置,而不会影响存储系统的客户端,即“透明迁移”。 全局对象ID可以是多级对象句柄的一部分,其还可以包括指示存储数据对象的特定位置的位置ID,以及标识与数据对象相关联的一组数据管理策略的策略ID。 策略ID可以由存储系统的客户端与数据对象相关联,例如当客户端创建对象时,从而允许“内联”策略管理。 当客户机请求不包含对象的有效位置ID时,可以使用对象位置子系统(OLS)来定位对象。
    • 62. 发明授权
    • Evaluating proposed storage solutions
    • 评估提出的存储解决方案
    • US09122739B1
    • 2015-09-01
    • US13016889
    • 2011-01-28
    • Neeraja YadwadkarSai Rama Krishna SusarlaKaladhar VorugantiRukma Ameet TalwadkerVipul Mathur
    • Neeraja YadwadkarSai Rama Krishna SusarlaKaladhar VorugantiRukma Ameet TalwadkerVipul Mathur
    • G06F17/30
    • G06F17/30587G06F17/30289G06F17/30294
    • Described herein is a system and method for dynamically managing service-level objectives (SLOs) for workloads of a cluster storage system. Proposed states/solutions of the cluster may be produced and evaluated to select one that achieves the SLOs for each workload. A planner engine may produce a state tree comprising nodes, each node representing a proposed state/solution. New nodes may be added to the state tree based on new solution types that are permitted, or nodes may be removed based on a received time constraint for executing a proposed solution or a client certification of a solution. The planner engine may call an evaluation engine to evaluate proposed states, the evaluation engine using an evaluation function that considers SLO, cost, and optimization goal characteristics to produce a single evaluation value for each proposed state. The planner engine may call a modeler engine that is trained using machine learning techniques.
    • 这里描述了用于动态管理用于集群存储系统的工作负载的服务级目标(SLO)的系统和方法。 可以生成和评估集群的建议状态/解决方案,以选择为每个工作负载实现SLO的状态/解决方案。 计划器引擎可以产生包括节点的状态树,每个节点表示提出的状态/解。 可以基于允许的新解决方案类型将新节点添加到状态树,或者可以基于接收到的时间约束来移除节点,以执行解决方案或解决方案的客户端认证。 计划器引擎可以调用评估引擎来评估提出的状态,评估引擎使用考虑SLO,成本和优化目标特征的评估函数,以产生每个建议状态的单个评估值。 计划器引擎可以调用使用机器学习技术训练的建模者引擎。