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    • 4. 发明授权
    • Managing service demand load relative to infrastructure capacity in a networked computing environment
    • 在网络计算环境中管理相对于基础架构容量的服务需求负载
    • US09256900B2
    • 2016-02-09
    • US12946324
    • 2010-11-15
    • Gene L. BrownMichael D. BrookbanksBrendan F. CoffeyChristopher J. Dawson
    • Gene L. BrownMichael D. BrookbanksBrendan F. CoffeyChristopher J. Dawson
    • G06Q10/00G06F17/00G06Q30/06G06Q30/00
    • G06Q30/0601G06Q30/01
    • Embodiments of the present invention provide an approach for implementing service level agreements (SLAs) having variable service delivery requirements and pricing in a networked (e.g. cloud) computing environment. Under embodiments of the present invention, a plurality of SLAs, each having a different price level, is made available to a consumer. The consumer may select one or more of the plurality of SLAs that reflects the consumer's service delivery requirements in a cloud computing environment. A consumer having relatively inflexible service delivery requirements may select one of the SLAs having a relatively higher price, whereas a consumer having relatively flexible service delivery requirements may select one of the SLAs having a relatively lower price. In one embodiment, the SLAs may dynamically provide for relatively lower variable pricing in response to the consumer receiving deferred or a relatively lower level of service during a peak service demand load. In another embodiment, the SLAs may dynamically provide for relatively higher variable pricing in response to consumer service requests that are fulfilled during a relatively higher overall service demand load. In yet another embodiment, the SLAs may dynamically provide for relatively lower variable pricing in response to consumer service requests that occur during a relatively lower overall service demand load.
    • 本发明的实施例提供了一种在网络化(例如,云)计算环境中实现具有可变服务递送要求和定价的服务水平协议(SLA)的方法。 在本发明的实施例中,每个具有不同价格水平的多个SLA可用于消费者。 消费者可以在云计算环境中选择反映消费者的服务交付要求的多个SLA中的一个或多个。 具有相对不灵活的服务递送要求的消费者可以选择具有相对较高价格的SLA中的一个,而具有相对灵活的服务递送要求的消费者可以选择具有相对较低价格的SLA中的一个。 在一个实施例中,SLA可以响应于消费者在峰值服务需求负载期间接收延迟的或相对较低的服务水平来动态地提供相对较低的可变定价。 在另一个实施例中,SLA可以响应于在相对更高的整体服务需求负载期间实现的消费者服务请求而动态地提供相对较高的可变定价。 在另一个实施例中,SLA可以响应于在相对较低的总体服务需求负载期间发生的消费者服务请求而动态地提供相对较低的可变定价。
    • 5. 发明申请
    • MANAGING SERVICE DEMAND LOAD RELATIVE TO INFRASTRUCTURE CAPACITY IN A NETWORKED COMPUTING ENVIRONMENT
    • 在网络计算环境中管理与基础设施能力相关的服务需求负荷
    • US20120123886A1
    • 2012-05-17
    • US12946324
    • 2010-11-15
    • Gene L. BrownMichael D. BrookbanksBrendan F. CoffeyChristopher J. Dawson
    • Gene L. BrownMichael D. BrookbanksBrendan F. CoffeyChristopher J. Dawson
    • G06Q30/00
    • G06Q30/0601G06Q30/01
    • Embodiments of the present invention provide an approach for implementing service level agreements (SLAs) having variable service delivery requirements and pricing in a networked (e.g. cloud) computing environment. Under embodiments of the present invention, a plurality of SLAs, each having a different price level, is made available to a consumer. The consumer may select one or more of the plurality of SLAs that reflects the consumer's service delivery requirements in a cloud computing environment. A consumer having relatively inflexible service delivery requirements may select one of the SLAs having a relatively higher price, whereas a consumer having relatively flexible service delivery requirements may select one of the SLAs having a relatively lower price. In one embodiment, the SLAs may dynamically provide for relatively lower variable pricing in response to the consumer receiving deferred or a relatively lower level of service during a peak service demand load. In another embodiment, the SLAs may dynamically provide for relatively higher variable pricing in response to consumer service requests that are fulfilled during a relatively higher overall service demand load. In yet another embodiment, the SLAs may dynamically provide for relatively lower variable pricing in response to consumer service requests that occur during a relatively lower overall service demand load.
    • 本发明的实施例提供了一种在网络化(例如,云)计算环境中实现具有可变服务递送要求和定价的服务水平协议(SLA)的方法。 在本发明的实施例中,每个具有不同价格水平的多个SLA可用于消费者。 消费者可以在云计算环境中选择反映消费者的服务交付要求的多个SLA中的一个或多个。 具有相对不灵活的服务递送要求的消费者可以选择具有相对较高价格的SLA中的一个,而具有相对灵活的服务递送要求的消费者可以选择具有相对较低价格的SLA中的一个。 在一个实施例中,SLA可以响应于消费者在峰值服务需求负载期间接收延迟的或相对较低的服务水平来动态地提供相对较低的可变定价。 在另一个实施例中,SLA可以响应于在相对更高的整体服务需求负载期间实现的消费者服务请求而动态地提供相对较高的可变定价。 在另一个实施例中,SLA可以响应于在相对较低的总体服务需求负载期间发生的消费者服务请求而动态地提供相对较低的可变定价。
    • 6. 发明授权
    • Dynamically resizing a networked computing environment to process a workload
    • 动态调整联网计算环境以处理工作负载
    • US08924561B2
    • 2014-12-30
    • US13106904
    • 2011-05-13
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. Harris
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. Harris
    • G06F15/16G06F9/50
    • G06F9/5072
    • Embodiments of the present invention provide an approach for a networked computing environment (e.g., a cloud computing environment) to be dynamic in nature in that it may automatically be resized based on current/predicted workload and current/predicted resource availability. For example, when a workload is received, a data structure (e.g., a mapping) will be created on a computer storage device and populated with data related to a set of current resources of the networked computing environment that are allocated to the workload. It will then be determined whether a mismatch (e.g., a shortfall) exists between the set of current resources and resources required for processing the workload. If so, a set of peripheral resources will be identified to rectify the mismatch. The networked computing environment will then be resized to accommodate the set of peripheral resources, and the workload will be processed using the resized networked computing environment.
    • 本发明的实施例提供了一种网络计算环境(例如,云计算环境)在本质上是动态的方法,因为其可以基于当前/预测的工作负载和当前/预测的资源可用性自动调整大小。 例如,当接收到工作负载时,将在计算机存储设备上创建数据结构(例如,映射),并填充与分配给工作负载的联网计算环境的一组当前资源相关的数据。 然后将确定在当前资源集合和处理工作负载所需的资源之间是否存在不匹配(例如,不足)。 如果是这样,一组外围资源将被识别以纠正不匹配。 然后,网络计算环境将被调整大小以适应一组外围资源,并且将使用调整大小的网络计算环境来处理工作负载。
    • 7. 发明授权
    • Forecasting capacity available for processing workloads in a networked computing environment
    • 可用于处理网络计算环境中工作负载的预测能力
    • US08806003B2
    • 2014-08-12
    • US13159516
    • 2011-06-14
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. HarrisLynn M. Koch
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. HarrisLynn M. Koch
    • G06F15/16G06F15/173
    • G06F9/5044G06F9/5072G06F9/5083G06F2209/5019G06F2209/503H04L41/00
    • Embodiments of the present invention provide an approach for forecasting a capacity available for processing a workload in a networked computing environment (e.g., a cloud computing environment). Specifically, aspects of the present invention provide service availability for cloud subscribers by forecasting the capacity available for running or scheduled applications in a networked computing environment. In one embodiment, capacity data may be collected and analyzed in real-time from a set of cloud service providers and/or peer cloud-based systems. In order to further increase forecast accuracy, historical data and forecast output may be post-processed. Data may be post-processed in a substantially continuous manner so as to assess the accuracy of previous forecasts. By factoring in actual capacity data collected after a forecast, and taking into account applications requirements as well as other factors, substantially continuous calibration of the algorithm can occur so as to improve the accuracy of future forecasts and enable functioning in a self-learning (e.g., heuristic) mode.
    • 本发明的实施例提供了一种用于预测可用于处理联网计算环境(例如,云计算环境)中的工作负载的容量的方法。 具体地,本发明的方面通过预测可用于在网络计算环境中运行或调度的应用的容量来为云用户提供服务可用性。 在一个实施例中,可以从一组云服务提供商和/或基于对等云的系统实时收集和分析容量数据。 为了进一步提高预测精度,历史数据和预测输出可能会被后处理。 数据可以以基本上连续的方式进行后处理,以便评估先前预测的准确性。 通过考虑预测后收集的实际容量数据,并考虑到应用需求以及其他因素,可以进行基本上连续的算法校准,以提高未来预测的准确性,并使其能够在自学习(例如, ,启发式)模式。
    • 8. 发明申请
    • DYNAMICALLY RESIZING A NETWORKED COMPUTING ENVIRONMENT TO PROCESS A WORKLOAD
    • 动态地调整网络计算环境来处理工作量
    • US20120290726A1
    • 2012-11-15
    • US13106904
    • 2011-05-13
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. Harris
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. Harris
    • G06F15/16
    • G06F9/5072
    • Embodiments of the present invention provide an approach for a networked computing environment (e.g., a cloud computing environment) to be dynamic in nature in that it may automatically be resized based on current/predicted workload and current/predicted resource availability. For example, when a workload is received, a data structure (e.g., a mapping) will be created on a computer storage device and populated with data related to a set of current resources of the networked computing environment that are allocated to the workload. It will then be determined whether a mismatch (e.g., a shortfall) exists between the set of current resources and resources required for processing the workload. If so, a set of peripheral resources will be identified to rectify the mismatch. The networked computing environment will then be resized to accommodate the set of peripheral resources, and the workload will be processed using the resized networked computing environment.
    • 本发明的实施例提供了一种网络计算环境(例如,云计算环境)在本质上是动态的方法,因为其可以基于当前/预测的工作负载和当前/预测的资源可用性自动调整大小。 例如,当接收到工作负载时,将在计算机存储设备上创建数据结构(例如,映射),并填充与分配给工作负载的联网计算环境的一组当前资源相关的数据。 然后将确定在当前资源集合和处理工作负载所需的资源之间是否存在不匹配(例如,不足)。 如果是这样,一组外围资源将被识别以纠正不匹配。 然后,网络计算环境将被调整大小以适应一组外围资源,并且将使用调整大小的网络计算环境来处理工作负载。
    • 10. 发明授权
    • Optimizing energy consumption utilized for workload processing in a networked computing environment
    • 优化用于网络计算环境中工作负载处理的能耗
    • US08612785B2
    • 2013-12-17
    • US13106905
    • 2011-05-13
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. Harris
    • Gene L. BrownBrendan F. CoffeyChristopher J. DawsonClifford V. Harris
    • G06F1/32G06F9/46
    • H04L41/0833G06F1/329G06Q10/0631Y02D10/24
    • Embodiments of the present invention provide an approach for optimizing energy consumption utilized for workload processing in a networked computing environment (e.g., a cloud computing environment). Specifically, when a workload is received, an energy profile (e.g., contained in a computerized data structure) associated with the workload is identified. Typically, the energy profile identifies a set of computing resources needed to process the workload (e.g., storage requirements, server requirements, processing requirements, network bandwidth requirements, etc.), energy consumption attributes of the set of computing resources, and a proposed duration of the workload. Based on the information contained in the energy profile (and resource availability) a schedule (e.g., time, location, etc.) for processing the workload will be determined so as to optimize energy consumption associated with the processing of the workload. In a typical embodiment, the schedule will be determined such that a total cost for processing the workload can be minimized and/or to any budgeted amount/costs can be met.
    • 本发明的实施例提供了一种用于优化在网络计算环境(例如,云计算环境)中用于工作负载处理的能量消耗的方法。 具体地,当接收到工作负载时,识别与工作负载相关联的能量简档(例如,包含在计算机化的数据结构中)。 通常,能量简档识别处理工作负载所需的一组计算资源(例如,存储需求,服务器要求,处理要求,网络带宽要求等),该组计算资源的能量消耗属性以及建议的持续时间 的工作量。 基于能量简档中包含的信息(和资源可用性),将确定用于处理工作负载的时间表(例如,时间,位置等),以便优化与工作负载的处理相关联的能量消耗。 在典型的实施例中,将确定时间表,使得可以最小化处理工作量的总成本和/或可以满足任何预算的金额/成本。