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    • 3. 发明授权
    • Metering cloud resource consumption using multiple hierarchical subscription periods
    • 使用多个分层订阅期计算云资源消耗
    • US08959221B2
    • 2015-02-17
    • US13037360
    • 2011-03-01
    • Christopher Edwin Morgan
    • Christopher Edwin Morgan
    • G06F15/173G06Q30/04G06F9/50G06Q30/06
    • G06Q30/04G06F9/5072G06Q30/06
    • Embodiments relate to systems and methods for metering cloud resource consumption using multiple hierarchical subscription periods. A set of aggregate usage history data can record consumption of processor, software, or other resources subscribed to by a set of users, in one cloud or across multiple clouds. An entitlement engine can analyze the usage history data to identify a subscription margin for the subscribed resources, reflecting collective under-consumption of resources by the set of users on a collective basis, over different and/or dynamically updated subscription periods. In aspects, the entitlement engine or other logic can generate multiple hierarchical time periods or layers over which resource consumption can be tracked. For instance, processor usage can be tracked over blocks of two hours or other intervals, but can also be tracked over 24 hour intervals for which additional subscription costs, terms, or factors may apply. In aspects, the consumption of not just one but multiple resources can be tracked over the hierarchical time periods, with cost adjustments being keyed to joint consumption levels of those resources, and/or over different time periods or layers.
    • 实施例涉及使用多个分层订阅周期来计量云资源消耗的系统和方法。 一组聚合使用历史数据可以记录一个云或多个云中的一组用户订阅的处理器,软件或其他资源的消耗。 授权引擎可以分析使用历史数据以识别订阅的资源的订阅保证金,通过不同的和/或动态更新的订阅周期反映该集合的用户集合的资源消耗不足。 在方面中,授权引擎或其他逻辑可以生成可以跟踪资源消耗的多个分层时间段或层。 例如,处理器使用可以跟踪两个小时或其他间隔的块,但也可以跟踪超过24小时的间隔,可能需要额外的订阅费用,条款或因素。 在这些方面,可以在分层时间段内跟踪消耗不仅仅一个但多个资源的消费,成本调整被关联到这些资源的联合消费水平和/或不同的时间段或层次上。
    • 4. 发明授权
    • Systems and methods for cloud deployment engine for selective workload migration or federation based on workload conditions
    • 基于工作负载条件的用于选择性工作负载迁移或联合的云部署引擎的系统和方法
    • US08631099B2
    • 2014-01-14
    • US13117937
    • 2011-05-27
    • Christopher Edwin Morgan
    • Christopher Edwin Morgan
    • G06F15/16G06F9/46
    • G06F9/5088
    • Embodiments relate to systems and methods for a cloud deployment engine for selective workload migration or federation based on workload conditions. A set of aggregate usage history data can record consumption of processor, software, or other resources subscribed to by one or more users in a or clouds. An entitlement engine can analyze the usage history data to identify a subscription margin and other trends or data reflecting short-term consumption trends. An associated deployment engine can analyze the short-term consumption trends, and generate a decision to either deploy any over-subscribed resources to a set of federated backup clouds, or to one or more new host clouds. In aspects, the decision to augment the capacity of the host cloud with either a cloud federation or a complete host cloud replacement can be based on a set of selection criteria, including the margin by which the resources are over-subscribed and/or whether the over-subscription is static, increasing or accelerating, among others.
    • 实施例涉及用于基于工作负载条件进行选择性工作负载迁移或联合的云部署引擎的系统和方法。 一组聚合使用历史数据可以记录云中一个或多个用户订阅的处理器,软件或其他资源的消耗。 授权引擎可以分析使用历史数据,以识别订阅保证金和反映短期消费趋势的其他趋势或数据。 相关部署引擎可以分析短期消费趋势,并生成将任何超订阅资源部署到一组联合备份云或一个或多个新主机云的决策。 在一些方面,使用云联合或完整的主机云替换来增加主机云的容量的决定可以基于一组选择标准,包括资源超额订阅的边际和/或是否 过度订阅是静态的,增加的或加速的等等。
    • 5. 发明授权
    • Generating configurable subscription parameters
    • 生成可配置订阅参数
    • US09442771B2
    • 2016-09-13
    • US12954378
    • 2010-11-24
    • Christopher Edwin Morgan
    • Christopher Edwin Morgan
    • G06F15/173G06F9/50G06Q10/06G06F3/06
    • G06F9/5072G06F3/0647G06Q10/06
    • Implementations relate to accessing a set of usage history data associated with a user account operating a workload on a set of virtual machines in a default deployment, generating, by a hardware processor, a predictive workload associated with the user account in view of the set of usage history data associated with the user account, responsive to generating the predictive workload, identifying a set of available resources in a set of host clouds of virtual machines provided by a cloud provider over the first period of time, accessing a set of deployment criteria received from the cloud provider, and generating a set of subscription parameters in view of the predictive workload, the set of available resources, and the set of deployment criteria to migrate the predictive workload to the set of host clouds of virtual machines.
    • 实现涉及访问与在默认部署中操作一组虚拟机上的工作负载的用户帐户相关联的一组使用历史数据,由硬件处理器根据所述一组 与所述用户帐户相关联的使用历史数据,响应于生成所述预测工作负载,识别由所述云提供商在所述第一时间段内提供的虚拟机的一组主机云中的一组可用资源,以访问所接收的一组部署准则 以及从预测工作负载,可用资源集合以及用于将预测工作负载迁移到虚拟机的主机云集合的部署准则集合来生成一组订阅参数。
    • 6. 发明授权
    • Generating optimized resource consumption periods for multiple users on combined basis
    • 组合为多个用户生成优化的资源消耗周期
    • US08832219B2
    • 2014-09-09
    • US13037359
    • 2011-03-01
    • Christopher Edwin Morgan
    • Christopher Edwin Morgan
    • G06F15/167H04L29/08H04L12/14H04L12/24
    • H04L67/22H04L12/1453H04L41/0896H04L67/10
    • A method and system for managing cloud consumption including accessing a set of aggregate usage history data for a set of users each operating a set of machines consuming a set of resources in a host cloud, generating a set of variable consumption periods over which the consumption of the set of resources will be tracked for the set of users on a combined basis, identifying a set of subscription margins for a resource in the set of resources based on a comparison of the consumption of the resource to a resource subscription limit for the set of users on a combined basis over the set of variable consumption periods, generating a set of marginal consumption values for the set of users for a resource for the set of variable consumption periods in the host cloud, and generating a management action based on the marginal consumption value.
    • 一种用于管理云消耗的方法和系统,包括为一组用户访问一组聚合使用历史数据,每组用户操作一组消耗主机云中的一组资源的机器,产生一组可变消耗时段, 将基于组合的一组用户跟踪资源集合,基于资源消耗与该组资源的资源预订限制的比较来识别资源集中的资源的一组订阅余量 用户组合在一组可变消费周期上,为主机云中的可变消耗时段集合的资源集合生成一组边际消费值,并且基于边际消费产生管理动作 值。
    • 7. 发明申请
    • SYSTEMS AND METHODS FOR TRIGGERING WORKLOAD MOVEMENT BASED ON POLICY STACK HAVING MULTIPLE SELECTABLE INPUTS
    • 基于具有多个可选择输入的策略堆栈触发工作移动的系统和方法
    • US20120311154A1
    • 2012-12-06
    • US13149418
    • 2011-05-31
    • Christopher Edwin Morgan
    • Christopher Edwin Morgan
    • G06F15/16
    • H04L67/1002G06F9/4856G06F9/5072H04L12/6418
    • Embodiments relate to systems and methods for triggering workload movement based on a policy stack having multiple selectable inputs. A set of aggregate usage history data can record consumption of processor, software, or other resources subscribed to by one or more users in a or clouds. An entitlement engine can analyze the usage history data to identify a subscription margin and other trends or data reflecting short-term consumption trends. An associated policy management tool can receive, build, and update a migration policy stack containing a set of configurable policies that can be applied to the conditions of the workload to determine whether, when, and where to migrate the workload or portions thereof to a new cloud host or hosts. In aspects, the policy stack can include user-selectable policy parameters, such as resource consumption thresholds and/or subscription time periods, which can dynamically vary and/or which can be expressed as functions of other policies or resource-consumption variables. In aspects, the policy stack can have different depths and different individual policies at different times and/or under different operating conditions.
    • 实施例涉及用于基于具有多个可选输入的策略堆栈触发工作负荷移动的系统和方法。 一组聚合使用历史数据可以记录一个或多个用户在一个或多个云中订阅的处理器,软件或其他资源的消耗。 授权引擎可以分析使用历史数据,以识别订阅保证金和反映短期消费趋势的其他趋势或数据。 相关联的策略管理工具可以接收,构建和更新包含一组可配置策略的迁移策略堆栈,这些可配置策略可以应用于工作负载的条件,以确定是否,何时以及在哪里将工作负载或其部分迁移到新的 云主机或主机。 在方面中,策略堆栈可以包括用户可选择的策略参数,例如资源消耗阈值和/或订阅时间段,其可以动态地变化和/或可以被表达为其他策略或资源消耗变量的函数。 在各个方面,策略堆栈可以在不同的时间和/或在不同的操作条件下具有不同的深度和不同的个别策略。
    • 8. 发明申请
    • SYSTEMS AND METHODS FOR CLOUD DEPLOYMENT ENGINE FOR SELECTIVE WORKLOAD MIGRATION OR FEDERATION BASED ON WORKLOAD CONDITIONS
    • 基于工作负荷条件的选择性工作移动或联合的云配置发动机的系统和方法
    • US20120304191A1
    • 2012-11-29
    • US13117937
    • 2011-05-27
    • Christopher Edwin Morgan
    • Christopher Edwin Morgan
    • G06F9/46
    • G06F9/5088
    • Embodiments relate to systems and methods for a cloud deployment engine for selective workload migration or federation based on workload conditions. A set of aggregate usage history data can record consumption of processor, software, or other resources subscribed to by one or more users in a or clouds. An entitlement engine can analyze the usage history data to identify a subscription margin and other trends or data reflecting short-term consumption trends. An associated deployment engine can analyze the short-term consumption trends, and generate a decision to either deploy any over-subscribed resources to a set of federated backup clouds, or to one or more new host clouds. In aspects, the decision to augment the capacity of the host cloud with either a cloud federation or a complete host cloud replacement can be based on a set of selection criteria, including the margin by which the resources are over-subscribed and/or whether the over-subscription is static, increasing or accelerating, among others.
    • 实施例涉及用于基于工作负载条件进行选择性工作负载迁移或联合的云部署引擎的系统和方法。 一组聚合使用历史数据可以记录一个或多个用户在一个或多个云中订阅的处理器,软件或其他资源的消耗。 授权引擎可以分析使用历史数据,以识别订阅保证金和反映短期消费趋势的其他趋势或数据。 相关部署引擎可以分析短期消费趋势,并生成将任何超订阅资源部署到一组联合备份云或一个或多个新主机云的决策。 在一些方面,使用云联合或完整的主机云替换来增加主机云的容量的决定可以基于一组选择标准,包括资源超额订阅的边际和/或是否 过度订阅是静态的,增加的或加速的等等。