公开(公告)号：US09444846B2

公开(公告)日：2016-09-13

申请号：US14308748

申请日：2014-06-19

Applicant: Xerox Corporation

Inventor： Avinash Sharma ,  Partha Dutta ,  Tridib Mukherjee ,  Shruti Kunde

IPC: H04L29/06

CPC classification number: H04L63/20 ,  H04L63/126

Abstract: Embodiments of a method are disclosed for computing trust index among multiple entities associated with a resource marketplace. The method includes receiving multiple inputs including interaction attributes, attribute importance factors, references to databases, and multiple entities associated with the resource marketplace. The method also includes creating a weighted-interaction graph based on the received inputs. The weighted-interaction graph includes multiple vertices representing the entities. The method further includes performing a topology-specific analysis of the weighted-interaction graph. The method furthermore includes computing Euclidean distances for each pair of vertices in the weighted-interaction graph based on the performed analysis. The method also includes determining a trust index for a first entity in the received multiple entities based on the computed Euclidean distances. The trust index includes ranking of at least one of the multiple entities with respect to the first entity. The ranking is inversely proportional to the computed Euclidean distances.

Abstract translation: 公开了一种用于计算与资源市场相关联的多个实体之间的信任指数的方法的实施例。 该方法包括接收多个输入，包括交互属性，属性重要性因素，对数据库的引用以及与资源市场相关联的多个实体。 该方法还包括基于所接收的输入创建加权交互图。 加权交互图包括表示实体的多个顶点。 该方法还包括执行加权交互图的拓扑特定分析。 该方法还包括基于所执行的分析来计算加权交互图中的每对顶点的欧几里得距离。 该方法还包括基于所计算的欧氏距离来确定所接收的多个实体中的第一实体的信任度索引。 信任指数包括相对于第一实体的至少一个多个实体的排名。 排名与计算的欧氏距离成反比。

公开(公告)号：US09262502B2

公开(公告)日：2016-02-16

申请号：US14162886

申请日：2014-01-24

Applicant: Xerox Corporation

Inventor： Shruti Kunde ,  Tridib Mukherjee ,  Gueyoung Jung

IPC: G06F9/45 ,  G06F17/30 ,  G06F9/455

CPC classification number: G06F17/30589 ,  G06F9/45558 ,  G06F2009/45562 ,  G06F2009/45595

Abstract: There is provided systems and methods for creating a repository of templates. The templates are deterministic of a configuration a virtual machine. The method includes creating one or more templates for each of one or more applications types based on a benchmark data. Each of the one or more templates is stored in a hierarchal structure having one or more hierarchal levels. Each of the one or more hierarchal levels is indicative of a parameter of the configuration of the virtual machine. Thereafter, one or more rules are defined to traverse through the one or more hierarchal levels to access the one or more templates.

Abstract translation: 提供了用于创建模板存储库的系统和方法。 模板是虚拟机配置的确定性。 该方法包括基于基准数据为一个或多个应用类型中的每一个创建一个或多个模板。 一个或多个模板中的每一个存储在具有一个或多个层级的层次结构中。 一个或多个分层级别中的每一个表示虚拟机的配置的参数。 此后，定义一个或多个规则来遍历一个或多个层级以访问一个或多个模板。

公开(公告)号：US20150373049A1

公开(公告)日：2015-12-24

申请号：US14308748

申请日：2014-06-19

Applicant: Xerox Corporation

Inventor： Avinash Sharma ,  Partha Dutta ,  Tridib Mukherjee ,  Shruti Kunde

IPC: H04L29/06

CPC classification number: H04L63/20 ,  H04L63/126

Abstract: Embodiments of a method are disclosed for computing trust index among multiple entities associated with a resource marketplace. The method includes receiving multiple inputs including interaction attributes, attribute importance factors, references to databases, and multiple entities associated with the resource marketplace. The method also includes creating a weighted-interaction graph based on the received inputs. The weighted-interaction graph includes multiple vertices representing the entities. The method further includes performing a topology-specific analysis of the weighted-interaction graph. The method furthermore includes computing Euclidean distances for each pair of vertices in the weighted-interaction graph based on the performed analysis. The method also includes determining a trust index for a first entity in the received multiple entities based on the computed Euclidean distances. The trust index includes ranking of at least one of the multiple entities with respect to the first entity. The ranking is inversely proportional to the computed Euclidean distances.

Abstract translation: 公开了一种用于计算与资源市场相关联的多个实体之间的信任指数的方法的实施例。 该方法包括接收多个输入，包括交互属性，属性重要性因素，对数据库的引用以及与资源市场相关联的多个实体。 该方法还包括基于所接收的输入创建加权交互图。 加权交互图包括表示实体的多个顶点。 该方法还包括执行加权交互图的拓扑特定分析。 该方法还包括基于所执行的分析来计算加权交互图中的每对顶点的欧几里得距离。 该方法还包括基于所计算的欧氏距离来确定所接收的多个实体中的第一实体的信任度索引。 信任指数包括相对于第一实体的至少一个多个实体的排名。 排名与计算的欧氏距离成反比。

公开(公告)号：US20150324695A1

公开(公告)日：2015-11-12

申请号：US14273566

申请日：2014-05-09

Applicant: Xerox Corporation

Inventor： Sakyajit Bhattacharya ,  Tridib Mukherjee ,  Koustuv Dasgupta ,  Shruti Kunde

IPC: G06N5/04 ,  H04L29/08

CPC classification number: G06N5/04 ,  G06N99/005 ,  H04L67/10

Abstract: Methods and systems for creating one or more statistical classifiers. A first set of performance parameters, corresponding to the one or more applications and the one or more computing infrastructures, is extracted from a historical data pertaining to the execution of the one or more applications on the one or more computing infrastructures. Further, a set of application-specific and a set of infrastructure-specific parameters are selected, from the first set of performance parameters, based on one or more statistical techniques. A similarity between each pair of the applications, each pair of the computing infrastructures, and each pair of possible combinations of an application and a computing infrastructure is determined. One or more statistical classifiers are created, based on the determined similarity.

Abstract translation: 用于创建一个或多个统计分类器的方法和系统。 从与一个或多个计算基础设施上的一个或多个应用的​​执行有关的历史数据中提取对应于一个或多个应用和一个或多个计算基础设施的第一组性能参数。 此外，基于一种或多种统计技术，从第一组性能参数中选择一组特定应用和一组基础设施特定参数。 确定每对应用程序，每对计算基础设施以及应用程序和计算基础设施的每对可能组合之间的相似性。 基于所确定的相似度，创建一个或多个统计分类器。

公开(公告)号：US20150281117A1

公开(公告)日：2015-10-01

申请号：US14242165

申请日：2014-04-01

Applicant: Xerox Corporation

Inventor： Shruti Kunde ,  Tridib Mukherjee ,  Sujit Gujar

IPC: H04L12/911 ,  H04L12/24

CPC classification number: G06F9/46 ,  H04L41/5019

Abstract: Methods and systems for sharing computational resources. A request from a first node is received for the one or more computational resources. The request comprises a service level agreement (SLA) associated with the requested one or more computational resources. The request is compared with one or more advertisements sent by at least two second nodes, other than the first node. The one or more advertisements correspond to an availability of a set of computational resources associated with each of the at least two second nodes. A portion of computational resources from the set of computational resources associated with each of the at least two second nodes is allocated to the first node, based on the comparison, such that a combination of the portion of computational resources satisfy the SLA associated with the request.

Abstract translation: 用于共享计算资源的方法和系统。 为一个或多个计算资源接收来自第一节点的请求。 该请求包括与所请求的一个或多个计算资源相关联的服务水平协议（SLA）。 该请求与除了第一节点之外的至少两个第二节点发送的一个或多个广告进行比较。 所述一个或多个广告对应于与所述至少两个第二节点中的每一个相关联的一组计算资源的可用性。 基于该比较，来自与所述至少两个第二节点中的每一个相关联的所述一组计算资源的计算资源的一部分被分配给所述第一节点，使得所述部分计算资源的组合满足与所述请求相关联的SLA 。

公开(公告)号：US20170076241A1

公开(公告)日：2017-03-16

申请号：US14849911

申请日：2015-09-10

Applicant: XEROX CORPORATION

Inventor： Shruti Kunde ,  Chithralekha Balamurugan ,  Deepthi Chander ,  Avantika Gupta

IPC: G06Q10/06 ,  G06Q50/00 ,  H04L29/08

CPC classification number: G06Q10/063112 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for selecting a crowd workforce for processing a task. The method includes receiving a request from a requestor to process the task. The method further includes generating a set of rules based on at least one or more attributes associated with the task. The method further includes selecting a first set of crowd workers, from one or more crowd workers, based on at least a triggering of one or more rules from the set of rules. The triggering of the one or more rules is based on at least a set of threshold values associated with the one or more crowd workers. The method further includes displaying a resource graph on a display screen of a requestor-computing device associated with a requestor, where the resource graph represents at least the first set of crowd workers.

Abstract translation: 所公开的实施例示出了用于选择用于处理任务的人群劳动力的方法和系统。 该方法包括从请求者接收请求以处理该任务。 该方法还包括基于与任务相关联的至少一个或多个属性生成一组规则。 该方法进一步包括从一组或多名群众工作者至少基于该组规则触发一个或多个规则来选择第一组人群工作者。 一个或多个规则的触发基于与一个或多个群众工作者相关联的至少一组阈值。 该方法还包括在与请求者相关联的请求者计算设备的显示屏幕上显示资源图，其中资源图表至少是第一组人群工作者。

公开(公告)号：US09471876B2

公开(公告)日：2016-10-18

申请号：US14273566

申请日：2014-05-09

Applicant: Xerox Corporation

Inventor： Sakyajit Bhattacharya ,  Tridib Mukherjee ,  Koustuv Dasgupta ,  Shruti Kunde

IPC: G06F17/00 ,  G06N5/02 ,  G06N5/04 ,  H04L29/08 ,  G06N99/00

CPC classification number: G06N5/04 ,  G06N99/005 ,  H04L67/10

Abstract: Methods and systems for creating one or more statistical classifiers. A first set of performance parameters, corresponding to the one or more applications and the one or more computing infrastructures, is extracted from a historical data pertaining to the execution of the one or more applications on the one or more computing infrastructures. Further, a set of application-specific and a set of infrastructure-specific parameters are selected, from the first set of performance parameters, based on one or more statistical techniques. A similarity between each pair of the applications, each pair of the computing infrastructures, and each pair of possible combinations of an application and a computing infrastructure is determined. One or more statistical classifiers are created, based on the determined similarity.

Abstract translation: 用于创建一个或多个统计分类器的方法和系统。 从与一个或多个计算基础设施上的一个或多个应用的​​执行有关的历史数据中提取对应于一个或多个应用和一个或多个计算基础设施的第一组性能参数。 此外，基于一种或多种统计技术，从第一组性能参数中选择一组特定应用和一组基础设施特定参数。 确定每对应用程序，每对计算基础设施之间的相似性以及应用程序和计算基础设施的每对可能的组合。 基于所确定的相似度，创建一个或多个统计分类器。

公开(公告)号：US20150213106A1

公开(公告)日：2015-07-30

申请号：US14162886

申请日：2014-01-24

Applicant: Xerox Corporation

Inventor： Shruti Kunde ,  Tridib Mukherjee ,  Gueyoung Jung

IPC: G06F17/30 ,  G06F9/455

CPC classification number: G06F17/30589 ,  G06F9/45558 ,  G06F2009/45562 ,  G06F2009/45595

Abstract: There is provided systems and methods for creating a repository of templates. The templates are deterministic of a configuration a virtual machine. The method includes creating one or more templates for each of one or more applications types based on a benchmark data. Each of the one or more templates is stored in a hierarchal structure having one or more hierarchal levels. Each of the one or more hierarchal levels is indicative of a parameter of the configuration of the virtual machine. Thereafter, one or more rules are defined to traverse through the one or more hierarchal levels to access the one or more templates.

Abstract translation: 提供了用于创建模板存储库的系统和方法。 模板是虚拟机配置的确定性。 该方法包括基于基准数据为一个或多个应用类型中的每一个创建一个或多个模板。 一个或多个模板中的每一个存储在具有一个或多个层级的层次结构中。 一个或多个分层级别中的每一个表示虚拟机的配置的参数。 此后，定义一个或多个规则来遍历一个或多个层级以访问一个或多个模板。

公开(公告)号：US20150142524A1

公开(公告)日：2015-05-21

申请号：US14083789

申请日：2013-11-19

Applicant: Xerox Corporation

Inventor： Gueyoung Jung ,  Tridib Mukherjee ,  Shruti Kunde

IPC: G06Q30/02

CPC classification number: G06Q30/0206

Abstract: Methods and systems for determining prices of customized virtual machines required to process customer-specified workloads are disclosed. A count of instances of the customized virtual machines, required to process the customer-specified workloads is determined, based on a configuration of the customized virtual machines. The instances of the customized virtual machines are consolidated on virtual machine servers. Further, the prices of the customized virtual machines are determined based on a count of the virtual machine servers, unused resources in the virtual machine servers, and unused resources in the customized virtual machines. The determined prices are recommended to the customer. Further, at least one of the prices of the customized virtual machines or the configuration of at least one or more customized virtual machines is modified, based on a response to the recommendation received from the customer.

Abstract translation: 公开了用于确定处理客户指定工作负载所需的定制虚拟机的价格的方法和系统。 基于定制虚拟机的配置，确定处理客户指定工作负载所需的定制虚拟机的实例数。 自定义虚拟机的实例在虚拟机服务器上合并。 此外，基于虚拟机服务器的计数，虚拟机服务器中的未使用资源以及定制虚拟机中未使用的资源来确定定制虚拟机的价格。 确定的价格是向客户推荐的。 此外，基于从客户接收到的推荐的响应，修改定制虚拟机的价格中的至少一个或至少一个或多个定制虚拟机的配置。