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    • 2. 发明授权
    • Modeling task-site allocation networks
    • 建模任务站点分配网络
    • US08607188B2
    • 2013-12-10
    • US13225739
    • 2011-09-06
    • Wesley M. GiffordNanjangud C. NarendraKarthikeyan PonnalaguNianjun Zhou
    • Wesley M. GiffordNanjangud C. NarendraKarthikeyan PonnalaguNianjun Zhou
    • G06F9/44
    • G06F9/5027
    • A method, an apparatus and an article of manufacture for modeling a task-site allocation. The method includes generating a task-site allocation network based on at least one site-task pair and at least one site-centric constraint of at least two sites, wherein generating a task-site allocation network comprises generating a task-specific constraints model based on task context information and generating a task-site pair that satisfies at least one constraint based on the task-specific constraints model, and determining a preferred allocation of task to site by comparing estimated task-site allocation cost between a single site allocation and a distributed site allocation among the at least two sites.
    • 一种用于对任务现场分配建模的方法,装置和制品。 该方法包括基于至少一个站点任务对和至少两个站点的至少一个以站点为中心的约束生成任务站点分配网络,其中生成任务站点分配网络包括基于任务特定的约束模型生成 在任务上下文信息上生成满足基于任务特定约束模型的至少一个约束的任务站点对,并且通过将单个站点分配和单个站点分配之间的估计任务站点分配成本进行比较来确定任务到站点的优选分配 在至少两个站点之间分配站点分配。
    • 5. 发明授权
    • Differentiated service identification in a networked computing environment
    • 网络化计算环境中的差异化服务识别
    • US09213582B2
    • 2015-12-15
    • US13456519
    • 2012-04-26
    • Nanjangud C. NarendraKarthikeyan PonnalaguGandhi Sivakumar
    • Nanjangud C. NarendraKarthikeyan PonnalaguGandhi Sivakumar
    • G06F15/16G06F9/50H04L12/24
    • H04L67/16G06F9/5072H04L41/0206
    • Embodiments of the present invention provide an approach for differentiated service identification/exposure in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, input model criteria will be generated. Such criteria may (among other things): identify service categories based on contextual bindings and domain centric functions; identify inter-service dependencies for a given business model (BPM); and/or provide dynamic validation of services to be exposed/identified. Embodiments of the present invention may further analyze service exposure criteria to provide efficient and accurate service exposure decisions as well as validation of the service exposure. This approach allows for consistent service exposure determinations based on decision histories of similarly (2-dimensional) aligned services in the past. This approach further allows for a validation assessment that is based on actual metrics of service usage verses an estimated usage at the time of service implementation.
    • 本发明的实施例提供了一种用于在网络化计算环境(例如,云计算环境)中区分服务识别/暴露的方法。 在典型的实施例中,将产生输入模型标准。 这些标准可以(除其他外):基于上下文绑定和以域为中心的功能识别服务类别; 确定给定商业模式(BPM)的服务间依赖关系; 和/或提供要暴露/识别的服务的动态验证。 本发明的实施例可以进一步分析服务曝光标准以提供有效和准确的服务曝光决定以及服务曝光的验证。 这种方法允许基于过去类似(二维)对齐服务的决策历史进行一致的服务曝光确定。 该方法进一步允许基于服务使用的实际度量的验证评估与服务实施时的估计使用相符。
    • 6. 发明申请
    • AUTOMATICALLY ASESSING MATURITY OF CUSTOM APPLICATION FOR STANDARD-GOVERNED COMPUTING ENVIRONMENT
    • 自动化自定义应用于标准计算环境的成熟度
    • US20130304431A1
    • 2013-11-14
    • US13468131
    • 2012-05-10
    • Sateesh S. KannegalaNanjangud C. NarendraGandhi Sivakumar
    • Sateesh S. KannegalaNanjangud C. NarendraGandhi Sivakumar
    • G06F7/60
    • G06Q10/00
    • A system and associated method for automatically assessing maturity for a custom application in a cloud computing environment in accordance with a standard application model. A data fabric analyzer automatically calculates a logical data model compliance level to a process model for the custom application, and a maturity level the logical data model against a standard logical data model. If the logical data model is mature, the data fabric analyzer transforms the logical data model to a physical data model for implementation by a distillation process and a shearing process. If the logical data model is immature, the process model maturity is assessed to employ a standard physical model for implementing the custom application. The data fabric analyzer subsequently computes non-compliance levels for the physical model and calculates a capital expenditure cost caused by non-compliance of the custom physical model to a standard physical model.
    • 一种用于根据标准应用模型自动评估云计算环境中定制应用程序成熟度的系统和相关方法。 数据结构分析器自动计算逻辑数据模型合规性级别到自定义应用程序的过程模型,并根据标准逻辑数据模型对成熟度级别进行逻辑数据模型。 如果逻辑数据模型成熟,则数据结构分析器将逻辑数据模型转换为物理数据模型,以通过蒸馏过程和剪切过程实现。 如果逻辑数据模型不成熟,则流程模型成熟度被评估为采用标准物理模型来实现定制应用程序。 数据结构分析器随后计算物理模型的不合规级别,并计算由标准物理模型不符合自定义物理模型而导致的资本支出成本。