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1. 发明申请

US20190258575A1 ADAPTIVE CACHING USING NAVIGATIONAL GRAPHS 审中-公开
公开(公告)号：US20190258575A1
公开(公告)日：2019-08-22
申请号：US15902299
申请日：2018-02-22
申请人： CA, Inc.
发明人： Arijit Dey , Subhasis Khatua , Surya Kiran Satyavarapu
IPC分类号： G06F12/0862 , G06F12/12
摘要： A cache manager generates a navigational graph which includes nodes representing possible actions for an application and edges which indicate the ability for users to navigate among the actions. When selecting data to cache, the cache manager determines which actions in the navigational graph are currently being accessed by users and identifies connected nodes to which the users may subsequently navigate. The cache manager determines an index for each of the connected nodes and caches data for nodes which have the highest index. The cache manager can determine the index based on a variety of parameters including an aggregate probability distribution that the node will be reached by a user, a business criticality value for the node, a node response time for when the node data is not cached, a size of data associated with the node, and an average time that data for the node will be cached.

2. 发明申请

US20150199215A1 ASSIGNING DATA PROCESSING WORKLOADS IN DATA CENTERS BASED ON NON-DATA PROCESSING OVERHEAD 审中-公开
标题翻译：基于非数据处理过程的数据中心处理数据处理工作量
公开(公告)号：US20150199215A1
公开(公告)日：2015-07-16
申请号：US14156250
申请日：2014-01-15
申请人： CA, INC.
发明人： Serguei Mankovskii , Douglas M. Neuse , Ramanjaneyulu Malisetti , Rajasekhar Gogula , Subhasis Khatua
IPC分类号： G06F9/48
CPC分类号： G06F9/5094 , G06F9/4893 , Y02D10/22
摘要： Data processing workloads are selectively assigned within a data center and/or among data centers based on non-data processing overhead within the data center and/or among the data centers. Power consumption of a rack including servers is predicted based on data processing demands that are placed on the servers for a given data processing workload, and power consumed by the rack is measured when the servers are performing the given data processing workload. A metric of power consumed by the rack for non-data processing overhead is derived based on a difference between results of the predicting and the measuring. A future data processing workload is selectively assigned to the rack based on the metric of power of power consumed by the rack for the non-data processing overhead. Assignment may also take place at an aisle and/or data center level based on these metrics.
摘要翻译：基于数据中心内和/或数据中心之间的非数据处理开销，在数据中心和/或数据中心之间选择性地分配数据处理工作负载。基于针对给定数据处理工作负载的服务器上的数据处理需求来预测包括服务器在内的机架的功耗，并且当服务器执行给定的数据处理工作负载时测量机架消耗的功率。基于预测和测量的结果之间的差异，导出用于非数据处理开销的机架消耗的功率的度量。基于由非架构数据处理开销消耗的功率的功率的度量，有选择地将未来的数据处理工作负载分配给机架。基于这些指标，分配也可能在过道和/或数据中心层面进行。

3. 发明授权

US10310912B2 Assigning data processing workloads in data centers based on non-data processing overhead 有权
公开(公告)号：US10310912B2
公开(公告)日：2019-06-04
申请号：US14156250
申请日：2014-01-15
申请人： CA, INC.
发明人： Serguei Mankovskii , Douglas M. Neuse , Ramanjaneyulu Malisetti , Rajasekhar Gogula , Subhasis Khatua
IPC分类号： G06F9/48 , G06F9/50
摘要： Data processing workloads are selectively assigned within a data center and/or among data centers based on non-data processing overhead within the data center and/or among the data centers. Power consumption of a rack including servers is predicted based on data processing demands that are placed on the servers for a given data processing workload, and power consumed by the rack is measured when the servers are performing the given data processing workload. A metric of power consumed by the rack for non-data processing overhead is derived based on a difference between results of the predicting and the measuring. A future data processing workload is selectively assigned to the rack based on the metric of power of power consumed by the rack for the non-data processing overhead. Assignment may also take place at an aisle and/or data center level based on these metrics.

4. 发明申请

US20150227397A1 ENERGY EFFICIENT ASSIGNMENT OF WORKLOADS IN A DATACENTER 审中-公开
标题翻译：能力有效地分配DATACENTER中的工作量
公开(公告)号：US20150227397A1
公开(公告)日：2015-08-13
申请号：US14176948
申请日：2014-02-10
申请人： CA, Inc.
发明人： Rajasekhar Gogula , Serguei Mankovskii , Douglas Neuse , Ramanjaneyulu Malisetti , Subhasis Khatua
IPC分类号： G06F9/50 , G06N99/00
CPC分类号： G06F9/5094 , Y02D10/22
摘要： A computing workload is allocated amongst servers based on energy usage considerations. An energy consumption model is created for different server configurations. Based on the energy consumption models for the respective server configurations, different energy consumptions are predicted for executing a workload in corresponding different allocations of the workload on the servers. One of the allocations is selected based on the predicted energy consumptions. The selected allocation could minimize total energy use, reduce peak energy use, spread out energy use, etc.
摘要翻译：基于能量使用考虑，在服务器之间分配计算工作量。为不同的服务器配置创建一个能耗模型。基于各个服务器配置的能耗模型，预测不同的能量消耗用于在服务器上的相应不同的工作量分配中执行工作负载。其中一个分配是基于预测的能量消耗来选择的。所选择的配置可以最大限度地减少总能源消耗，减少能源使用峰值，分散能源等。

5. 发明授权

US09367422B2 Determining and using power utilization indexes for servers 有权
标题翻译：确定和使用服务器的功率利用指标
公开(公告)号：US09367422B2
公开(公告)日：2016-06-14
申请号：US14156217
申请日：2014-01-15
申请人： CA, INC.
发明人： Serguei Mankovskii , Subhasis Khatua , Douglas M. Neuse , Ramanjaneyulu Malisetti , Rajasekhar Gogula
IPC分类号： G06F1/26 , G06F11/34 , G06F11/30
CPC分类号： G06F11/3433 , G06F11/3003 , G06F11/3031 , G06F11/3062 , G06F11/3414 , G06F11/3452 , G06F11/3466 , Y02D10/34
摘要： A power utilization index is determined for a server that defines an amount of energy that is consumed by the server for a unit of workload performed by the server. Future power usage by the server may then be predicted based on the power utilization index and a projected workload demand on the server. Moreover, workload for the server may be selectively assigned in response to the predicting. The power utilization index may be determined by a obtaining measurements of power consumed by the server in response to various workloads. Measurements of workload demands placed on the server are also obtained for the workloads. The measurements of workload demands may separately account for demands placed upon a processor subsystem of the server, a memory subsystem of the server, a network communication subsystem of the server and a storage subsystem of the server, for the various workloads.
摘要翻译：为服务器确定功率利用率指标，该服务器定义服务器为服务器执行的工作负载单元所消耗的能量量。然后可以基于服务器上的功率利用率指标和预计的工作负载需求来预测服务器的未来功率使用。此外，可以响应于预测而选择性地分配服务器的工作负载。功率利用指数可以通过获得服务器响应各种工作负载消耗的功率的测量来确定。也为工作负载测量了对服务器的工作负载需求。工作负载需求的测量可以分别考虑服务器的处理器子系统，服务器的存储器子系统，服务器的网络通信子系统和服务器的存储子系统对于各种工作负载的需求。

6. 发明申请

US20150199250A1 DETERMINING AND USING POWER UTILIZATION INDEXES FOR SERVERS 有权
标题翻译：确定和使用服务器的功率利用指数
公开(公告)号：US20150199250A1
公开(公告)日：2015-07-16
申请号：US14156217
申请日：2014-01-15
申请人： CA, INC.
发明人： Serguei Mankovskii , Subhasis Khatua , Douglas M. Neuse , Ramanjaneyulu Malisetti , Rajasekhar Gogula
IPC分类号： G06F11/30
CPC分类号： G06F11/3433 , G06F11/3003 , G06F11/3031 , G06F11/3062 , G06F11/3414 , G06F11/3452 , G06F11/3466 , Y02D10/34
摘要： A power utilization index is determined for a server that defines an amount of energy that is consumed by the server for a unit of workload performed by the server. Future power usage by the server may then be predicted based on the power utilization index and a projected workload demand on the server. Moreover, workload for the server may be selectively assigned in response to the predicting. The power utilization index may be determined by a obtaining measurements of power consumed by the server in response to various workloads. Measurements of workload demands placed on the server are also obtained for the workloads. The measurements of workload demands may separately account for demands placed upon a processor subsystem of the server, a memory subsystem of the server, a network communication subsystem of the server and a storage subsystem of the server, for the various workloads.
摘要翻译：为服务器确定功率利用率指标，该服务器定义服务器为服务器执行的工作负载单元所消耗的能量量。然后可以基于服务器上的功率利用率指标和预计的工作负载需求来预测服务器的未来功率使用。此外，可以响应于预测而选择性地分配服务器的工作负载。功率利用指数可以通过获得服务器响应各种工作负载消耗的功率的测量来确定。也为工作负载测量了对服务器的工作负载需求。工作负载需求的测量可以分别考虑服务器的处理器子系统，服务器的存储器子系统，服务器的网络通信子系统和服务器的存储子系统对于各种工作负载的需求。

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