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1. 发明授权

US10554495B2 Sending hardware specific soft metrics for each of a plurality of computing devices based on a plain language user policy 有权
公开(公告)号：US10554495B2
公开(公告)日：2020-02-04
申请号：US15457779
申请日：2017-03-13
申请人： International Business Machines Corporation
发明人： Pradipta K. Banerjee , Sudipta Biswas , Hemant K. Shaw
IPC分类号： H04L12/24 , G06F9/455
摘要： An apparatus for implementing a user policy includes a policy module that issues a user policy for a plurality of computing devices. Two or more of the computing devices have different hardware configurations. The apparatus includes a soft metrics module that, in response to the user policy, sends soft metrics for a computing device of the plurality of computing devices, to determine if the computing device complies with the user policy, where the soft metrics are specific to a hardware configuration of the computing device. The apparatus includes an operational data module that receives, from the computing device, operational data responsive to the soft metrics, and a compliance module that analyzes the operational data to determine if the computing device complies with the user policy.

2. 发明申请

US20190179678A1 COMPUTER SERVER APPLICATION EXECUTION SCHEDULING LATENCY REDUCTION 审中-公开
公开(公告)号：US20190179678A1
公开(公告)日：2019-06-13
申请号：US15834306
申请日：2017-12-07
申请人： International Business Machines Corporation
发明人： Pradipta K. Banerjee , Sudipta Biswas , Vijay K. Sukthankar
IPC分类号： G06F9/50 , G06F9/48 , G06F17/30
摘要： Technical solutions are described for assigning containers for executing functions in a software application using a server cluster that uses functions as a service architecture. An example method includes creating, by a global scheduler of the server cluster, a first container at a first host node in the server cluster for executing a first function from the software application. The method further includes intercepting, by an in-node scheduler of the first host node, a command from the first function for creating a second container for executing a second function. The method further includes assigning, by the in-node scheduler, an in-node container as the second container, the in-node container being a container executing on the first host node. The method further includes updating, by the in-node scheduler, a resource database that indicates that the second function is being executed in the in-node container on the first host node.

3. 发明授权

US11030016B2 Computer server application execution scheduling latency reduction 有权
公开(公告)号：US11030016B2
公开(公告)日：2021-06-08
申请号：US15834306
申请日：2017-12-07
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Pradipta K. Banerjee , Sudipta Biswas , Vijay K. Sukthankar
IPC分类号： G06F9/50 , G06F9/48 , G06F16/23 , H04L12/911 , H04L29/08
摘要： Technical solutions are described for assigning containers for executing functions in a software application using a server cluster that uses functions as a service architecture. An example method includes creating, by a global scheduler of the server cluster, a first container at a first host node in the server cluster for executing a first function from the software application. The method further includes intercepting, by an in-node scheduler of the first host node, a command from the first function for creating a second container for executing a second function. The method further includes assigning, by the in-node scheduler, an in-node container as the second container, the in-node container being a container executing on the first host node. The method further includes updating, by the in-node scheduler, a resource database that indicates that the second function is being executed in the in-node container on the first host node.

4. 发明授权

US09582379B2 Multi-site disaster recovery mechanism for distributed cloud orchestration software 有权
标题翻译：用于分布式云编排软件的多站点灾难恢复机制
公开(公告)号：US09582379B2
公开(公告)日：2017-02-28
申请号：US14305157
申请日：2014-06-16
申请人： International Business Machines Corporation
发明人： Pradipta K. Banerjee , Sudipta Biswas
IPC分类号： G06F11/00 , G06F11/20
CPC分类号： G06F11/203 , G06F11/2035 , G06F11/2048
摘要： Multi-site disaster recovery mechanism performed by the following steps: (i) providing a disaster recovery (DR) system that includes a plurality of sites where each site of the plurality of sites actively serves infrastructure-as-a-service to a set of tenant(s); (ii) for each site of the plurality of sites, determining the following characteristics of the site: workloads that require DR, workloads characteristics, tenants and capabilities; (iii) for each site of the plurality of sites, determining a plurality of associated sites; and (iv) on condition that a disaster occurs which impacts a first site of the plurality of sites, distributing a primary site workload of the first site across the associated sites of the first site. The determination of the plurality of associated sites associated with each site is based upon at least one of the following characteristics: capacity, workloads that require DR, workloads characteristics, tenants and/or capabilities.
摘要翻译：多站点灾难恢复机制通过以下步骤执行：（i）提供灾难恢复（DR）系统，其包括多个站点，其中多个站点的每个站点主动地服务于一组服务的基础设施服务租客; （ii）对于多个站点的每个站点，确定站点的以下特征：需要DR，工作负载特性，租户和能力的工作负载; （iii）对于所述多个站点的每个站点，确定多个关联站点; 以及（iv）在发生影响多个站点的第一站点的灾害的情况下，将第一站点的主站点工作量分布在第一站点的相关站点。与每个站点相关联的多个关联站点的确定基于以下特征中的至少一个：容量，需要DR的工作负载，工作负载特性，租户和/或能力。

5. 发明授权

US09417923B2 Optimization of workload placement 有权
标题翻译：优化工作量布局
公开(公告)号：US09417923B2
公开(公告)日：2016-08-16
申请号：US14108701
申请日：2013-12-17
申请人： International Business Machines Corporation
发明人： Ashish Billore , Sudipta Biswas
IPC分类号： G06F9/46 , G06F9/50
CPC分类号： G06Q10/06316 , G06F9/5038 , G06F9/5083 , G06F2209/5021 , G06F2209/506
摘要： A computer manages methods for determining workload placement in a computing environment. The computer receives a plurality of workloads with associated information, wherein the associated information for each workload contains at least: contract information, billing information, and resource availability information. The computer determines a profitability factor for each workload of the plurality of workloads, wherein the profitability factor is at least based on the billing information. The computer determines a penalty factor for each workload of the plurality of workloads, wherein the penalty factor is at least based on the contract information. The computer determines a preference factor for each workload of the plurality of workloads, wherein the preference factor is at least based on the resource availability information. The computer assigns a priority ordering for each of the workloads from the plurality of workloads.
摘要翻译：计算机管理用于在计算环境中确定工作负载布局的方法。计算机接收具有关联信息的多个工作负载，其中每个工作负载的关联信息至少包含：合同信息，计费信息和资源可用性信息。所述计算机确定所述多个工作负载的每个工作负载的盈利能力因子，其中所述盈利因素至少基于所述计费信息。计算机确定多个工作负载中的每个工作负荷的罚因子，其中惩罚因子至少基于合同信息。所述计算机确定所述多个工作负载中的每个工作负荷的偏好因子，其中所述偏好因子至少基于所述资源可用性信息。计算机为来自多个工作负载的每个工作负载分配优先顺序。

6. 发明授权

US10102490B2 Optimization of workload placement 有权
公开(公告)号：US10102490B2
公开(公告)日：2018-10-16
申请号：US15184323
申请日：2016-06-16
申请人： International Business Machines Corporation
发明人： Ashish Billore , Sudipta Biswas
IPC分类号： G06F9/46 , G06Q10/06 , G06F9/50
摘要： A computer manages methods for determining workload placement in a computing environment. The computer receives a plurality of workloads with associated information, wherein the associated information for each workload contains at least: contract information, billing information, and resource availability information. The computer determines a profitability factor for each workload of the plurality of workloads, wherein the profitability factor is at least based on the billing information. The computer determines a penalty factor for each workload of the plurality of workloads, wherein the penalty factor is at least based on the contract information. The computer determines a preference factor for each workload of the plurality of workloads, wherein the preference factor is at least based on the resource availability information. The computer assigns a priority ordering for each of the workloads from the plurality of workloads.

7. 发明申请

US20160041889A1 OPTIMIZING PLACEMENT PLANS FOR HOST FAILURE IN CLOUD COMPUTING ENVIRONMENTS 有权
公开(公告)号：US20160041889A1
公开(公告)日：2016-02-11
申请号：US14451475
申请日：2014-08-05
申请人： International Business Machines Corporation
发明人： Pradipta K. Banerjee , Ashish Billore , Sudipta Biswas , Muthu A. Muthiah
IPC分类号： G06F11/20 , G06F9/48
CPC分类号： G06F11/203 , G06F9/45558 , G06F9/4856 , G06F11/004 , G06F11/3006 , G06F11/301 , G06F2009/4557 , G06F2201/815
摘要： Embodiments of the present invention provide systems, methods, and computer program products for optimizing a placement plan. In one embodiment, a method is disclosed in which a request for registration with an external advisor is received. A time to live is received from each external advisor and used to determine an overall timeout period value for a placement engine. After receiving a predictive failure alert, internal and external advisors are ranked according to criteria and advice is received from the qualified advisors. A placement plan is generated based on the advice received from the advisors.

8. 发明申请

US20150169366A1 OPTIMIZATION OF WORKLOAD PLACEMENT 有权
标题翻译：工作放置优化
公开(公告)号：US20150169366A1
公开(公告)日：2015-06-18
申请号：US14108701
申请日：2013-12-17
申请人： International Business Machines Corporation
发明人： Ashish Billore , Sudipta Biswas
IPC分类号： G06F9/48
CPC分类号： G06Q10/06316 , G06F9/5038 , G06F9/5083 , G06F2209/5021 , G06F2209/506
摘要： A computer manages methods for determining workload placement in a computing environment. The computer receives a plurality of workloads with associated information, wherein the associated information for each workload contains at least: contract information, billing information, and resource availability information. The computer determines a profitability factor for each workload of the plurality of workloads, wherein the profitability factor is at least based on the billing information. The computer determines a penalty factor for each workload of the plurality of workloads, wherein the penalty factor is at least based on the contract information. The computer determines a preference factor for each workload of the plurality of workloads, wherein the preference factor is at least based on the resource availability information. The computer assigns a priority ordering for each of the workloads from the plurality of workloads.
摘要翻译：计算机管理用于在计算环境中确定工作负载布局的方法。计算机接收具有关联信息的多个工作负载，其中每个工作负载的关联信息至少包含：合同信息，计费信息和资源可用性信息。所述计算机确定所述多个工作负载的每个工作负载的盈利能力因子，其中所述盈利因素至少基于所述计费信息。计算机确定多个工作负载中的每个工作负荷的罚因子，其中惩罚因子至少基于合同信息。所述计算机确定所述多个工作负载中的每个工作负荷的偏好因子，其中所述偏好因子至少基于所述资源可用性信息。计算机为来自多个工作负载的每个工作负载分配优先顺序。

9. 发明申请

US20160292609A1 OPTIMIZATION OF WORKLOAD PLACEMENT 审中-公开
公开(公告)号：US20160292609A1
公开(公告)日：2016-10-06
申请号：US15184323
申请日：2016-06-16
申请人： International Business Machines Corporation
发明人： Ashish Billore , Sudipta Biswas
IPC分类号： G06Q10/06 , G06F9/50
CPC分类号： G06Q10/06316 , G06F9/5038 , G06F9/5083 , G06F2209/5021 , G06F2209/506
摘要： A computer manages methods for determining workload placement in a computing environment. The computer receives a plurality of workloads with associated information, wherein the associated information for each workload contains at least: contract information, billing information, and resource availability information. The computer determines a profitability factor for each workload of the plurality of workloads, wherein the profitability factor is at least based on the billing information. The computer determines a penalty factor for each workload of the plurality of workloads, wherein the penalty factor is at least based on the contract information. The computer determines a preference factor for each workload of the plurality of workloads, wherein the preference factor is at least based on the resource availability information. The computer assigns a priority ordering for each of the workloads from the plurality of workloads.

10. 发明授权

US09367408B2 Optimizing placement plans for host failure in cloud computing environments 有权
公开(公告)号：US09367408B2
公开(公告)日：2016-06-14
申请号：US14510150
申请日：2014-10-09
申请人： International Business Machines Corporation
发明人： Pradipta K. Banerjee , Ashish Billore , Sudipta Biswas , Muthu A. Muthiah
IPC分类号： G06F11/20 , G06F9/48 , G06F9/455 , G06F11/00 , G06F11/30
CPC分类号： G06F11/203 , G06F9/45558 , G06F9/4856 , G06F11/004 , G06F11/3006 , G06F11/301 , G06F2009/4557 , G06F2201/815
摘要： Embodiments of the present invention provide systems, methods, and computer program products for optimizing a placement plan. In one embodiment, a method is disclosed in which a request for registration with an external advisor is received. A time to live is received from each external advisor and used to determine an overall timeout period value for a placement engine. After receiving a predictive failure alert, internal and external advisors are ranked according to criteria and advice is received from the qualified advisors. A placement plan is generated based on the advice received from the advisors.

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