公开(公告)号：US20120078417A1

公开(公告)日：2012-03-29

申请号：US12892532

申请日：2010-09-28

申请人： Jonathan Hudson Connell, II ,  Rajarshi Das ,  Hendrik F. Hamann ,  Canturk Isci ,  Jeffrey Owen Kephart ,  Levente Ioan Klein ,  Jonathan Lenchner ,  Michael Alan Schappert

发明人： Jonathan Hudson Connell, II ,  Rajarshi Das ,  Hendrik F. Hamann ,  Canturk Isci ,  Jeffrey Owen Kephart ,  Levente Ioan Klein ,  Jonathan Lenchner ,  Michael Alan Schappert

IPC分类号： B25J9/00

CPC分类号： B25J5/00 ,  B25J13/087 ,  G01K3/14 ,  G01K17/20 ,  G05D1/024 ,  G05D1/0246 ,  G05D1/0255 ,  G05D1/0274 ,  G05D2201/0207

摘要： Techniques for energy and environmental leak detection in an indoor environment using one or more mobile robots are provided. An energy leak detection system is provided. The energy leak detection system includes one or more mobile robots configured to move throughout at least a portion of a building and to take temperature and air flow measurements at a plurality of locations within the building. An environmental leak detection system is also provided. The environmental leak detection system includes one or more mobile robots configured to move throughout at least a portion of a building and to take airborne matter measurements at a plurality of locations within the building.

摘要翻译： 提供了使用一个或多个移动机器人在室内环境中进行能量和环境泄漏检测的技术。 提供了能量泄漏检测系统。 能量泄漏检测系统包括一个或多个移动机器人，其构造成在建筑物的至少一部分内移动，并且在建筑物内的多个位置处进行温度和空气流量测量。 还提供环境泄漏检测系统。 环境泄漏检测系统包括一个或多个移动机器人，其构造成移动到建筑物的至少一部分内并且在建筑物内的多个位置处进行空中物体测量。

公开(公告)号：US20130159351A1

公开(公告)日：2013-06-20

申请号：US13325758

申请日：2011-12-14

申请人： Hendrik F. Hamann ,  Jeffrey Owen Kephart ,  Jonathan Lenchner ,  Peini Liu ,  Bo Yang

发明人： Hendrik F. Hamann ,  Jeffrey Owen Kephart ,  Jonathan Lenchner ,  Peini Liu ,  Bo Yang

IPC分类号： G06F17/30

CPC分类号： G06Q10/087

摘要： Techniques for mapping between data models where objects represented in the data models include common physical objects or assets are provided. In one aspect, a method for mapping between data models, each of which describes a location of objects in a physical area includes the following steps. Common attributes are found in each of the data models. Location attributes are found among the common attributes in each of the data models, i.e., those attributes that describe the location of the objects in the physical area. The location attributes are used to identify a given one of the objects common to each of the data models, based on a placement of the given object by the data models at a same location (at a same time) in the physical area to establish a common identity of the object within the models. Attributes other than location attributes may then be mapped.

摘要翻译： 提供数据模型之间的映射技术，其中数据模型中表示的对象包括公共物理对象或资产。 在一个方面，一种用于在数据模型之间映射的方法，每个数据模型描述物理区域中的对象的位置包括以下步骤。 在每个数据模型中都有公共属性。 在每个数据模型中的公共属性之间找到位置属性，即描述物理区域中的对象位置的那些属性。 位置属性用于基于在物理区域中的相同位置（同时）处的数据模型的给定对象的位置来识别每个数据模型共同的给定对象之一，以建立 模型中对象的共同身份。 然后可以映射除位置属性之外的属性。

公开(公告)号：US20080263559A1

公开(公告)日：2008-10-23

申请号：US12164896

申请日：2008-06-30

申请人： RAJARSHI DAS ,  Jeffrey Owen Kephart ,  Gerald James Tesauro ,  William Edward Walsh

发明人： RAJARSHI DAS ,  Jeffrey Owen Kephart ,  Gerald James Tesauro ,  William Edward Walsh

IPC分类号： G06F9/50

CPC分类号： G06F9/5027 ,  G06F9/5083

摘要： In one embodiment, the present invention is a method for allocation of finite computational resources amongst multiple entities, wherein the method is structured to optimize the business value of an enterprise providing computational services. One embodiment of the inventive method involves establishing, for each entity, a service level utility indicative of how much business value is obtained for a given level of computational system performance. The service-level utility for each entity is transformed into a corresponding resource-level utility indicative of how much business value may be obtained for a given set or amount of resources allocated to the entity. The resource-level utilities for each entity are aggregated, and new resource allocations are determined and executed based upon the resource-level utility information. The invention is thereby capable of making rapid allocation decisions, according to time-varying need or value of the resources by each of the entities.

摘要翻译： 在一个实施例中，本发明是一种用于在多个实体之间分配有限计算资源的方法，其中该方法被构造为优化提供计算服务的企业的商业价值。 本发明方法的一个实施例涉及为每个实体建立一个服务级别实用程序，其指示针对给定级别的计算系统性能获得多少商业价值。 每个实体的服务级别实用程序被转换成相应的资源级实用程序，指示可以为给定的集合或分配给该实体的资源量获得多少商业价值。 聚合每个实体的资源级实用程序，并根据资源级实用程序信息确定和执行新的资源分配。 因此，本发明能够根据每个实体的时间变化需要或资源价值进行快速分配决定。

公开(公告)号：US07194445B2

公开(公告)日：2007-03-20

申请号：US10252979

申请日：2002-09-20

申请人： Hoi Yeung Chan ,  Rajarshi Das ,  Jeffrey Owen Kephart ,  Alla Segal

发明人： Hoi Yeung Chan ,  Rajarshi Das ,  Jeffrey Owen Kephart ,  Alla Segal

IPC分类号： G06E1/00 ,  G06E3/00 ,  G06F15/18 ,  G06G7/00

CPC分类号： G06F11/079 ,  G06F11/0709 ,  G06F11/0775 ,  G06F11/0781 ,  G06F11/0793 ,  G06F11/2257 ,  G06F11/3476 ,  G06F2201/86

摘要： A method, computer program product, and data processing system for recognizing, tracing, diagnosing, and repairing problems in an autonomic computing system is disclosed. Rules and courses of actions to follow in logging data, in diagnosing faults (or threats of faults), and in treating faults (or threats of faults) are formulated using an adaptive inference and action system. The adaptive inference and action system includes techniques for conflict resolution that generate, prioritize, modify, and remove rules based on environment-specific information, accumulated time-sensitive data, actions taken, and the effectiveness of those actions. Thus, the present invention enables a dynamic, autonomic computing system to formulate its own strategy for self-administration, even in the face of changes in the configuration of the system.

摘要翻译： 公开了一种用于识别，跟踪，诊断和修复自主计算系统中的问题的方法，计算机程序产品和数据处理系统。 使用自适应推理和行动系统制定在记录数据，诊断故障（或故障的威胁）以及处理故障（或故障的威胁）中遵循的行为规则和课程。 自适应推理和行动系统包括基于环境特定信息，累积的时间敏感数据，采取的行动以及这些行为的有效性来生成，优先排列，修改和删除规则的冲突解决技术。 因此，本发明使得动态的自主计算系统能够制定自己的自我管理策略，即使面对系统的配置的变化。

公开(公告)号：US08352951B2

公开(公告)日：2013-01-08

申请号：US12164896

申请日：2008-06-30

申请人： Rajarshi Das ,  Jeffrey Owen Kephart ,  Gerald James Tesauro ,  William Edward Walsh

发明人： Rajarshi Das ,  Jeffrey Owen Kephart ,  Gerald James Tesauro ,  William Edward Walsh

IPC分类号： G06F9/46 ,  G06F15/173

CPC分类号： G06F9/5027 ,  G06F9/5083

摘要： In one embodiment, the present invention is a method for allocation of finite computational resources amongst multiple entities, wherein the method is structured to optimize the business value of an enterprise providing computational services. One embodiment of the inventive method involves establishing, for each entity, a service level utility indicative of how much business value is obtained for a given level of computational system performance. The service-level utility for each entity is transformed into a corresponding resource-level utility indicative of how much business value may be obtained for a given set or amount of resources allocated to the entity. The resource-level utilities for each entity are aggregated, and new resource allocations are determined and executed based upon the resource-level utility information. The invention is thereby capable of making rapid allocation decisions, according to time-varying need or value of the resources by each of the entities.

摘要翻译： 在一个实施例中，本发明是一种用于在多个实体之间分配有限计算资源的方法，其中该方法被构造为优化提供计算服务的企业的商业价值。 本发明方法的一个实施例涉及为每个实体建立一个服务级别实用程序，其指示针对给定级别的计算系统性能获得多少商业价值。 每个实体的服务级别实用程序被转换成相应的资源级实用程序，指示可以为给定的集合或分配给该实体的资源量获得多少商业价值。 聚合每个实体的资源级实用程序，并根据资源级实用程序信息确定和执行新的资源分配。 因此，本发明能够根据每个实体的时间变化需要或资源价值进行快速分配决定。

公开(公告)号：US08032615B2

公开(公告)日：2011-10-04

申请号：US12126291

申请日：2008-05-23

申请人： Saurabh Bagchi ,  Rajarshi Das ,  Yixin Diao ,  Marc Adam Kaplan ,  Jeffrey Owen Kephart

发明人： Saurabh Bagchi ,  Rajarshi Das ,  Yixin Diao ,  Marc Adam Kaplan ,  Jeffrey Owen Kephart

IPC分类号： G06F15/177

CPC分类号： G06F11/3447 ,  G06F11/3409 ,  G06F11/3452 ,  G06F2201/81 ,  G06F2201/86

摘要： A method and system performs dynamic online multi-parameter optimization for autonomic computing systems. A simplex is maintained. The system's performance is measured for the particular setting of configuration parameters associated with each point in the simplex. A new sample point is determined using the geometric transformations of the simplex. A current best point in the simplex can be resampled to determine if the environment has changed. If a sufficiently different utility value is obtained from a previously sampled utility value for the point in the simplex, the simplex is expanded. If the difference is not sufficient enough, then contraction of the simplex is performed.

摘要翻译： 一种方法和系统对自主计算系统进行动态在线多参数优化。 保持简单。 系统的性能是针对单纯形中与每个点相关联的配置参数的特定设置进行测量的。 使用单纯形的几何变换确定新的采样点。 可以对单纯形中的当前最佳点进行重新采样，以确定环境是否已更改。 如果从单纯形中的点的先前采样的效用值获得足够不同的效用值，则单纯形将被扩展。 如果差异不够，则进行单纯形状的收缩。

公开(公告)号：US20080221858A1

公开(公告)日：2008-09-11

申请号：US12126291

申请日：2008-05-23

申请人： Saurabh Bagchi ,  Rajarshi Das ,  Yixin Diao ,  Marc Adam Kaplan ,  Jeffrey Owen Kephart

发明人： Saurabh Bagchi ,  Rajarshi Das ,  Yixin Diao ,  Marc Adam Kaplan ,  Jeffrey Owen Kephart

IPC分类号： G06F9/45

CPC分类号： G06F11/3447 ,  G06F11/3409 ,  G06F11/3452 ,  G06F2201/81 ,  G06F2201/86

摘要： An improved method and system for performing dynamic online multi-parameter optimization for autonomic computing systems are provided. With the method and system of the present invention, a simplex, i.e. a set of points in the parameter space that has been directly sampled, is maintained. The system's performance with regard to a particular utility value is measured for the particular setting of configuration parameters associated with each point in the simplex. A new sample point is determined using the geometric transformations of the simplex. The method and system provide mechanisms for limiting the size of the simplex that is generated through these geometric transformations so that the present invention may be implemented in noisy environments in which the same configuration settings may lead to different results with regard to the utility value. In addition, mechanisms are provided for resampling a current best point in the simplex to determine if the environment has changed. If a sufficiently different utility value is obtained from a previously sampled utility value for the point in the simplex, then rather than contracting, the simplex is expanded. If the difference between utility values is not sufficient enough, then contraction of the simplex is performed. In addition, in order to allow for both real and integer valued parameters in the simplex, a mechanism is provided by which invalid valued parameters that are generated by geometric transformations being performed on the simplex are mapped to a nearest valid value. Similarly, parameter values that violate constraints are mapped to values that satisfy constraints taking care that the dimensionality of the simplex is not reduced.

摘要翻译： 提供了一种用于自动计算系统执行动态在线多参数优化的改进方法和系统。 利用本发明的方法和系统，维持单纯形，即直接采样的参数空间中的一组点。 关于特定效用值的系统的性能是针对与单工中的每个点相关联的配置参数的特定设置进行测量的。 使用单纯形的几何变换确定新的采样点。 该方法和系统提供了用于限制通过这些几何变换产生的单工的尺寸的机制，使得本发明可以在噪声环境中实现，其中相同的配置设置可能导致关于效用值的不同结果。 此外，还提供了用于对单纯形中当前最佳点进行重新采样以确定环境是否已更改的机制。 如果从单纯形中的点的先前采样的效用值获得足够不同的效用值，则而不是收缩，则单纯形被扩展。 如果效用值之间的差异不足够，则单纯形的收缩被执行。 此外，为了允许单纯形中的实数和整数值参数，提供了一种机制，通过这种机制，通过在单纯形上执行的几何变换生成的无效值参数被映射到最接近的有效值。 类似地，违反约束的参数值被映射到满足约束的值，注意单纯形的维度不会减小。

公开(公告)号：US20160019606A1

公开(公告)日：2016-01-21

申请号：US14870518

申请日：2015-09-30

申请人： Shang Qing Guo ,  Jeffrey Owen Kephart ,  Jonathan Lenchner

发明人： Shang Qing Guo ,  Jeffrey Owen Kephart ,  Jonathan Lenchner

IPC分类号： G06Q30/02

摘要： Methods and apparatus are provided for the dynamic placement, management and monitoring of Internet advertising. A provider of Internet content distributes the Internet content by embedding an advertisement placeholder in the Internet content; and provides the Internet content to an aggregator web site. The aggregator web site presents the Internet content to at least one end user with at least one advertisement in the advertisement placeholder. The advertisement placeholder is processed by a third party agent to automatically share revenue from the at least one advertisement with the provider of the Internet content and a provider of the aggregator web site. The advertisement placeholder can optionally be embedded in the Internet content using one or more templates. The third party agent also evaluates the content and at least one policy of multiple parties to identify at least one advertisement to present in the advertisement placeholder. The advertisement placeholder embodies a three party agreement between the provider of the Internet content, the provider of the aggregator web site and at least one advertiser.

摘要翻译： 为互联网广告的动态放置，管理和监控提供了方法和设备。 互联网内容提供商通过在互联网内容中嵌入广告占位符来分发互联网内容; 并将互联网内容提供给聚合器网站。 聚合器网站将广告占位符中的至少一个广告的互联网内容呈现给至少一个终端用户。 广告占位符由第三方代理进行处理，以与互联网内容的提供者和聚合者网站的提供者自动分享来自至少一个广告的收入。 广告占位符可以可选地使用一个或多个模板嵌入到因特网内容中。 第三方代理还评估多方的内容和至少一个策略，以识别出在广告占位符中呈现的至少一个广告。 广告占位符体现了互联网内容提供商，聚合者网站提供商和至少一个广告客户之间的三方协议。

公开(公告)号：US08134724B2

公开(公告)日：2012-03-13

申请号：US11685732

申请日：2007-03-13

申请人： Jeffrey Owen Kephart ,  Jonathan Lenchner ,  Frederick Cole Mintzer ,  Michael Wilbur Munger ,  Jennifer Q. Trelewicz

发明人： Jeffrey Owen Kephart ,  Jonathan Lenchner ,  Frederick Cole Mintzer ,  Michael Wilbur Munger ,  Jennifer Q. Trelewicz

IPC分类号： G06F3/12

CPC分类号： G06F3/1239 ,  G06F3/1222 ,  G06F3/1255 ,  G06F3/1288 ,  G06Q30/0261 ,  G06Q30/0269

摘要： Disclosed is a system and method for optimizing submission of output jobs to a network of output devices, using an output job manager to assign jobs to devices. The assignments are done automatically, based on policies associated with users, output devices, organizations responsible for the output devices, and the system as a whole. User output preferences are expressed as one or more user policies. System and organizational constraints associated with users and output devices and the managing of groups of output devices are also expressed as policies. An optimizing scheduler calculates tradeoffs between user preferences, and factors in constraints to optimize submission of jobs to output devices, and to optimize use and wait times on the output devices.

摘要翻译： 公开了一种用于优化将输出作业提交给输出设备的网络的系统和方法，其使用输出作业管理器将作业分配给设备。 这些分配是根据与用户，输出设备，负责输出设备的组织以及系统整体相关的策略自动完成的。 用户输出首选项表示为一个或多个用户策略。 与用户和输出设备相关联的系统和组织约束以及输出设备组的管理也被表示为策略。 优化调度器计算用户偏好和约束条件之间的折衷，以优化作业到输出设备的提交，并优化输出设备上的使用和等待时间。

公开(公告)号：US20080225326A1

公开(公告)日：2008-09-18

申请号：US11685732

申请日：2007-03-13

申请人： Jeffrey Owen Kephart ,  Jonathan Lenchner ,  Frederick Cole Mintzer ,  Michael Wilbur Munger ,  Jennifer Q. Trelewicz

发明人： Jeffrey Owen Kephart ,  Jonathan Lenchner ,  Frederick Cole Mintzer ,  Michael Wilbur Munger ,  Jennifer Q. Trelewicz

IPC分类号： G06F3/12

CPC分类号： G06F3/1239 ,  G06F3/1222 ,  G06F3/1255 ,  G06F3/1288 ,  G06Q30/0261 ,  G06Q30/0269

摘要： Disclosed is a system and method for optimizing submission of output jobs to a network of output devices, using an output job manager to assign jobs to devices. The assignments are done automatically, based on policies associated with users, output devices, organizations responsible for the output devices, and the system as a whole. User output preferences are expressed as one or more user policies. System and organizational constraints associated with users and output devices and the managing of groups of output devices are also expressed as policies. An optimizing scheduler calculates tradeoffs between user preferences, and factors in constraints to optimize submission of jobs to output devices, and to optimize use and wait times on the output devices.

摘要翻译： 公开了一种用于优化将输出作业提交给输出设备的网络的系统和方法，其使用输出作业管理器将作业分配给设备。 这些分配是根据与用户，输出设备，负责输出设备的组织以及系统整体相关的策略自动完成的。 用户输出首选项表示为一个或多个用户策略。 与用户和输出设备相关联的系统和组织约束以及输出设备组的管理也被表示为策略。 优化调度器计算用户偏好和约束条件之间的折衷，以优化作业到输出设备的提交，并优化输出设备上的使用和等待时间。