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1. 发明授权

US08601534B2 Securely using service providers in elastic computing systems and environments 失效
标题翻译：在弹性计算系统和环境中安全地使用服务提供商
公开(公告)号：US08601534B2
公开(公告)日：2013-12-03
申请号：US12765775
申请日：2010-04-22
申请人： Joshua Schiffman , Xinwen Zhang , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong
发明人： Joshua Schiffman , Xinwen Zhang , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong
IPC分类号： G06F17/00
CPC分类号： G06F9/5011
摘要： Access permission can be assigned to a particular individually executable portion of computer executable code (“component-specific access permission”) and enforced in connection with accessing the services of a service provider by the individually executable portion (or component). It should be noted that least one of the individually executable portions can request the services when executed by a dynamically scalable computing resource provider. In addition, general and component-specific access permissions respectively associated with executable computer code as a whole or one of it specific portions (or components) can be cancelled or rendered inoperable in response to an explicit request for cancelation.
摘要翻译：可以将访问权限分配给计算机可执行代码（“组件特定访问权限”）的特定单独执行部分，并且通过单独执行的部分（或组件）访问服务提供者的服务来执行。应当注意，当由动态可扩展的计算资源提供商执行时，单独可执行部分中的至少一个可以请求服务。此外，响应于明确的取消请求，可以将与可执行计算机代码相关联的通用和组件特定访问许可作为整体或其特定部分（或组件）中的一个可以被取消或不可操作。

2. 发明授权

US08239538B2 Execution allocation cost assessment for computing systems and environments including elastic computing systems and environments 有权
标题翻译：包括弹性计算系统和环境在内的计算系统和环境的执行分配成本评估
公开(公告)号：US08239538B2
公开(公告)日：2012-08-07
申请号：US12609970
申请日：2009-10-30
申请人： Xinwen Zhang , Onur Aciicmez , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong , Doreen Cheng
发明人： Xinwen Zhang , Onur Aciicmez , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong , Doreen Cheng
IPC分类号： G06F15/173
CPC分类号： H04L29/08144 , G06F9/5044 , G06F9/5094 , H04L29/08306 , H04N21/23103 , Y02D10/22
摘要： Techniques for assessing the cost of allocation of execution and affecting the allocation of execution are disclosed. The cost of allocation of execution to or between a first computing device (e.g., a mobile device) and one or more computing resource providers (e.g., one or more Clouds) can be determined during runtime of the executable code. It will be appreciated that a computing system can operate independently of the first computing device and one or more computing resource providers and provide execution allocation cost assessment as a service to the first computing device and/or one or more computing resource providers. Execution allocation cost can be assessed (or determined) based on execution allocation data pertaining to the first computing device and/or one or more computing resource providers. By way of example, power consumption of a mobile device can be used as a factor in determining how to allocate individual components of an application program (e.g., weblets) between a mobile phone and a Cloud. The invention is especially suited for Elastic computing environment and systems. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment.
摘要翻译：披露了评估分配成本和影响执行分配的技术。可以在可执行代码的运行时间期间确定向第一计算设备（例如，移动设备）和一个或多个计算资源提供者（例如，一个或多个云）分配执行的成本。应当理解，计算系统可以独立于第一计算设备和一个或多个计算资源提供者操作，并且将作为服务的执行分配成本评估提供给第一计算设备和/或一个或多个计算资源提供者。可以基于与第一计算设备和/或一个或多个计算资源提供者有关的执行分配数据来评估（或确定）执行分配成本。作为示例，可以使用移动设备的功率消耗作为确定如何在移动电话和云之间分配应用程序（例如，冒号）的各个组件的因素。本发明特别适用于弹性计算环境和系统。在弹性计算环境中，可以使用可扩展和动态的外部计算资源，以便有效地将计算能力扩展到可以由计算系统或环境的内部计算资源提供的能力。

3. 发明申请

US20100131592A1 EXECUTION ALLOCATION COST ASSESSMENT FOR COMPUTING SYSTEMS AND ENVIRONMENTS INCLUDING ELASTIC COMPUTING SYSTEMS AND ENVIRONMENTS 有权
标题翻译：包括弹性计算系统和环境在内的计算系统和环境的执行成本分摊费用评估
公开(公告)号：US20100131592A1
公开(公告)日：2010-05-27
申请号：US12609970
申请日：2009-10-30
申请人： Xinwen Zhang , Onur Aciicmez , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong , Doreen Cheng
发明人： Xinwen Zhang , Onur Aciicmez , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong , Doreen Cheng
IPC分类号： G06F9/50 , G06F15/16 , G06F15/173
CPC分类号： H04L29/08144 , G06F9/5044 , G06F9/5094 , H04L29/08306 , H04N21/23103 , Y02D10/22
摘要： Techniques for assessing the cost of allocation of execution and affecting the allocation of execution are disclosed. The cost of allocation of execution to or between a first computing device (e.g., a mobile device) and one or more computing resource providers (e.g., one or more Clouds) can be determined during runtime of the executable code. It will be appreciated that a computing system can operate independently of the first computing device and one or more computing resource providers and provide execution allocation cost assessment as a service to the first computing device and/or one or more computing resource providers. Execution allocation cost can be assessed (or determined) based on execution allocation data pertaining to the first computing device and/or one or more computing resource providers. By way of example, power consumption of a mobile device can be used as a factor in determining how to allocate individual components of an application program (e.g., weblets) between a mobile phone and a Cloud. The invention is especially suited for Elastic computing environment and systems. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment.
摘要翻译：披露了评估分配成本和影响执行分配的技术。可以在可执行代码的运行时间期间确定向第一计算设备（例如，移动设备）和一个或多个计算资源提供者（例如，一个或多个云）分配执行的成本。应当理解，计算系统可以独立于第一计算设备和一个或多个计算资源提供者操作，并且将作为服务的执行分配成本评估提供给第一计算设备和/或一个或多个计算资源提供者。可以基于与第一计算设备和/或一个或多个计算资源提供者有关的执行分配数据来评估（或确定）执行分配成本。作为示例，可以使用移动设备的功率消耗作为确定如何在移动电话和云之间分配应用程序（例如，冒号）的各个组件的因素。本发明特别适用于弹性计算环境和系统。在弹性计算环境中，可以使用可扩展和动态的外部计算资源，以便有效地将计算能力扩展到可以由计算系统或环境的内部计算资源提供的能力。

4. 发明授权

US08775630B2 Execution allocation cost assessment for computing systems and environments including elastic computing systems and environments 失效
标题翻译：包括弹性计算系统和环境在内的计算系统和环境的执行分配成本评估
公开(公告)号：US08775630B2
公开(公告)日：2014-07-08
申请号：US13492772
申请日：2012-06-08
申请人： Xinwen Zhang , Onur Aciicmez , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong , Doreen Cheng
发明人： Xinwen Zhang , Onur Aciicmez , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong , Doreen Cheng
IPC分类号： G06F15/16 , H04L29/08 , H04N21/231 , G06F9/50
CPC分类号： H04L29/08144 , G06F9/5044 , G06F9/5094 , H04L29/08306 , H04N21/23103 , Y02D10/22
摘要： Techniques for assessing the cost of allocation of execution and affecting the allocation of execution are disclosed. The cost of allocation of execution between a first computing device (e.g., mobile device) and one or more computing resource providers (e.g., Clouds) can be determined during runtime of the code. A computing system can operate independently of the first computing device and a computing resource provider and provide execution allocation cost assessment. Execution allocation cost can be assessed based on execution allocation data pertaining to the first computing device and computing resource providers. Power consumption of a mobile device can be used as a factor in determining how to allocate individual components of an application program between a mobile phone and a Cloud. In an Elastic computing environment, external computing resources can be used to extend the computing capabilities beyond that which can be provided by internal computing resources.
摘要翻译：披露了评估分配成本和影响执行分配的技术。可以在代码的运行时间期间确定第一计算设备（例如，移动设备）与一个或多个计算资源提供者（例如，云）之间的执行分配成本。计算系统可以独立于第一计算设备和计算资源提供者操作并提供执行分配成本评估。可以基于与第一计算设备和计算资源提供者有关的执行分配数据来评估执行分配成本。可以将移动设备的功耗用作确定如何在移动电话和云之间分配应用程序的各个组件的因素。在弹性计算环境中，外部计算资源可用于将计算能力扩展到内部计算资源所能提供的计算能力之外。

5. 发明授权

US09075663B2 Cloud-based web workers and storages 有权
标题翻译：基于云的网络工作者和存储
公开(公告)号：US09075663B2
公开(公告)日：2015-07-07
申请号：US12778846
申请日：2010-05-12
申请人： Xinwen Zhang , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong
发明人： Xinwen Zhang , Simon J. Gibbs , Anugeetha Kunjithapatham , Sangoh Jeong
IPC分类号： G06F15/16 , G06F9/50 , G06F9/48
CPC分类号： G06F9/5072 , G06F9/4843
摘要： In accordance with one aspect of the invention, web workers and local storages can be extended to a cloud-based environment. This allows web workers to be executed on any of a number of different cloud platforms located in a cloud, leveraging available resources to provide a quicker and more efficient processing environment for the various web workers. The present invention also provides these functionalities in a way that is transparent to not just the user, but also to the web page developer as well, eliminating the need for the web page developer to be aware of the cloud-based environment and design the web page for use therewith.
摘要翻译：根据本发明的一个方面，网络工作者和本地存储器可以扩展到基于云的环境。这允许网络工作者在位于云端的多个不同云平台中的任何一个上执行，利用可用资源为各种网络工作者提供更快速和更有效的处理环境。本发明还以对用户不仅仅是透明的方式提供这些功能，而且对网页开发者也是透明的，消除了网页开发人员了解基于云的环境和设计网络的需要使用页面。

6. 发明授权

US08560465B2 Execution allocation cost assessment for computing systems and environments including elastic computing systems and environments 有权
标题翻译：包括弹性计算系统和环境在内的计算系统和环境的执行分配成本评估
公开(公告)号：US08560465B2
公开(公告)日：2013-10-15
申请号：US12710204
申请日：2010-02-22
申请人： Sangoh Jeong , Simon J. Gibbs , Xinwen Zhang , Anugeetha Kunjithapatham
发明人： Sangoh Jeong , Simon J. Gibbs , Xinwen Zhang , Anugeetha Kunjithapatham
IPC分类号： G06N5/00
CPC分类号： G06N5/02 , G06F9/5066
摘要： Techniques for allocating individually executable portions of executable code for execution in an Elastic computing environment are disclosed. In an Elastic computing environment, scalable and dynamic external computing resources can be used in order to effectively extend the computing capabilities beyond that which can be provided by internal computing resources of a computing system or environment. Machine learning can be used to automatically determine whether to allocate each individual portion of executable code (e.g., a Weblet) for execution to either internal computing resources of a computing system (e.g., a computing device) or external resources of an dynamically scalable computing resource (e.g., a Cloud). By way of example, status and preference data can be used to train a supervised learning mechanism to allow a computing device to automatically allocate executable code to internal and external computing resources of an Elastic computing environment.
摘要翻译：公开了用于在弹性计算环境中分配用于执行的可执行代码的单独可执行部分的技术。在弹性计算环境中，可以使用可扩展和动态的外部计算资源，以便有效地将计算能力扩展到可以由计算系统或环境的内部计算资源提供的能力。机器学习可用于自动确定是否将可执行代码（例如，Weblet）的每个单独部分分配给计算系统（例如，计算设备）的内部计算资源或动态可扩展计算资源的外部资源（例如，云）。作为示例，状态和偏好数据可以用于训练监督学习机制，以允许计算设备自动地将可执行代码分配给弹性计算环境的内部和外部计算资源。

7. 发明授权

US08001561B2 System and method for automatically rating video content 失效
标题翻译：自动对视频内容进行评分的系统和方法
公开(公告)号：US08001561B2
公开(公告)日：2011-08-16
申请号：US12120217
申请日：2008-05-13
申请人： Simon J. Gibbs , Bottyán Németh , Priyang Rathod , Anugeetha Kunjithapatham , Mithun Sheshagiri , Phuong Nguyen
发明人： Simon J. Gibbs , Bottyán Németh , Priyang Rathod , Anugeetha Kunjithapatham , Mithun Sheshagiri , Phuong Nguyen
IPC分类号： H04N7/16 , H04N5/455
CPC分类号： G06F17/30038
摘要： System and method for automatically rating the content of video media based on video operations performed on a media device and in reference to a plurality of rating rules are provided. Usage of the media device is continuously monitored and user actions with respect to operating the video media on the media device are automatically logged. Each rating rule includes a device usage pattern with respect to operating videos on the media device and a rating action indicating adjustments to content ratings of the videos based upon characteristics described by the device usage pattern that are inferred from the recorded user inputted video control operations. When the device usage pattern of a rating rule is inferred from one or more user actions operating a piece of video media directly on the media device, the content rating of the piece of video media is adjusted based on the rating rule.
摘要翻译：提供了基于在媒体设备上执行的视频操作并参考多个评级规则来自动对视频媒体的内容进行评级的系统和方法。持续监控媒体设备的使用情况，并自动记录用户在媒体设备上操作视频媒体的操作。每个评级规则包括关于媒体设备上的操作视频的设备使用模式，以及基于从记录的用户输入的视频控制操作推断出的设备使用模式所描述的特性的指示对视频的内容评级进行调整的评级动作。当通过直接在媒体设备上操作一段视频媒体的一个或多个用户动作来推断评级规则的设备使用模式时，基于评级规则来调整该片视频媒体的内容分级。

8. 发明申请

US20100205041A1 DETERMINING THE INTEREST OF INDIVIDUAL ENTITIES BASED ON A GENERAL INTEREST 审中-公开
标题翻译：基于一般利益确定个人实体的利益
公开(公告)号：US20100205041A1
公开(公告)日：2010-08-12
申请号：US12370414
申请日：2009-02-12
申请人： Priyang Rathod , Simon J. Gibbs , Anugeetha Kunjithapatham , Mithun Sheshagiri , Phuong Nguyen
发明人： Priyang Rathod , Simon J. Gibbs , Anugeetha Kunjithapatham , Mithun Sheshagiri , Phuong Nguyen
IPC分类号： G06Q10/00
CPC分类号： G06Q10/00 , G06Q30/0204
摘要： An interest value indicative of the interest of a particular entity in one or more items can be determined based on a general interest value (e.g., a group interest/preference value) associated with a plurality of entities (e.g., persons, members of a group) that include that particular entity. The interest value can be determined based on Collaborative Filtering (CF) data and/or individual (or non-collaborative) data. In contrast to the Collaborative Filtering (CF) data which may include data associated with various entities, the individual (or non-collaborative) data typically pertains to one entity, namely, the entity whose interest is to be determined. It will be appreciated that both collaborative and non-collaborative data pertaining to individuals can be considered, thereby allowing for a better estimation of individual interests. The interest of a particular entity can be determined, for example, by considering the difference between a predicted CF interest value (determined based on CF data) and a group interest value and/or by considering the difference between a predicted individual interest value (determined based on non-collaborative data) and the group interest value.
摘要翻译：可以基于与多个实体（例如，个人，组的成员）相关联的一般兴趣值（例如，组兴趣/偏好值）来确定指示一个或多个项目中特定实体的兴趣的兴趣值）包括该特定实体。可以基于协同过滤（CF）数据和/或单个（或非协作）数据来确定兴趣值。与可以包括与各种实体相关联的数据的协作过滤（CF）数据相反，个体（或非协作）数据通常涉及一个实体，即其利益将被确定的实体。应当理解，可以考虑与个人有关的协作和非协作数据，从而允许更好地估计个人兴趣。特定实体的兴趣可以例如通过考虑预测的CF利息值（基于CF数据确定）和组合利息价值之间的差异和/或通过考虑预测的个人利益价值（确定的）之间的差异来确定基于非协作数据）和组利益价值。

9. 发明申请

US20090292672A1 SYSTEM AND METHOD FOR FACILITATING ACCESS TO AUDO/VISUAL CONTENT ON AN ELECTRONIC DEVICE 有权
标题翻译：促进对电子设备的视听内容的访问的系统和方法
公开(公告)号：US20090292672A1
公开(公告)日：2009-11-26
申请号：US12124098
申请日：2008-05-20
申请人： Anugeetha Kunjithapatham , Simon J. Gibbs , Priyang Rathod , Mithun Sheshagiri , Phuong Nguyen , Alan Messer
发明人： Anugeetha Kunjithapatham , Simon J. Gibbs , Priyang Rathod , Mithun Sheshagiri , Phuong Nguyen , Alan Messer
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F17/30038 , G06F17/3082 , G06F17/30828 , H04N21/44222 , H04N21/4667 , H04N21/4668 , H04N21/4826
摘要： A method and system for facilitating access to content on an electronic device is provided. Facilitating access involves maintaining a temporal log of metadata for content accessed by one or more users, segregated based on time slots; searching the log to detect a pattern related to the metadata for one or more times slots; and constructing a temporal usage profile based on the pattern. The temporal usage profile may be used for recommending appropriate content to a user at an appropriate time.
摘要翻译：提供了一种便于访问电子设备上的内容的方法和系统。促进访问包括维护由一个或多个用户访问的内容的元数据的时间日志，其基于时隙分隔; 搜索日志以检测与一个或多个时隙的元数据相关的模式; 以及基于所述模式构建时间使用简档。时间使用简档可以用于在适当的时间向用户推荐适当的内容。

10. 发明申请

US20090132519A1 CLIPRANK: RANKING MEDIA CONTENT USING THEIR RELATIONSHIPS WITH END USERS 有权
标题翻译： CLIPRANK：使用与最终用户的关系排名媒体内容
公开(公告)号：US20090132519A1
公开(公告)日：2009-05-21
申请号：US12120209
申请日：2008-05-13
申请人： Priyang Rathod , Mithun Sheshagiri , Simon J. Gibbs , Anugeetha Kunjithapatham
发明人： Priyang Rathod , Mithun Sheshagiri , Simon J. Gibbs , Anugeetha Kunjithapatham
IPC分类号： G06F17/30
CPC分类号： G06F17/30038
摘要： A method of ranking a plurality pieces of media content is provided. Each of the plurality pieces of media content has at least one relationship with at least one of a plurality of users. Each of the plurality of users has at least one relationship with at least one of the plurality pieces of media content. Each of the plurality pieces of media content is associated with a weight, each of the plurality of users is associated with a weight, and each relationship is associated with a weight. For each of the plurality pieces of media content and each of the plurality of users, recursively calculating and updating the weight associated with the piece of media content or the user until a difference between the weights associated with the plurality pieces of media content and the plurality of users calculated during a current iteration and the weights associated with the plurality pieces of media content and the plurality of users calculated during a previous iteration is less than a predefined threshold. The weight associated with a piece of media content or a user is calculated based on the weights of the at least one relationship and the weights of the at least one piece of media content or the at least one user with which the piece of media content or the user has the at least one relationship. Ranking the plurality pieces of media content according to their respectively associated weights.
摘要翻译：提供了一种对多个媒体内容进行排序的方法。多个媒体内容中的每一个与多个用户中的至少一个具有至少一个关系。多个用户中的每一个与多个媒体内容中的至少一个具有至少一个关系。多个媒体内容中的每一个与权重相关联，多个用户中的每一个与权重相关联，并且每个关系与权重相关联。对于多个媒体内容中的每一个和多个用户中的每一个，递归地计算和更新与该片媒体内容或用户相关联的权重，直到与多个媒体内容和多个媒体内容相关联的权重之间的差异并且与多个媒体内容相关联的权重以及在先前迭代期间计算的多个用户的权重小于预定义的阈值。基于所述至少一个关系的权重以及所述至少一个媒体内容的权重或者所述至少一个用户可以计算与一段媒体内容或用户相关联的权重，用户具有至少一个关系。根据各自的相关权重对多个媒体内容进行排序。

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