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1. 发明授权

US09672085B2 Adaptive fault diagnosis 有权
公开(公告)号：US09672085B2
公开(公告)日：2017-06-06
申请号：US15050008
申请日：2016-02-22
申请人： Accenture Global Services Limited
发明人： Qian Zhu , Teresa Tung , Qing Xie
IPC分类号： G06F11/00 , G06F11/07 , G06Q10/00 , G06Q10/06
CPC分类号： G06F11/0703 , G06F11/0709 , G06F11/079 , G06Q10/00 , G06Q10/0639
摘要： According to an example, an adaptive fault diagnosis system may include a memory storing machine readable instructions to receive metrics and events from an enterprise system, and use a substitution graph to determine if a received metric or a received event belongs to a cluster that includes one or more correlated metrics and/or events grouped based on similarity. If the received metric or the received event belongs to the cluster, the memory may further store machine readable instructions to use a detection graph to determine if the received metric or the received event is identifiable to form a fault pattern by traversing a fault path of the detection graph. Further, the memory may further store machine readable instructions to diagnose a fault based on the traversal of the fault path of the detection graph. The system may include a processor to implement the machine readable instructions.

2. 发明授权

US09588816B2 Performance interference model for managing consolidated workloads in QOS-aware clouds 有权
标题翻译：用于管理QOS感知云中的统一工作负载的性能干扰模型
公开(公告)号：US09588816B2
公开(公告)日：2017-03-07
申请号：US15134811
申请日：2016-04-21
申请人： Accenture Global Services Limited
发明人： Qian Zhu , Teresa Tung
IPC分类号： G06F15/173 , G06F15/16 , G06F9/50 , H04L29/08 , H04L12/923 , H04L12/927 , G06F9/48 , H04L12/24 , H04L12/26
CPC分类号： G06F9/5011 , G06F9/4881 , G06F9/5027 , G06F9/5072 , G06F9/5077 , G06F9/5083 , G06F2209/5019 , H04L29/08144 , H04L41/147 , H04L43/062 , H04L43/08 , H04L43/0876 , H04L43/0882 , H04L43/50 , H04L47/762 , H04L47/805 , H04L67/10 , H04L67/30 , H04L67/303
摘要： The workload profiler and performance interference (WPPI) system uses a test suite of recognized workloads, a resource estimation profiler and influence matrix to characterize un-profiled workloads, and affiliation rules to identify optimal and sub-optimal workload assignments to achieve consumer Quality of Service (QoS) guarantees and/or provider revenue goals. The WPPI system uses a performance interference model to forecast the performance impact to workloads of various consolidation schemes (e.g., consolidation strategies) usable to achieve cloud provider and/or cloud consumer goals, and uses the test suite of recognized workloads, the resource estimation profiler and influence matrix, affiliation rules, and performance interference model to perform off-line modeling to determine the initial assignment selections and consolidation strategy to use to deploy the workloads. The WPPI system uses an online consolidation algorithm, the offline models, and online monitoring to determine virtual machine to physical host assignments responsive to real-time conditions to meet cloud provider and/or cloud consumer goals.
摘要翻译：工作负载分析器和性能干扰（WPPI）系统使用经过认可的工作负载的测试套件，资源估算分析器和影响矩阵来表征未分析的工作负载，以及归属规则，以确定最佳和次优的工作负载分配，以实现消费者的服务质量（QoS）保证和/或提供者收入目标。 WPPI系统使用性能干扰模型来预测可用于实现云提供商和/或云消费者目标的各种合并方案（例如，整合策略）对工作负载的性能影响，并使用已识别工作负载的测试套件，资源估计分析器并影响矩阵，关联规则和性能干扰模型，以执行离线建模，以确定用于部署工作负载的初始分配选择和整合策略。 WPPI系统使用在线整合算法，离线模型和在线监控来根据实时情况确定虚拟机到物理主机分配，以满足云提供商和/或云消费者目标。

3. 发明申请

US20150128156A1 ANALYTICS FOR APPLICATION PROGRAMMING INTERFACES 有权
标题翻译：应用编程接口分析
公开(公告)号：US20150128156A1
公开(公告)日：2015-05-07
申请号：US14074342
申请日：2013-11-07
申请人： Accenture Global Services Limited
发明人： Qian Zhu , Teresa Tung , Benjamin Grimmer
IPC分类号： G06F9/54 , H04L29/06 , H04L29/08
CPC分类号： G06F9/541 , G06F8/74 , G06F8/75 , G06F11/302 , G06F11/3072 , G06N5/045 , G06N7/005 , H04L67/32 , H04L67/42
摘要： API analytics systems and methods are provided. Frequently occurring API usage patterns may be determined from API call data collected from across an API ecosystem. Alternatively or in addition, a classification structure, such as a decision tree, may be generated from the API usage patterns. A type of activity that resulted in a set of API calls being invoked may be determined from the classification structure. A similarity or difference between the set of API calls and the frequently occurring API usage patterns may also be determined and/or identified.
摘要翻译：提供API分析系统和方法。经常发生的API使用模式可以从API生态系统收集的API调用数据中确定。或者或另外，可以从API使用模式生成诸如决策树的分类结构。可以从分类结构确定导致调用一组API调用的一种活动。 API集合和经常出现的API使用模式之间的相似性或差异也可以被确定和/或识别。

4. 发明授权

US10110425B2 Differentiated service-based graceful degradation layer 有权
公开(公告)号：US10110425B2
公开(公告)日：2018-10-23
申请号：US14706460
申请日：2015-05-07
申请人： Accenture Global Services Limited
发明人： Teresa Tung , Shaw-Yi Chaw , Qing Xie , Qian Zhu
IPC分类号： G06F15/167 , H04L12/24 , G06F9/50 , H04L29/08 , H04L12/26
摘要： The differentiated service-based graceful degradation layer (DSGDL) allows cloud-based architectures to operate through and recover from periods of limited capability. The DSGDL protects and continues serving higher priority requests with the best possible response even as the underlying cloud-based services deteriorate. The DSGDL offloads lower priority requests to lower-grade secondary capability that can be dynamically provisioned in order to reserve the best capability for maintaining high priority service (e.g., by re-directing lower priority requests to a slightly out-of-date cached dataset, and reserve the primary consistent database for higher priority requests). The DSGDL 1) implements an overlay network over existing cloud services to route and enforce priority requests, and 2) provisions on-demand computing nodes and sites to provide secondary capability for service requests as needed.

5. 发明申请

US20140075005A1 CLOUD SERVICE MONITORING SYSTEM 审中-公开
标题翻译：云服务监控系统
公开(公告)号：US20140075005A1
公开(公告)日：2014-03-13
申请号：US14079383
申请日：2013-11-13
申请人： Accenture Global Services Limited
发明人： Teresa Tung , Farzana Badruddoja , Jaeyoung C. Kang
IPC分类号： H04L12/24
CPC分类号： H04L41/5003 , G06F11/30 , G06F11/3495 , G06F2209/503
摘要： A cloud services monitoring system (CSMS) helps a consumer of cloud computing resources determine the state of the cloud computing resources available to the consumer. The CSMS is particularly effective for cloud models where the consumer of the cloud computing resources is not the same as the provider of the cloud resource. The CSMS also provides mechanisms for adjusting operations actions to preserve service guarantees for the consumer. In that regard, the CSMS dynamically adjusts operations actions in response to the state of the cloud, rather than executing fixed pre-determined operations actions that are not tailored to the monitored conditions.
摘要翻译：云服务监控系统（CSMS）帮助云计算资源的消费者确定消费者可用的云计算资源的状态。对于云计算资源的消费者与云资源提供者不同的云模型，CSMS特别有效。 CSMS还提供了调整操作操作以维护消费者的服务保证的机制。在这方面，CSMS会根据云的状态动态调整操作操作，而不是执行固定的预定操作操作，而不是针对受监视的条件进行调整。

6. 发明授权

US10102264B2 Distributed computing backup and recovery system 有权
公开(公告)号：US10102264B2
公开(公告)日：2018-10-16
申请号：US14553266
申请日：2014-11-25
申请人： Accenture Global Services Limited
发明人： Teresa Tung , Sameer Farooqui , Owen Richter
IPC分类号： G06F17/30 , G06F11/14
摘要： The distributed computing backup and recovery (DCBR) system and method provide backup and recovery for distributed computing models (e.g., NoSQL). The DCBR system extends the protections from server node-level failure and introduces persistence in time so that the evolving data set may be stored and recovered to a past point in time. The DCBR system, instead of performing backup and recovery for an entire dataset, may be configured to apply to a subset of data. Instead of keeping or recovering snapshots of the entire dataset which requires the entire cluster, the DCBR system identifies the particular nodes and/or archive files where the dataset resides so that backup or recovery may be done with a much smaller number of nodes.

7. 发明申请

US20150229582A1 Performance Interference Model for Managing Consolidated Workloads in QoS-Aware Clouds 审中-公开
标题翻译：在QoS感知云中管理综合工作负载的性能干扰模型
公开(公告)号：US20150229582A1
公开(公告)日：2015-08-13
申请号：US14697310
申请日：2015-04-27
申请人： Accenture Global Services Limited
发明人： Qian Zhu , Teresa Tung
IPC分类号： H04L12/923 , H04L12/927 , H04L12/26
CPC分类号： G06F9/5011 , G06F9/4881 , G06F9/5027 , G06F9/5072 , G06F9/5077 , G06F9/5083 , G06F2209/5019 , H04L29/08144 , H04L41/147 , H04L43/062 , H04L43/08 , H04L43/0876 , H04L43/0882 , H04L43/50 , H04L47/762 , H04L47/805 , H04L67/10 , H04L67/30 , H04L67/303
摘要： The workload profiler and performance interference (WPPI) system uses a test suite of recognized workloads, a resource estimation profiler and influence matrix to characterize un-profiled workloads, and affiliation rules to identify optimal and sub-optimal workload assignments to achieve consumer Quality of Service (QoS) guarantees and/or provider revenue goals. The WPPI system uses a performance interference model to forecast the performance impact to workloads of various consolidation schemes (e.g., consolidation strategies) usable to achieve cloud provider and/or cloud consumer goals, and uses the test suite of recognized workloads, the resource estimation profiler and influence matrix, affiliation rules, and performance interference model to perform off-line modeling to determine the initial assignment selections and consolidation strategy to use to deploy the workloads. The WPPI system uses an online consolidation algorithm, the offline models, and online monitoring to determine virtual machine to physical host assignments responsive to real-time conditions to meet cloud provider and/or cloud consumer goals.
摘要翻译：工作负载分析器和性能干扰（WPPI）系统使用经过认可的工作负载的测试套件，资源估算分析器和影响矩阵来表征未分析的工作负载，以及归属规则，以确定最佳和次优的工作负载分配，以实现消费者的服务质量（QoS）保证和/或提供者收入目标。 WPPI系统使用性能干扰模型来预测可用于实现云提供商和/或云消费者目标的各种合并方案（例如，整合策略）对工作负载的性能影响，并使用已识别工作负载的测试套件，资源估计分析器并影响矩阵，关联规则和性能干扰模型，以执行离线建模，以确定用于部署工作负载的初始分配选择和整合策略。 WPPI系统使用在线整合算法，离线模型和在线监控来根据实时情况确定虚拟机到物理主机分配，以满足云提供商和/或云消费者目标。

8. 发明申请

US20150012634A1 Performance Interference Model for Managing Consolidated Workloads In Qos-Aware Clouds 有权
标题翻译：在Qos-Aware云中管理综合工作负载的性能干扰模型
公开(公告)号：US20150012634A1
公开(公告)日：2015-01-08
申请号：US14249013
申请日：2014-04-09
申请人： Accenture Global Services Limited
发明人： Qian Zhu , Teresa Tung
IPC分类号： H04L12/26 , H04L29/08
CPC分类号： G06F9/5011 , G06F9/4881 , G06F9/5027 , G06F9/5072 , G06F9/5077 , G06F9/5083 , G06F2209/5019 , H04L29/08144 , H04L41/147 , H04L43/062 , H04L43/08 , H04L43/0876 , H04L43/0882 , H04L43/50 , H04L47/762 , H04L47/805 , H04L67/10 , H04L67/30 , H04L67/303
摘要： The workload profiler and performance interference (WPPI) system uses a test suite of recognized workloads, a resource estimation profiler and influence matrix to characterize un-profiled workloads, and affiliation rules to identify optimal and sub-optimal workload assignments to achieve consumer Quality of Service (QoS) guarantees and/or provider revenue goals. The WPPI system uses a performance interference model to forecast the performance impact to workloads of various consolidation schemes usable to achieve cloud provider and/or cloud consumer goals, and uses the test suite of recognized workloads, the resource estimation profiler and influence matrix, affiliation rules, and performance interference model to perform modeling to determine the initial assignment selections and consolidation strategy to use to deploy the workloads. The WPPI system uses an online consolidation algorithm, the offline models, and online monitoring to determine virtual machine to physical host assignments responsive to real-time conditions to meet cloud provider and/or cloud consumer goals.
摘要翻译：工作负载分析器和性能干扰（WPPI）系统使用经过认可的工作负载的测试套件，资源估算分析器和影响矩阵来表征未分析的工作负载，以及归属规则，以确定最佳和次优的工作负载分配，以实现消费者的服务质量（QoS）保证和/或提供者收入目标。 WPPI系统使用性能干扰模型来预测可用于实现云提供商和/或云消费者目标的各种合并方案的工作负载的性能影响，并使用公认工作负载的测试套件，资源估计分析器和影响矩阵，归属规则，以及性能干扰模型，以执行建模以确定用于部署工作负载的初始分配选择和整合策略。 WPPI系统使用在线整合算法，离线模型和在线监控来根据实时情况确定虚拟机到物理主机分配，以满足云提供商和/或云消费者目标。

9. 发明授权

US09720746B2 Analytics for application programming interfaces 有权
公开(公告)号：US09720746B2
公开(公告)日：2017-08-01
申请号：US14822189
申请日：2015-08-10
申请人： Accenture Global Services Limited
发明人： Qian Zhu , Teresa Tung , Benjamin Grimmer
IPC分类号： G06F9/54 , H04L29/08 , H04L29/06 , G06N7/00 , G06N5/04 , G06F9/44 , G06F11/30
CPC分类号： G06F9/541 , G06F8/74 , G06F8/75 , G06F11/302 , G06F11/3072 , G06N5/045 , G06N7/005 , H04L67/32 , H04L67/42
摘要： API analytics systems and methods are provided. Frequently occurring API usage patterns may be determined from API call data collected from across an API ecosystem. Alternatively or in addition, a classification structure, such as a decision tree, may be generated from the API usage patterns. A type of activity that resulted in a set of API calls being invoked may be determined from the classification structure. A similarity or difference between the set of API calls and the frequently occurring API usage patterns may also be determined and/or identified.

10. 发明授权

US09367434B2 Testing framework for policy-based workflows 有权
标题翻译：基于策略的工作流测试框架
公开(公告)号：US09367434B2
公开(公告)日：2016-06-14
申请号：US14044467
申请日：2013-10-02
申请人： Accenture Global Services Limited
发明人： Kunal Taneja , Teresa Tung , Mijung Kim
IPC分类号： G06F9/44 , G06F11/36 , G06F9/52
CPC分类号： G06F11/3684 , G06F9/52
摘要： A system comprehensively tests each feasible path in a policy-based Extensible Markup Language (XML) workflow. The system may receive an input workflow and parse workflow (or proxy code of the workflow) to construct a policy control flow graph. The system may identify paths in the policy control flow graph, such as each feasible path in the policy control flow graph. The system may determine path constraints for the identified paths, where the path constraints identify path conditions for traversing the identified path in the policy control flow graph. Then, the system may generate a set of test inputs for the workflow using the path constraints that, when input into the policy-based XML workflow, cause the workflow to traverse the identified paths.
摘要翻译：系统在基于策略的可扩展标记语言（XML）工作流程中全面测试每个可行路径。系统可以接收输入工作流和解析工作流（或工作流的代理代码）来构建策略控制流程图。系统可以识别策略控制流程图中的路径，例如策略控制流程图中的每个可行路径。系统可以确定所识别的路径的路径约束，其中路径约束识别在策略控制流程图中遍历所识别的路径的路径条件。然后，系统可以使用路径约束生成一组用于工作流的测试输入，当路径约束被输入到基于策略的XML工作流中时，该工作流使得工作流遍历所识别的路径。

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