公开(公告)号：US20170262868A1

公开(公告)日：2017-09-14

申请号：US15064642

申请日：2016-03-09

Applicant: XEROX CORPORATION

Inventor： Geetha Manjunath ,  Avinash Sharma ,  Narayanan Unny Edakunni ,  Divanshu Gupta ,  Manoj Gupta ,  Shruti Kunde ,  Rong Zhou

IPC: G06Q30/02 ,  G06F17/30 ,  G06Q30/00

CPC classification number: G06Q30/0201 ,  G06F16/3344 ,  G06F16/8358 ,  G06F16/9024 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/907 ,  G06Q30/016

Abstract: A method and a system are provided to derive one or more observations between a plurality of parameters in customer care data. The method includes receiving customer care data from a plurality of data sources. Thereafter the customer care data is transformed to create a plurality of data structures utilizing one or more semantic web protocols. The plurality of data structures represents a relationship between one or more parameters in the customer care data. Thereafter a subset of data structures is extracted from the plurality of data structures based on a query received via a query interface. One or more graph analytics techniques are applied on the subset of data structures to determine one or more observations associated with the subset of data structures. Thereafter the one or more observations pertaining to the subset of data structures are displayed on a display screen.

公开(公告)号：US09678796B2

公开(公告)日：2017-06-13

申请号：US14807918

申请日：2015-07-24

Applicant: XEROX CORPORATION

Inventor： Tridib Mukherjee ,  Sujit Gujar ,  Shruti Kunde

IPC: G06F9/46 ,  G06F9/50

CPC classification number: G06F9/5005 ,  G06F9/5027 ,  G06F9/505 ,  G06F2209/501 ,  G06F2209/504 ,  Y02D10/22

Abstract: A method and system to determine a computational resource requirement is described. The method and system rank one or more computational resources for each of the plurality of tasks in an ascending order, based on a cost associated with the plurality of tasks for each of the computational resource. Based on the ranked one or more computational resources and a fairness metric, the method and system allocates the one or more capacity units associated with the computational resource to perform the plurality of tasks. The method and system determines the computational resource requirement to perform the plurality of tasks based on the allocated one or more capacity units. The fairness metric ensures that allocation of the one or more capacity units to the plurality of tasks is performed in a manner to maximize the fairness.

公开(公告)号：US20170111445A1

公开(公告)日：2017-04-20

申请号：US14886123

申请日：2015-10-19

Applicant: XEROX CORPORATION

Inventor： Shruti Kunde ,  Tridib Mukherjee ,  Varun Sharma ,  Priyanka Harish

IPC: H04L29/08 ,  H04L12/919 ,  H04L12/927

CPC classification number: H04L67/1014 ,  H04L47/765 ,  H04L47/822 ,  H04L67/10 ,  H04L67/1008

Abstract: Methods and systems for computational resource allocation in a distributed computing environment are disclosed. A request for computational resource allocation is received at a first computational node. The request comprises at least a threshold value of an expected reliability associated with a set of required computational resources. The availability of one or more computational resources from the set of required computational resources is determined at the first computational node. Based on the determined availability of the one or more computational resources, a first reliability score of the first computational node is determined. Further, the first reliability score is compared with the threshold value of expected reliability. Based on the comparison, the one or more computational resources are allocated to process the request.

公开(公告)号：US09471369B2

公开(公告)日：2016-10-18

申请号：US14242165

申请日：2014-04-01

Applicant: Xerox Corporation

Inventor： Shruti Kunde ,  Tridib Mukherjee ,  Sujit Gujar

IPC: G06F9/46 ,  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：US20180089767A1

公开(公告)日：2018-03-29

申请号：US15278322

申请日：2016-09-28

Applicant: XEROX CORPORATION

Inventor： Chithralekha Balamurugan ,  Karan Kumar Budhraja ,  Preethi Raj Raajaratnam ,  Shruti Kunde ,  Madhavi Shankar

IPC: G06Q50/00 ,  G06Q10/06

CPC classification number: G06Q50/01 ,  G06Q10/063112

Abstract: The disclosed embodiments illustrate methods and systems for predicting service assurance between requestors and crowd workers for task processing on a crowdsourcing platform. The method includes receiving one or more service level agreement (SLA) attributes of one or more tasks. The method further includes selecting a first set of crowd workers, from a plurality of crowd workers associated with the crowdsourcing platform. The method further includes selecting a second set of crowd workers from one or more SLA-based clusters of the selected first set of crowd workers. The method further includes predicting the service assurance between the requestor and each of the selected second set of crowd workers based on at least performance sustenance parameters associated with the one or more tasks and the selected second set of crowd workers.

公开(公告)号：US20160247178A1

公开(公告)日：2016-08-25

申请号：US14629510

申请日：2015-02-24

Applicant: XEROX CORPORATION

Inventor： Sujit Gujar ,  Tridib Mukherjee ,  Shruti Kunde

IPC: G06Q30/02 ,  H04L12/24 ,  H04L29/08 ,  H04L12/911

CPC classification number: G06Q30/0208 ,  H04L41/5003 ,  H04L41/5019 ,  H04L67/10

Abstract: Methods and systems for determining incentives for sharing one or more computational resources in a network. A request from a resource requester is received for executing a workload. The request comprises a service level agreement (SLA) associated with said execution of said workload. A contribution of one or more computational resources, associated with a resource provider, in satisfying said SLA is determined based at least on a capacity associated with said one or more computational resources, a duration of a usage of said one or more computational resources for said execution, and one or more constraints included in said SLA. The incentives for said resource provider for said sharing of said one or more computational resources is determined based at least on said contribution.

Abstract translation: 用于确定在网络中共享一个或多个计算资源的激励的方法和系统。 收到来自资源请求者的请求以执行工作负载。 该请求包括与所述工作负载的所述执行相关联的服务级别协议（SLA）。 至少基于与所述一个或多个计算资源相关联的容量来确定与资源提供者相关联的一个或多个计算资源在满足所述SLA中的贡献，所述一个或多个计算资源的使用持续时间用于所述 执行以及包含在所述SLA中的一个或多个约束。 至少基于所述贡献来确定所述资源提供商对所述一个或多个计算资源的共享的激励。

公开(公告)号：US09870568B2

公开(公告)日：2018-01-16

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.

公开(公告)号：US09391917B2

公开(公告)日：2016-07-12

申请号：US14244918

申请日：2014-04-04

Applicant: Xerox Corporation

Inventor： Tridib Mukherjee ,  Gueyoung Jung ,  Shruti Kunde

IPC: G06F17/00 ,  G06N5/02 ,  H04L12/911 ,  G06F9/455 ,  G06F9/50

CPC classification number: H04L47/70 ,  G06F9/45558 ,  G06F9/505 ,  G06F9/5077 ,  G06F2009/4557

Abstract: Methods and systems for recommending one or more computational resources. A portion of computational resources is determined from a set of computational resources associated with a datacenter based on a user-profile associated with a user, from one or more users, and the set of computational resources. The user-profile comprises at least one of a required performance level, a required load, or a cost constraint. The one or more computational resources are recommended from the portion of computational resources, in response to requests received from the one or more users.

Abstract translation: 用于推荐一个或多个计算资源的方法和系统。 基于与用户相关联的用户简档，来自一个或多个用户以及该组计算资源，从与数据中心相关联的一组计算资源确定一部分计算资源。 用户简档包括所需性能水平，所需负载或成本约束中的至少一个。 响应于从一个或多个用户接收的请求，从计算资源的一部分推荐一个或多个计算资源。

公开(公告)号：US20150286935A1

公开(公告)日：2015-10-08

申请号：US14244918

申请日：2014-04-04

Applicant: Xerox Corporation

Inventor： Tridib Mukherjee ,  Gueyoung Jung ,  Shruti Kunde

IPC: G06N5/04 ,  H04L12/911

CPC classification number: H04L47/70 ,  G06F9/45558 ,  G06F9/505 ,  G06F9/5077 ,  G06F2009/4557

Abstract: Methods and systems for recommending one or more computational resources. A portion of computational resources is determined from a set of computational resources associated with a datacenter based on a user-profile associated with a user, from one or more users, and the set of computational resources. The user-profile comprises at least one of a required performance level, a required load, or a cost constraint. The one or more computational resources are recommended from the portion of computational resources, in response to requests received from the one or more users.

Abstract translation: 用于推荐一个或多个计算资源的方法和系统。 基于与用户相关联的用户简档，来自一个或多个用户以及该组计算资源，从与数据中心相关联的一组计算资源确定一部分计算资源。 用户简档包括所需性能水平，所需负载或成本约束中的至少一个。 响应于从一个或多个用户接收的请求，从计算资源的一部分推荐一个或多个计算资源。

公开(公告)号：US20170024256A1

公开(公告)日：2017-01-26

申请号：US14807918

申请日：2015-07-24

Applicant: XEROX CORPORATION

Inventor： Tridib Mukherjee ,  Sujit Gujar ,  Shruti Kunde

IPC: G06F9/50

CPC classification number: G06F9/5005 ,  G06F9/5027 ,  G06F9/505 ,  G06F2209/501 ,  G06F2209/504 ,  Y02D10/22

Abstract: A method and system to determine a computational resource requirement is described. The method and system rank one or more computational resources for each of the plurality of tasks in an ascending order, based on a cost associated with the plurality of tasks for each of the computational resource. Based on the ranked one or more computational resources and a fairness metric, the method and system allocates the one or more capacity units associated with the computational resource to perform the plurality of tasks. The method and system determines the computational resource requirement to perform the plurality of tasks based on the allocated one or more capacity units. The fairness metric ensures that allocation of the one or more capacity units to the plurality of tasks is performed in a manner to maximize the fairness.

Abstract translation: 描述了一种确定计算资源需求的方法和系统。 所述方法和系统基于与所述计算资源中的每一个的所述多个任务相关联的成本，以升序对所述多个任务中的每一个进行排序的一个或多个计算资源。 基于排序的一个或多个计算资源和公平度量，该方法和系统分配与计算资源相关联的一个或多个容量单元以执行多个任务。 该方法和系统基于所分配的一个或多个容量单元确定执行多个任务的计算资源需求。 公平度量确保以一种最大化公平性的方式来执行对多个任务的一个或多个容量单元的分配。