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

US08612368B2 Systems and methods for processing machine learning algorithms in a MapReduce environment 失效
标题翻译：在MapReduce环境中处理机器学习算法的系统和方法
公开(公告)号：US08612368B2
公开(公告)日：2013-12-17
申请号：US13038086
申请日：2011-03-01
申请人： Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
发明人： Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
IPC分类号： G06F15/18
CPC分类号： G06F9/4843 , G06F8/427
摘要： Systems and methods for processing Machine Learning (ML) algorithms in a MapReduce environment are described. In one embodiment of a method, the method includes receiving a ML algorithm to be executed in the MapReduce environment. The method further includes parsing the ML algorithm into a plurality of statement blocks in a sequence, wherein each statement block comprises a plurality of basic operations (hops). The method also includes automatically determining an execution plan for each statement block, wherein at least one of the execution plans comprises one or more low-level operations (lops). The method further includes implementing the execution plans in the sequence of the plurality of the statement blocks.
摘要翻译：描述了MapReduce环境中处理机器学习（ML）算法的系统和方法。在一种方法的一个实施例中，该方法包括接收要在MapReduce环境中执行的ML算法。该方法还包括将ML算法解析为序列中的多个语句块，其中每个语句块包括多个基本操作（跳）。该方法还包括自动确定每个语句块的执行计划，其中至少一个执行计划包括一个或多个低级操作（lops）。该方法还包括以多个语句块的顺序来实现执行计划。

2. 发明申请

US20120226639A1 Systems and Methods for Processing Machine Learning Algorithms in a MapReduce Environment 失效
标题翻译：在MapReduce环境中处理机器学习算法的系统和方法
公开(公告)号：US20120226639A1
公开(公告)日：2012-09-06
申请号：US13038086
申请日：2011-03-01
申请人： Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
发明人： Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
IPC分类号： G06F15/18
CPC分类号： G06F9/4843 , G06F8/427
摘要： Systems and methods for processing Machine Learning (ML) algorithms in a MapReduce environment are described. In one embodiment of a method, the method includes receiving a ML algorithm to be executed in the MapReduce environment. The method further includes parsing the ML algorithm into a plurality of statement blocks in a sequence, wherein each statement block comprises a plurality of basic operations (hops). The method also includes automatically determining an execution plan for each statement block, wherein at least one of the execution plans comprises one or more low-level operations (lops). The method further includes implementing the execution plans in the sequence of the plurality of the statement blocks.
摘要翻译：描述了MapReduce环境中处理机器学习（ML）算法的系统和方法。在一种方法的一个实施例中，该方法包括接收要在MapReduce环境中执行的ML算法。该方法还包括将ML算法解析为序列中的多个语句块，其中每个语句块包括多个基本操作（跳）。该方法还包括自动确定每个语句块的执行计划，其中至少一个执行计划包括一个或多个低级操作（lops）。该方法还包括以多个语句块的顺序来实现执行计划。

3. 发明申请

US20120011518A1 SHARING WITH PERFORMANCE ISOLATION BETWEEN TENANTS IN A SOFTWARE-AS-A SERVICE SYSTEM 失效
标题翻译：在软件服务系统中分享平台之间的性能分离
公开(公告)号：US20120011518A1
公开(公告)日：2012-01-12
申请号：US12832559
申请日：2010-07-08
申请人： Ning Duan , Amol Ghoting , Ramesh Natarajan
发明人： Ning Duan , Amol Ghoting , Ramesh Natarajan
IPC分类号： G06F9/46
CPC分类号： G06F9/5061 , G06F9/505
摘要： An apparatus hosting a multi-tenant software-as-a-service (SaaS) system maximizes resource sharing capability of the SaaS system. The apparatus receives service requests from multiple users belonging to different tenants of the multi-tenant SaaS system. The apparatus partitions the resources in the SaaS system into different resource groups. Each resource group handles a category of the service requests. The apparatus estimates costs of the service requests of the users. The apparatus dispatches service requests to resource groups according to the estimated costs, whereby the resources are shared, among the users, without impacting each other.
摘要翻译：托管多租户软件即服务（SaaS）系统的设备最大限度地提高了SaaS系统的资源共享能力。该设备从属于多租户SaaS系统的不同租户的多个用户接收服务请求。该设备将SaaS系统中的资源分为不同的资源组。每个资源组都处理一个服务请求的类别。该装置估计用户的服务请求的成本。该设备根据估计的成本向服务请求分配资源，从而在用户之间共享资源，而不会相互影响。

4. 发明授权

US08539078B2 Isolating resources between tenants in a software-as-a-service system using the estimated costs of service requests 失效
标题翻译：使用服务请求的估计成本在软件即服务系统中隔离租户之间的资源
公开(公告)号：US08539078B2
公开(公告)日：2013-09-17
申请号：US12832559
申请日：2010-07-08
申请人： Ning Duan , Amol Ghoting , Ramesh Natarajan
发明人： Ning Duan , Amol Ghoting , Ramesh Natarajan
IPC分类号： G06F7/04 , G06F15/173 , G06F15/177
CPC分类号： G06F9/5061 , G06F9/505
摘要： An apparatus hosting a multi-tenant software-as-a-service (SaaS) system maximizes resource sharing capability of the SaaS system. The apparatus receives service requests from multiple users belonging to different tenants of the multi-tenant SaaS system. The apparatus partitions the resources in the SaaS system into different resource groups. Each resource group handles a category of the service requests. The apparatus estimates costs of the service requests of the users. The apparatus dispatches service requests to resource groups according to the estimated costs, whereby the resources are shared, among the users, without impacting each other.
摘要翻译：托管多租户软件即服务（SaaS）系统的设备最大限度地提高了SaaS系统的资源共享能力。该设备从属于多租户SaaS系统的不同租户的多个用户接收服务请求。该设备将SaaS系统中的资源分为不同的资源组。每个资源组都处理一个服务请求的类别。该装置估计用户的服务请求的成本。该设备根据估计的成本向服务请求分配资源，从而在用户之间共享资源，而不会相互影响。

5. 发明申请

US20060149766A1 Method and an apparatus to improve processor utilization in data mining 审中-公开
标题翻译：提高数据挖掘中处理器利用率的方法和装置
公开(公告)号：US20060149766A1
公开(公告)日：2006-07-06
申请号：US11026775
申请日：2004-12-30
申请人： Amol Ghoting , Anthony Nguyen , Daehyun Kim , Yen-Kuang Chen
发明人： Amol Ghoting , Anthony Nguyen , Daehyun Kim , Yen-Kuang Chen
IPC分类号： G06F17/30
CPC分类号： G06F16/2465
摘要： A method and an apparatus to improve processor utilization in data mining have been disclosed. In one embodiment, the method includes representing a transaction data set with a prefix tree, and allocating the prefix tree in a depth first search order in a memory of the computing system during data mining of the transaction data set. Other embodiments have been claimed and described.
摘要翻译：已经公开了一种提高数据挖掘中处理器利用率的方法和装置。在一个实施例中，该方法包括用前缀树表示事务数据集，并且在事务数据集的数据挖掘期间，在计算系统的存储器中以深度第一搜索顺序分配前缀树。已经要求和描述了其它实施例。

6. 发明申请

US20120173136A1 ADVANCED ROUTING OF VEHICLE FLEETS 有权
标题翻译：高级车辆的路线
公开(公告)号：US20120173136A1
公开(公告)日：2012-07-05
申请号：US12984180
申请日：2011-01-04
申请人： Amol Ghoting , Deepak S. Turaga , Laura Wynter
发明人： Amol Ghoting , Deepak S. Turaga , Laura Wynter
IPC分类号： G01C21/36
CPC分类号： G01C21/3453 , G08G1/202
摘要： A system, method and computer program product for obtaining a traffic route for a vehicle. The system receives information of a current location of the vehicle. The system determines a destination location or destination region of the vehicle. The system computes a plurality of available traffic routes from the current location to the destination location or to the destination region. The system estimates a potential demand for at least one potential passenger from the current location to the destination location or to the destination region per each available traffic route. The system recommends, to a driver of the vehicle, an available traffic route that has a highest estimated potential demand among a plurality of the available traffic routes.
摘要翻译：一种用于获得车辆的交通路线的系统，方法和计算机程序产品。系统接收车辆当前位置的信息。系统确定车辆的目的地位置或目的地区域。该系统计算从当前位置到目的地位置或目的地区域的多个可用业务路由。该系统估计对于每个可用的交通路线，从当前位置到目的地位置或目的地区域的至少一个潜在乘客的潜在需求。系统向车辆的驾驶员建议在多个可用交通路线中具有最高估计潜在需求的可用交通路线。

7. 发明授权

US08738289B2 Advanced routing of vehicle fleets 有权
标题翻译：车队高级路由
公开(公告)号：US08738289B2
公开(公告)日：2014-05-27
申请号：US12984180
申请日：2011-01-04
申请人： Amol Ghoting , Deepak S. Turaga , Laura Wynter
发明人： Amol Ghoting , Deepak S. Turaga , Laura Wynter
IPC分类号： G01C21/00
CPC分类号： G01C21/3453 , G08G1/202
摘要： A system, method and computer program product for obtaining a traffic route for a vehicle. The system receives information of a current location of the vehicle. The system determines a destination location or destination region of the vehicle. The system computes a plurality of available traffic routes from the current location to the destination location or to the destination region. The system estimates a potential demand for at least one potential passenger from the current location to the destination location or to the destination region per each available traffic route. The system recommends, to a driver of the vehicle, an available traffic route that has a highest estimated potential demand among a plurality of the available traffic routes.
摘要翻译：一种用于获得车辆的交通路线的系统，方法和计算机程序产品。系统接收车辆当前位置的信息。系统确定车辆的目的地位置或目的地区域。该系统计算从当前位置到目的地位置或目的地区域的多个可用业务路由。该系统估计对于每个可用的交通路线，从当前位置到目的地位置或目的地区域的至少一个潜在乘客的潜在需求。系统向车辆的驾驶员建议在多个可用交通路线中具有最高估计潜在需求的可用交通路线。

8. 发明申请

US20130024159A1 PARALLEL OUTLIER DETECTION 审中-公开
标题翻译：并行输出检测
公开(公告)号：US20130024159A1
公开(公告)日：2013-01-24
申请号：US13186777
申请日：2011-07-20
申请人： Amol Ghoting , Ferhan Ture
发明人： Amol Ghoting , Ferhan Ture
IPC分类号： G06F19/00
CPC分类号： G06K9/6223 , G06K9/6284
摘要： A method, system and computer program product for detecting outliers in a set of data points. In one embodiment, the method comprises partitioning the set of data points into a plurality of bins with each of the data points assigned to a respective one of the bins. A plurality of local lists are formed in parallel identifying points in the bins as outliers, and the local lists are merged into a global list to identify one or more of the points as outliers of the data set. Embodiments of the invention provide an outlier detection system that can parallelize in two levels. The dataset is split into partitions, called bins, and outliers are found in each bin in parallel. The execution of a single bin is also parallelized. Embodiments of the invention can scale to very large datasets by these two modes of parallelism.
摘要翻译：一种用于检测一组数据点中的异常值的方法，系统和计算机程序产品。在一个实施例中，该方法包括将该组数据点划分成多个箱，其中每个数据点被分配给相应的一个仓。多个本地列表被形成为并行的区域中的识别点作为异常值，并且本地列表被合并到全局列表中以将一个或多个点识别为数据集的异常值。本发明的实施例提供了可以在两个级别并行化的异常值检测系统。数据集被分割成分区，称为分区，并且在每个bin中并行找到异常值。单个仓的执行也是并行的。本发明的实施例可以通过这两种并行模式来扩展到非常大的数据集。

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