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    • 2. 发明授权
    • Dynamically relocating workloads in a networked computing environment
    • 在网络化计算环境中动态重定位工作负载
    • US09229777B2
    • 2016-01-05
    • US13204910
    • 2011-08-08
    • Gregory J. BossChristopher J. DawsonRick A. Hamilton, IIBrian M. O'Connell
    • Gregory J. BossChristopher J. DawsonRick A. Hamilton, IIBrian M. O'Connell
    • G06F15/173G06F9/50
    • G06F9/5044G06F9/505
    • Embodiments of the present invention provide an approach for dynamically relocating a set of workloads among geographic regions of a networked computing environment (e.g., a cloud computing environment) based on infrastructure/computing resource needs. In a typical embodiment, it is determined whether a first geographic region of the networked computing environment has a first set of computing resources with an available capacity that meets a needed capacity for handling a set of workloads that is initially associated with the first geographic region. If not, a second geographic region of the networked computing environment having a second set of computing resources with the needed capacity is identified. In general, this determination can be made based upon multiple factors such as: a set of performance requirements, stored in at least one computer data structure, needed to handle the set of workloads; a set of environmental parameters, stored in the at least one computer data structure, having a potential to affect the handling of the set of workloads; and/or a set of cost parameters, stored in the at least one computer data structure, associated with handling the set of workloads. Once the second geographic region has been identified, the set of workloads can be associated with and handled thereby.
    • 本发明的实施例提供了一种用于基于基础设施/计算资源需求在网络计算环境(例如,云计算环境)的地理区域之间动态地重定位一组工作负载的方法。 在典型的实施例中,确定联网的计算环境的第一地理区域是否具有满足用于处理最初与第一地理区域相关联的一组工作负载的所需能力的可用容量的第一组计算资源。 如果不是,则识别具有所需容量的具有第二组计算资源的联网计算环境的第二地理区域。 一般而言,这种确定可以基于多个因素进行,例如:存储在处理该组工作负载所需的至少一个计算机数据结构中的一组性能要求; 存储在所述至少一个计算机数据结构中的一组环境参数,具有影响所述一组工作负载的处理的潜力; 和/或存储在所述至少一个计算机数据结构中的一组成本参数,其与处理所述工作负载集相关联。 一旦确定了第二个地理区域,就可以将这组工作负载与之相关联并进行处理。
    • 5. 发明授权
    • Migrating data between networked computing environments
    • 在联网计算环境之间迁移数据
    • US08909734B2
    • 2014-12-09
    • US13367412
    • 2012-02-07
    • Gregory J. BossChristopher J. DawsonRick A. Hamilton, IIBrian M. O'Connell
    • Gregory J. BossChristopher J. DawsonRick A. Hamilton, IIBrian M. O'Connell
    • G06F15/16
    • G06F3/0604G06F3/061G06F3/0649G06F3/067
    • Embodiments of the present invention provide an approach for predictively migrating data between network computing environments (e.g., cloud computing environments). Specifically, in a typical embodiment, data access patterns for sets of data utilized by a set of services running in a first networked computing environment may be analyzed. Based on the analysis one or more of the sets of data may be identified as candidates to be migrated from the first networked computing environment to a second networked computing environment. Then, a data migration protocol for the one or more sets of data to be migrated to the second networked computing environment may be generated based on the data access patterns and a predicted data migration time. Based on the data migration protocol, the one or more sets of data may then be migrated to the second networked computing environment.
    • 本发明的实施例提供了一种用于在网络计算环境(例如,云计算环境)之间预测性迁移数据的方法。 具体地,在典型的实施例中,可以分析由在第一联网计算环境中运行的一组服务使用的数据集的数据访问模式。 基于分析,一组或多组数据可以被识别为要从第一联网计算环境迁移到第二联网计算环境的候选。 然后,可以基于数据访问模式和预测的数据迁移时间来生成要迁移到第二联网计算环境的一组或多组数据的数据迁移协议。 基于数据迁移协议,可以将一组或多组数据迁移到第二联网计算环境。
    • 8. 发明授权
    • Optimizing the configuration of virtual machine instances in a networked computing environment
    • 优化联网计算环境中虚拟机实例的配置
    • US08769531B2
    • 2014-07-01
    • US13115399
    • 2011-05-25
    • Jason L. AndersonGregory J. BossTimpthy R. EchtenkampShaun T. Murakami
    • Jason L. AndersonGregory J. BossTimpthy R. EchtenkampShaun T. Murakami
    • G06F9/455
    • G06F9/45533G06F9/5077G06F9/5088
    • Embodiments of the present invention provide an approach for optimizing a configuration of virtual machine (VM) instances. In a typical embodiment, such optimization comprises either the splitting of a single VM instance into multiple VM instances or the consolidation of multiple VM instances into fewer (e.g., a single) VM instance. Along these lines, it will first be determined which VM instances would be good candidates for reconfiguration. Under one approach, VM instances that are candidates for reconfiguration are identified based upon an analysis of applicable/associated service level agreement (SLA) terms versus the performance of the VM instances. For example, VM instances can be reconfigured if such reconfiguration will maximize a benefit provided by the applicable SLA terms (e.g., if the splitting of a single VM instance into multiple VM instances would cause a workload to be processed more efficiently, resulting in a more favorable cost/benefit ratio). In another embodiment, candidate VM instances can be identified based upon a commonality of an entity (e.g., a consumer) associated therewith. For example, if a single entity is utilizing multiple VM instances, such VM instances could be considered candidates for consolidation to avoid unnecessary computing resource consumption.
    • 本发明的实施例提供了一种用于优化虚拟机(VM)实例的配置的方法。 在典型的实施例中,这样的优化包括将单个VM实例划分成多个VM实例或将多个VM实例合并为更少(例如,单个)VM实例。 按照这些方法,首先将确定哪些VM实例将是重新配置的良好候选。 在一种方法下,基于对适用/相关联的服务级别协议(SLA)术语与VM实例的性能的分析来识别作为重新配置候选的VM实例。 例如,如果这种重新配置将最大化由适用的SLA术语提供的好处(例如,如果将单个VM实例拆分为多个VM实例将导致更有效地处理工作负载,则可以重新配置VM实例),从而导致更多 有利的成本/效益比)。 在另一个实施例中,可以基于与其相关联的实体(例如,消费者)的共性来识别候选VM实例。 例如,如果单个实体正在使用多个VM实例,则这样的VM实例可以被认为是合并的候选者,以避免不必要的计算资源消耗。