专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

21. 发明申请

US20170011080A1 MANAGING REPLICATED DATA 审中-公开
标题翻译：管理重复数据
公开(公告)号：US20170011080A1
公开(公告)日：2017-01-12
申请号：US15270337
申请日：2016-09-20
申请人： International Business Machines Corporation
发明人： Billy S. Brewer , Kavita Chavda , Nagapramod S. Mandagere , Ramani R. Routray
IPC分类号： G06F17/30 , G06F11/14 , G06F11/34
CPC分类号： G06F17/30321 , G06F11/1458 , G06F11/3409 , G06F17/30312 , G06F17/30336 , G06F17/30345 , G06F17/30528 , G06F17/3053 , G06F17/30554 , G06F17/30575 , G06F17/30619 , G06F17/30622 , G06F17/30687 , G06F2201/81
摘要： An approach for managing replicated data is presented. A current usage of resources in a system and a threshold usage of the resources are determined. Based on inter-replica correlation(s) and inter-data correlation(s) specified by a unified replication metadata model, a proper subset of replicas included in a plurality of replicas is indexed by (i) if the current usage is less than the threshold usage, determining an expected additional resource usage due to performing an indexing task online and based on the expected additional resource usage, determining a resource affinity score for performing the indexing task online, or (ii) if the current usage is greater than or equal to the threshold usage, determining an expected resource usage due to performing the indexing task offline and based on the expected resource usage, determining a resource affinity score for performing the indexing task offline.
摘要翻译：介绍了一种管理复制数据的方法。确定系统中的资源的当前使用和资源的阈值使用。基于由统一复制元数据模型指定的副本间相关性和数据间相关性，包括在多个副本中的副本的适当子集被索引（i）如果当前使用小于阈值使用，由于在线执行索引任务并基于预期的附加资源使用来确定预期的额外资源使用，确定用于在线执行索引任务的资源亲和度分数，或者（ii）如果当前使用大于或等于到阈值使用情况，确定由于执行索引任务脱机而导致的预期资源使用，并且基于预期的资源使用，确定用于执行索引任务离线的资源亲和度分数。

22. 发明授权

US09495640B1 Inferring application type based on input-output characteristics of application storage resources 有权
标题翻译：根据应用程序存储资源的输入输出特性推断应用程序类型
公开(公告)号：US09495640B1
公开(公告)日：2016-11-15
申请号：US15157451
申请日：2016-05-18
申请人： International Business Machines Corporation
发明人： Gabriel Alatorre , Ann M. Corrao , Bernhard J. Klingenberg , James E. Olson , Ramani R. Routray , Yang Song
IPC分类号： G06F12/02 , G06F3/06 , G06F7/08 , G06N5/04 , G06N99/00
CPC分类号： G06F17/30592 , G06F3/061 , G06F3/0631 , G06F3/0653 , G06F3/067 , G06F7/08 , G06F12/023 , G06F17/3056 , G06F17/30876 , G06N5/04 , G06N99/005
摘要： Operational characteristic I/O patterns of each storage volume of a storage volume group, and at least one operational characteristic of each storage volume associated with an application, are determined. Unsupervised learning is used to form clusters of storage volumes of similar characteristics. Labels are generated, assigned, and aggregated for each characteristic of each storage volume. Templates are received that includes labels of storage volume characteristics of known application types. An application type associated with the storage volume group is inferred, based on a best-fit match of the aggregate labels of the storage volumes of the storage volume group to the labels included in the templates of storage volume characteristics of known application types.
摘要翻译：确定存储卷组的每个存储卷的操作特征I / O模式以及与应用相关联的每个存储卷的至少一个操作特性。无监督学习用于形成具有相似特征的存储卷集。为每个存储卷的每个特性生成，分配和聚合标签。收到包含已知应用类型的存储卷特性标签的模板。基于存储卷组的存储卷的聚合标签与包括在已知应用类型的存储卷特征的模板中的标签的最佳匹配匹配，推断与存储卷组相关联的应用类型。

23. 发明授权

US09300536B2 Cluster-aware resource provisioning in a networked computing environment 有权
标题翻译：网络化计算环境中的集群感知资源配置
公开(公告)号：US09300536B2
公开(公告)日：2016-03-29
申请号：US13759255
申请日：2013-02-05
申请人： International Business Machines Corporation
发明人： Sandip Agarwala , Kavita Chavda , Michael L. Lamb , Stephen J. Luko, Jr. , Ramani R. Routray
IPC分类号： G06F15/173 , H04L12/24
CPC分类号： H04L41/0836 , H04L41/0806 , H04L41/0893 , H04L41/14 , H04L41/145
摘要： Embodiments of the present invention provide an approach for providing cluster-aware (storage) resource provisioning in a networked computing environment (e.g., a cloud computing environment) based upon policies, best practices, and/or storage cluster/environment configurations. In a typical embodiment, a set of characteristics (e.g., computing resources/components, etc.) of a storage environment will be determined. A set of requirements for a set of workloads to be processed by the components of the storage environment will then be identified. A set of policies and a set of best practices will then be determined to identify a configuration of the storage environment to optimize the processing of the set of workloads according to the set of requirements. Based on the configuration, a plan will be generated that indicates a data path through the set of computing resources that minimizes a potential for error in processing the set of workloads.
摘要翻译：本发明的实施例提供了一种基于策略，最佳实践和/或存储集群/环境配置在网络计算环境（例如，云计算环境）中提供集群感知（存储）资源供应的方法。在典型的实施例中，将确定存储环境的一组特征（例如，计算资源/组件等）。然后将识别要由存储环境的组件处理的一组工作负载的一组要求。然后将确定一组策略和一组最佳实践，以确定存储环境的配置，以根据要求集合优化一组工作负载的处理。基于该配置，将生成一个计划，该计划指示通过一组计算资源的数据路径，其使处理该组工作负载的可能性最小化。

24. 发明申请

US20150256432A1 MANAGING RESOURCES IN A NETWORKED COMPUTING ENVIRONMENT 有权
标题翻译：管理网络计算环境中的资源
公开(公告)号：US20150256432A1
公开(公告)日：2015-09-10
申请号：US14202237
申请日：2014-03-10
申请人： International Business Machines Corporation
发明人： Sandip Agarwala , Venkateswarlu Basyam , Kavita Chavda , Dean Hildebrand , Ramani R. Routray
IPC分类号： H04L12/26 , H04L29/08 , H04L12/24
CPC分类号： H04L43/0876 , G06F9/5077 , H04L41/0806 , H04L41/0823
摘要： An approach for managing and optimizing available resources utilized in a networked computing environment (e.g., a cloud computing environment) is provided. In one aspect, a plurality of resources in a plurality of storage pools within the networked computing environment are monitored. Each storage pool is running at least one application workload using a corresponding subset of the plurality of resources. The storage pools are ranked based on the application workloads. In response to an over-utilized storage pool and/or an under-utilized storage pool, the plurality of resources are dynamically reconfigured.
摘要翻译：提供了用于管理和优化在网络计算环境（例如，云计算环境）中使用的可用资源的方法。在一个方面，监视联网计算环境内的多个存储池中的多个资源。每个存储池使用多个资源的相应子集运行至少一个应用程序工作负载。存储池根据应用程序工作负载进行排名。响应于过度利用的存储池和/或未充分利用的存储池，动态地重新配置多个资源。

25. 发明授权

US09110966B2 Managing replicated data 有权
标题翻译：管理复制数据
公开(公告)号：US09110966B2
公开(公告)日：2015-08-18
申请号：US14509096
申请日：2014-10-08
申请人： International Business Machines Corporation
发明人： Billy S. Brewer , Kavita Chavda , Nagapramod S. Mandagere , Ramani R. Routray
IPC分类号： G06F17/30
CPC分类号： G06F17/30321 , G06F11/1458 , G06F11/3409 , G06F17/30312 , G06F17/30336 , G06F17/30345 , G06F17/30528 , G06F17/3053 , G06F17/30554 , G06F17/30575 , G06F17/30619 , G06F17/30622 , G06F17/30687 , G06F2201/81
摘要： An approach for managing replicated data is presented. Metadata is received specifying inter-data correlation(s), inter-replica correlation(s), and data-replica correlation(s) among replicas generated for a system. A unified replication metadata model specifying the correlations is generated. Based on the inter-replica correlation(s), a proper subset of the replicas is selected. Based on the inter-replica and inter-data correlation(s), the selected proper subset of replicas is indexed to generate a unified content index. A query is received to locate a data item in at least one of the replicas. Based on the unified content index, the unified replication metadata model, and the query, candidate replica(s) and confidence score(s) indicating likelihood(s) that the candidate replica(s) include the data item are determined. Based on temporal distance(s) and percent change(s) between first and second replica(s), confidence score(s) of the second replica(s) are determined.
摘要翻译：介绍了一种管理复制数据的方法。接收到指定为系统生成的副本之间的数据间相关性，副本间相关性和数据副本相关性的元数据。生成指定相关性的统一复制元数据模型。基于副本之间的相关性，选择副本的正确子集。基于副本间和数据间的相关性，将所选择的副本副本进行索引，以生成统一的内容索引。接收到查询以在至少一个副本中定位数据项。基于统一内容索引，确定统一复制元数据模型，以及表示候选副本包含数据项的可能性的查询，候选副本和置信度得分。基于第一和第二副本之间的时间距离和百分比变化，确定第二副本的置信度得分（s）。

26. 发明授权

US11895223B2 Cross-chain validation 有权
公开(公告)号：US11895223B2
公开(公告)日：2024-02-06
申请号：US16269090
申请日：2019-02-06
申请人： International Business Machines Corporation
发明人： Gabor Madl , Luis Angel D. Bathen , Ramani R. Routray , Diego A. Masini , Dulce B. Ponceleon
IPC分类号： H04L9/06 , G06F21/62 , G06F21/64 , H04L9/32 , H04L9/00
CPC分类号： H04L9/0637 , G06F21/6218 , G06F21/64 , H04L9/0643 , H04L9/3263 , H04L9/50
摘要： An example operation may include one or more of receiving a request to certify a digital record, retrieving a first hashed data value of the digital record from a data block included among a first hash-linked chain of blocks on a first blockchain, retrieving a second hashed data value of the digital record from a second data block included among a second hash-linked chain of blocks on a second blockchain which is different from the first blockchain, determining whether the digital record is valid based on a cross-validation of the first hashed data value and the second hashed data value, and storing the determination of the validity of the digital record in a data block among a third hash-linked chain of blocks.

27. 发明授权

US11593814B2 Artificial intelligence for robust drug dilution detection 有权
公开(公告)号：US11593814B2
公开(公告)日：2023-02-28
申请号：US16851531
申请日：2020-04-17
申请人： International Business Machines Corporation
发明人： Ramani R. Routray , Venkat K. Balagurusamy , Ashwin Dhinesh Kumar , Donna N Eng Dillenberger , Bruce Light Hillsberg , Mark Dudman
IPC分类号： G06K9/00 , G06Q30/018 , G06N20/00 , G06N3/088 , G16H50/20 , G06K9/62 , G16H20/10 , G06V30/24
摘要： Techniques are provided detecting diluted drugs using machine learning. Measurements and images corresponding to a product are obtained, wherein the product is formulated as a liquid, and wherein the measurements and images capture physical, spectral, optical, and/or chemical properties of the product. The measurements and images are provided to a machine learning model, wherein the machine learning model is trained using data generated from interactive learning modules (e.g., a generative adversarial network). The machine learning model detects whether the product or chemical is a real or counterfeit product. In addition, these techniques may be used by practitioners (e.g., medical personnel dispensing a prescribed dosage of a drug with a specific dilution level) to detect prescription errors at the point of administration.

28. 发明申请

US20220157437A1 ENHANCED LIQUID CONTAINER FOR LIQUID AUTHENTICATION 有权
公开(公告)号：US20220157437A1
公开(公告)日：2022-05-19
申请号：US17099040
申请日：2020-11-16
申请人： International Business Machines Corporation
发明人： Ramani R. Routray , Bruce Light Hillsberg , VENKAT K. BALAGURUSAMY , Ashwin Dhinesh Kumar , Donna N. Eng Dillenberger , Mark Dudman
IPC分类号： G16H30/40 , G16H30/20 , G16H20/10 , G16H10/60 , G06T3/40
摘要： An approach for providing a cap with an embedded high-resolution lens and a sampling insert that is used during an authentication of a composition of a liquid in a container sealed by the cap. The cap has a top portion of a cap with an opening, a sampling insert inside the opening in the top portion of the cap, and a high-resolution lens inside an opening in the sampling insert.

29. 发明授权

US11057284B2 Cognitive quality of service monitoring 有权
公开(公告)号：US11057284B2
公开(公告)日：2021-07-06
申请号：US15615151
申请日：2017-06-06
申请人： International Business Machines Corporation
发明人： Obinna B. Anya , Heiko H. Ludwig , Nagapramod S. Mandagere , Mohamed Mohamed , Mu Qiao , Ramani R. Routray , Samir Tata
IPC分类号： H04L12/26 , H04L12/24
摘要： One embodiment provides a quality of service (QoS) monitoring framework for dynamically binding one or more customer applications to one or more microservices in a dynamic service environment, collecting compliance data and contextual data from the dynamic service environment and one or more hosting environments, and modifying a monitoring infrastructure for the one or more customer applications based on the compliance data and the contextual data.

30. 发明授权

US11016834B2 Hybrid and hierarchical outlier detection system and method for large scale data protection 有权
公开(公告)号：US11016834B2
公开(公告)日：2021-05-25
申请号：US16365471
申请日：2019-03-26
申请人： International Business Machines Corporation
发明人： Mu Qiao , Ramani R. Routray , Quan Zhang
IPC分类号： G06F11/00 , G06F11/07 , G06F11/14 , G06F17/18 , G06F17/10 , G06N7/00 , G06K9/00 , G06K9/62 , G06N20/20 , G06N3/00
摘要： One embodiment provides a method comprising receiving metadata comprising univariate time series data for each variable of a multivariate time series. The method comprises, for each variable of the multivariate time series, applying a hybrid and hierarchical model selection process to select an anomaly detection model suitable for the variable based on corresponding univariate time series data for the variable and covariations and interactions between the variable and at least one other variable of the multivariate time series, and detecting an anomaly on the variable utilizing the anomaly detection model selected for the variable. Based on each anomaly detection model selected for each variable of the multivariate time series, the method further comprises performing ensemble learning to determine whether the multivariate time series is anomalous at a particular time point.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式