专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08489745B2 Optimizing power consumption by dynamic workload adjustment 失效
标题翻译：通过动态工作负载调整优化功耗
公开(公告)号：US08489745B2
公开(公告)日：2013-07-16
申请号：US12713776
申请日：2010-02-26
申请人： Nagapramod Mandagere , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Nagapramod Mandagere , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F15/173
CPC分类号： G06F1/329 , G06F1/26 , G06F1/3203 , G06F9/5088 , G06F9/5094 , Y02D10/22 , Y02D10/24 , Y02D10/32
摘要： A system and associated method for optimizing power consumption of a data center by dynamic workload adjustment. A current workload distribution of the data center is shifted to an optimal workload solution that provides acceptable level of service with the least amount of power consumption. The sum of power cost and migration cost that corresponds to the optimal workload solution is the lowest among all sums that correspond to respective candidate workload solutions. The power cost is determined by a maximum temperature of the data center and accompanying cooling cost for each candidate workload solution. The migration cost is determined by performance degradation that occurs during shifting a workload distribution of the data center from the current workload distribution to each candidate workload solution.
摘要翻译：一种用于通过动态工作负载调整优化数据中心功耗的系统和相关方法。数据中心的当前工作负载分配被转移到最佳工作负载解决方案，以最小的功耗消耗提供可接受的服务水平。对应于最佳工作负载解决方案的功率成本和迁移成本的总和是对应于各个候选工作负载解决方案的所有和中最小的。电力成本由每个候选工作负载解决方案的数据中心的最高温度和伴随的冷却成本决定。迁移成本取决于将数据中心的工作负载分配从当前工作负载分配转移到每个候选工作负载解决方案时发生的性能下降。

2. 发明申请

US20110213508A1 OPTIMIZING POWER CONSUMPTION BY DYNAMIC WORKLOAD ADJUSTMENT 失效
标题翻译：通过动态工作调整优化消耗功率
公开(公告)号：US20110213508A1
公开(公告)日：2011-09-01
申请号：US12713776
申请日：2010-02-26
申请人： Nagapramod Mandagere , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Nagapramod Mandagere , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F1/28 , G06Q10/00 , G06Q50/00
CPC分类号： G06F1/329 , G06F1/26 , G06F1/3203 , G06F9/5088 , G06F9/5094 , Y02D10/22 , Y02D10/24 , Y02D10/32
摘要： A system and associated method for optimizing power consumption of a data center by dynamic workload adjustment. A current workload distribution of the data center is shifted to an optimal workload solution that provides acceptable level of service with the least amount of power consumption. The sum of power cost and migration cost that corresponds to the optimal workload solution is the lowest among all sums that correspond to respective candidate workload solutions. The power cost is determined by a maximum temperature of the data center and accompanying cooling cost for each candidate workload solution. The migration cost is determined by performance degradation that occurs during shifting a workload distribution of the data center from the current workload distribution to each candidate workload solution.
摘要翻译：一种用于通过动态工作负载调整优化数据中心功耗的系统和相关方法。数据中心的当前工作负载分配被转移到最佳工作负载解决方案，以最小的功耗消耗提供可接受的服务水平。对应于最佳工作负载解决方案的功率成本和迁移成本的总和是对应于各个候选工作负载解决方案的所有和中最小的。电力成本由每个候选工作负载解决方案的数据中心的最高温度和伴随的冷却成本决定。迁移成本取决于将数据中心的工作负载分配从当前工作负载分配转移到每个候选工作负载解决方案时发生的性能下降。

3. 发明申请

US20100250501A1 STORAGE MANAGEMENT THROUGH ADAPTIVE DEDUPLICATION 有权
标题翻译：存储管理通过自适应校验
公开(公告)号：US20100250501A1
公开(公告)日：2010-09-30
申请号：US12411902
申请日：2009-03-26
申请人： Nagapramod Mandagere , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
发明人： Nagapramod Mandagere , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F12/02 , G06F12/00 , G06F17/30
CPC分类号： G06F17/30598 , G06F17/30489
摘要： One embodiment retrieves a first portion of a plurality of stored objects from at least one storage device. The embodiment further performs a base type deduplication estimation process on the first portion of stored objects. The embodiment still further categorizes the first portion of the plurality of stored objects into deduplication sets based on a deduplication relationship of each object of the plurality of stored objects with each of the estimated first plurality of deduplication chunk portions. The embodiment further combines deduplication sets into broad classes based on deduplication characteristics of the objects in the deduplication sets. The embodiment still further classifies a second portion of the plurality of stored objects into broad classes using classifiers. The embodiment further selects an appropriate deduplication approach for each categorized class.
摘要翻译：一个实施例从至少一个存储设备检索多个存储对象的第一部分。该实施例还对存储对象的第一部分执行基本类型的重复数据删除估计处理。该实施例还基于多个存储对象中的每个对象与所估计的第一多个重复数据删除块部分中的每一个的重复数据删除关系，进一步将多个存储对象的第一部分分类为重复数据删除集合。该实施例还将重复数据删除集合基于重复数据删除集中的对象的重复数据删除特性组合成大类。该实施例还使用分类器进一步将多个存储对象的第二部分分类为广泛类。该实施例进一步为每个分类的类选择适当的重复数据删除方法。

4. 发明授权

US08527998B2 Continuous optimization of archive management scheduling by use of integrated content-resource analytic model 失效
标题翻译：通过使用综合内容资源分析模型持续优化归档管理调度
公开(公告)号：US08527998B2
公开(公告)日：2013-09-03
申请号：US13569620
申请日：2012-08-08
申请人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F9/455 , G06F9/46 , G06F7/00
CPC分类号： G06F9/4881 , G06F11/1402
摘要： A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要翻译：一种用于连续优化数据归档管理调度的系统和相关方法。作业调度器从归档管理系统接收任务信息，副本放置数据，基础架构拓扑数据和资源性能数据的输入。作业调度器根据接收到的输入来建立表示数据内容，软件程序，物理设备和档案管理系统在各种顶点级别中的通信能力的流网络。模拟流网络中的最优路径计算为初始调度，归档管理系统根据初始调度执行任务。监视计划任务的操作，作业调度程序根据监视的操作和预定义的启发式反馈来生成新的调度。

5. 发明申请

US20120304182A1 CONTINUOUS OPTIMIZATION OF ARCHIVE MANAGEMENT SCHEDULING BY USE OF INTEGRATED CONTENT-RESOURCE ANALYTIC MODEL 失效
标题翻译：使用综合内容资源分析模型连续优化存档管理调度
公开(公告)号：US20120304182A1
公开(公告)日：2012-11-29
申请号：US13569620
申请日：2012-08-08
申请人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F9/46
CPC分类号： G06F9/4881 , G06F11/1402
摘要： A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要翻译：一种用于连续优化数据归档管理调度的系统和相关方法。作业调度器从归档管理系统接收任务信息，副本放置数据，基础架构拓扑数据和资源性能数据的输入。作业调度器根据接收到的输入来建立表示数据内容，软件程序，物理设备和档案管理系统在各种顶点级别中的通信能力的流网络。模拟流网络中的最优路径计算为初始调度，归档管理系统根据初始调度执行任务。监视计划任务的操作，作业调度程序根据监视的操作和预定义的启发式反馈来生成新的调度。

6. 发明授权

US08276148B2 Continuous optimization of archive management scheduling by use of integrated content-resource analytic model 失效
标题翻译：通过使用综合内容资源分析模型持续优化归档管理调度
公开(公告)号：US08276148B2
公开(公告)日：2012-09-25
申请号：US12631247
申请日：2009-12-04
申请人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F9/46 , G06F9/45 , G06Q10/00
CPC分类号： G06F9/4881 , G06F11/1402
摘要： A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要翻译：一种用于连续优化数据归档管理调度的系统和相关方法。作业调度器从归档管理系统接收任务信息，副本放置数据，基础架构拓扑数据和资源性能数据的输入。作业调度器根据接收到的输入来建立表示数据内容，软件程序，物理设备和档案管理系统在各种顶点级别中的通信能力的流网络。模拟流网络中的最优路径计算为初始调度，归档管理系统根据初始调度执行任务。监视计划任务的操作，作业调度程序根据监视的操作和预定义的启发式反馈来生成新的调度。

7. 发明授权

US08037349B2 Data replication based on capacity optimization 有权
标题翻译：基于容量优化的数据复制
公开(公告)号：US08037349B2
公开(公告)日：2011-10-11
申请号：US12549847
申请日：2009-08-28
申请人： Nagapramod S. Mandagere , Seshashayee S. Murthy , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
发明人： Nagapramod S. Mandagere , Seshashayee S. Murthy , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F11/00
CPC分类号： G06F11/1435 , G06F11/1453
摘要： A system and associated method for replicating data based on capacity optimization. A local node receives the data associated with a key. The local node within a local domain communicates with nodes of remote domains in a system through a communication network. Each domain has its own distributed hash table that partitions key space and assigns a certain key range to an owner node within the domain. For new data, the local node queries owner nodes of domains in the system progressively from the local domain to remote domains for a duplicate of the new data. Depending on a result returned by owner nodes and factors for replication strategies, the local node determines a replication strategy and records the new data in the local node pursuant to the replication strategy.
摘要翻译：一种基于容量优化来复制数据的系统和相关方法。本地节点接收与密钥相关联的数据。本地域内的本地节点通过通信网络与系统中的远程域的节点进行通信。每个域都有自己的分布式哈希表，用于分区密钥空间，并为域内的所有者节点分配一定的密钥范围。对于新数据，本地节点从本地域向远程域逐行查询系统中的域的所有者节点，以获取新数据的副本。根据所有者节点返回的结果和复制策略的因素，本地节点确定复制策略，并根据复制策略将新数据记录在本地节点中。

8. 发明申请

US20110138391A1 CONTINUOUS OPTIMIZATION OF ARCHIVE MANAGEMENT SCHEDULING BY USE OF INTEGRATED CONTENT-RESOURCE ANALYTIC MODEL 失效
标题翻译：使用综合内容资源分析模型连续优化存档管理调度
公开(公告)号：US20110138391A1
公开(公告)日：2011-06-09
申请号：US12631247
申请日：2009-12-04
申请人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
发明人： Brian Cho , Kavita Chavda , Mickey Iqbal , Seshashayee S. Murthy , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F9/46
CPC分类号： G06F9/4881 , G06F11/1402
摘要： A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.
摘要翻译：一种用于连续优化数据归档管理调度的系统和相关方法。作业调度器从归档管理系统接收任务信息，副本放置数据，基础架构拓扑数据和资源性能数据的输入。作业调度器根据接收到的输入来建立表示数据内容，软件程序，物理设备和档案管理系统在各种顶点级别中的通信能力的流网络。模拟流网络中的最优路径计算为初始调度，归档管理系统根据初始调度执行任务。监视计划任务的操作，作业调度程序根据监视的操作和预定义的启发式反馈来生成新的调度。

9. 发明授权

US08140491B2 Storage management through adaptive deduplication 有权
标题翻译：通过自适应重复数据删除进行存储管理
公开(公告)号：US08140491B2
公开(公告)日：2012-03-20
申请号：US12411902
申请日：2009-03-26
申请人： Nagapramod Mandagere , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
发明人： Nagapramod Mandagere , Mark A. Smith , Sandeep M. Uttamchandani , Pin Zhou
IPC分类号： G06F7/04 , G06F17/00
CPC分类号： G06F17/30598 , G06F17/30489
摘要： One embodiment retrieves a first portion of a plurality of stored objects from at least one storage device. The embodiment further performs a base type deduplication estimation process on the first portion of stored objects. The embodiment still further categorizes the first portion of the plurality of stored objects into deduplication sets based on a deduplication relationship of each object of the plurality of stored objects with each of the estimated first plurality of deduplication chunk portions. The embodiment further combines deduplication sets into broad classes based on deduplication characteristics of the objects in the deduplication sets. The embodiment still further classifies a second portion of the plurality of stored objects into broad classes using classifiers. The embodiment further selects an appropriate deduplication approach for each categorized class.
摘要翻译：一个实施例从至少一个存储设备检索多个存储对象的第一部分。该实施例还对存储对象的第一部分执行基本类型的重复数据删除估计处理。该实施例还基于多个存储对象中的每个对象与所估计的第一多个重复数据删除块部分中的每一个的重复数据删除关系，进一步将多个存储对象的第一部分分类为重复数据删除集合。该实施例还将重复数据删除集合基于重复数据删除集中的对象的重复数据删除特性组合成大类。该实施例还使用分类器进一步将多个存储对象的第二部分分类为广泛类。该实施例进一步为每个分类的类选择适当的重复数据删除方法。

10. 发明授权

US09679029B2 Optimizing storage cloud environments through adaptive statistical modeling 有权
公开(公告)号：US09679029B2
公开(公告)日：2017-06-13
申请号：US12942011
申请日：2010-11-08
申请人： Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh , Sandeep M. Uttamchandani
发明人： Richard Ayala , Kavita Chavda , Sandeep Gopisetty , Seshashayee S. Murthy , Aameek Singh , Sandeep M. Uttamchandani
IPC分类号： G06F17/30
CPC分类号： G06F17/30557
摘要： Embodiments of the present invention provide an approach for adapting an information extraction middleware for a clustered computing environment (e.g., a cloud environment) by creating and managing a set of statistical models generated from performance statistics of operating devices within the clustered computing environment. This approach takes into account the required accuracy in modeling, including computation cost of modeling, to pick the best modeling solution at a given point in time. When higher accuracy is desired (e.g., nearing workload saturation), the approach adapts to use an appropriate modeling algorithm. Adapting statistical models to the data characteristics ensures optimal accuracy with minimal computation time and resources for modeling. This approach provides intelligent selective refinement of models using accuracy-based and operating probability-based triggers to optimize the clustered computing environment, i.e., maximize accuracy and minimize computation time.

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