公开(公告)号：US09535749B2

公开(公告)日：2017-01-03

申请号：US13891955

申请日：2013-05-10

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Mudit Kaushik ,  Joel Mathew

IPC: G06F9/46 ,  G06F9/50 ,  G06F9/455

CPC classification number: G06F9/50 ,  G06F9/455 ,  G06F9/5083

Abstract: A method, non-transitory computer readable medium, and resource management computing device comprises identifying one or more workload bursts in a production environment. One or more additional resources in a non-production environment required to manage the one or more workload burst in a production environment is determined by comparing an environment resource consumption value against a permissible maximum value, wherein the environment resource consumption value is a value indicating usage of each of the one or more resources. One or more additional resources are identified in the non-production environment. The identified one or more additional resources are provided to handle the one or more workload bursts.

Abstract translation: 一种方法，非暂时计算机可读介质和资源管理计算设备包括识别生产环境中的一个或多个工作负载突发。 通过将环境资源消耗值与允许的最大值进行比较来确定在生产环境中管理一个或多个工作负载突发所需的非生产环境中的一个或多个附加资源，其中环境资源消耗值是指示使用的值 的一个或多个资源。 在非生产环境中识别出一个或多个附加资源。 提供所识别的一个或多个附加资源以处理一个或多个工作负载突发。

公开(公告)号：US10044820B2

公开(公告)日：2018-08-07

申请号：US14493313

申请日：2014-09-22

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Amit Gawande

IPC: H04L29/08 ,  H04L12/26 ,  G06F11/34

Abstract: The present invention relates to a method and a system to automate identification of transactions. The method comprises receiving raw log files from a transaction device into a log collector, storing the raw log files to a log storage, processing the raw log files by a log parser unit to remove the fields and the entries of the raw log files that are not relevant for the transaction identification analysis, identifying of at least one session of at least one user by clustering the processed one or more entries from a single user session using at least one session identifier unit, identifying at least one user path that is followed by at least one user during a single user session, identifying at least one entry point from the identified single user path and determining at least one transaction and at least one sub transaction from the identified entry point.

公开(公告)号：US20140379702A1

公开(公告)日：2014-12-25

申请号：US14220495

申请日：2014-03-20

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Karol Daniel

IPC: G06F17/30

CPC classification number: G06Q50/01 ,  G06F17/30867

Abstract: Systems and methods for leveraging social media data by entities to identify key influencers are disclosed. Monitoring criteria is based on a selected subject-matter. The analysis permits quantification of influencers and takes into account the conversari platforms and the published platforms in the social media.

Abstract translation: 披露了实体利用社交媒体数据识别关键影响因素的系统和方法。 监测标准是基于选定的主题。 该分析允许影响者的量化，并考虑到社交媒体中的会话平台和已发布的平台。

公开(公告)号：US20140289412A1

公开(公告)日：2014-09-25

申请号：US14213489

申请日：2014-03-14

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Mudit Kaushik ,  Arun Vishwanathan

IPC: H04L29/08 ,  H04L12/26

CPC classification number: H04L67/1097 ,  G06F9/5072 ,  H04L41/5003 ,  H04L67/322

Abstract: This technology relates to a device, method, and non-transitory computer readable medium for allocating one or more resources optimally in a composite cloud environment. This technology involves configuring organization and service level quota values, describing service composition, service unit, service level agreement, defining allocation model and resource allocation optimization algorithm. Based on these predefined rules the infrastructure, software and manual resources are assigned, future allocation is forecasted and resources are allocated to complete the service requests received from the users.

Abstract translation: 该技术涉及用于在复合云环境中最佳地分配一个或多个资源的设备，方法和非暂时性计算机可读介质。 该技术涉及配置组织和服务级别配额值，描述服务组合，服务单元，服务级别协议，定义分配模型和资源分配优化算法。 基于这些预定义的规则，分配了基础设施，软件和手动资源，预测未来分配，分配资源以完成从用户接收的服务请求。

公开(公告)号：US20130305245A1

公开(公告)日：2013-11-14

申请号：US13891955

申请日：2013-05-10

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Mudit Kaushik ,  Joel Mathew

IPC: G06F9/50 ,  G06F9/455

CPC classification number: G06F9/50 ,  G06F9/455 ,  G06F9/5083

Abstract: A method, non-transitory computer readable medium, and resource management computing device comprises identifying one or more workload bursts in a production environment. One or more additional resources in a non-production environment required to manage the one or more workload burst in a production environment is determined by comparing an environment resource consumption value against a permissible maximum value, wherein the environment resource consumption value is a value indicating usage of each of the one or more resources. One or more additional resources are identified in the non-production environment. The identified one or more additional resources are provided to handle the one or more workload bursts.

Abstract translation: 一种方法，非暂时计算机可读介质和资源管理计算设备包括识别生产环境中的一个或多个工作负载突发。 通过将环境资源消耗值与允许的最大值进行比较来确定在生产环境中管理一个或多个工作负载突发所需的非生产环境中的一个或多个附加资源，其中环境资源消耗值是指示使用的值 的一个或多个资源。 在非生产环境中识别出一个或多个附加资源。 提供所识别的一个或多个附加资源以处理一个或多个工作负载突发。

公开(公告)号：US09886248B2

公开(公告)日：2018-02-06

申请号：US14667065

申请日：2015-03-24

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Suryakant Routray ,  Abhishek Pratap Singh

IPC: G06F9/44

CPC classification number: G06F8/38 ,  G06F8/36

Abstract: Methods for creating a factory, such as a software factory, a user experience factory, and a persistence factory, for developing one or more Java 2 Platform, Enterprise Edition (J2EE) applications. One or more artifacts related to the J2EE applications, such as code components, workflow scripts, and build scripts, are identified. Further, one or more templates are created for generating the one or more artifacts. The templates may be created based on a predefined architecture and coding conventions. These templates are stored in a repository to enable their subsequent reuse. Thereafter, one or more relationships between the artifacts are defined in a factory schema. Subsequently, the factory is created using the factory schema and the templates. The factory thus created may be used to develop the J2EE applications.

公开(公告)号：US20150199184A1

公开(公告)日：2015-07-16

申请号：US14667065

申请日：2015-03-24

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Suryakant Routray ,  Abhishek Pratap Singh

IPC: G06F9/44

CPC classification number: G06F8/38 ,  G06F8/36

Abstract: Methods for creating a factory, such as a software factory, a user experience factory, and a persistence factory, for developing one or more Java 2 Platform, Enterprise Edition (J2EE) applications. One or more artifacts related to the J2EE applications, such as code components, workflow scripts, and build scripts, are identified. Further, one or more templates are created for generating the one or more artifacts. The templates may be created based on a predefined architecture and coding conventions. These templates are stored in a repository to enable their subsequent reuse. Thereafter, one or more relationships between the artifacts are defined in a factory schema. Subsequently, the factory is created using the factory schema and the templates. The factory thus created may be used to develop the J2EE applications.

Abstract translation: 用于创建一个工厂的方法，如软件工厂，用户体验工厂和持久性工厂，用于开发一个或多个Java 2平台企业版（J2EE）应用程序。 识别与J2EE应用程序相关的一个或多个工件，如代码组件，工作流脚本和构建脚本。 此外，创建一个或多个模板以生成一个或多个工件。 可以基于预定义的体系结构和编码习惯来创建模板。 这些模板存储在存储库中以使其后续重用。 此后，在工厂模式中定义工件之间的一个或多个关系。 随后，使用工厂模式和模板创建工厂。 由此创建的工厂可用于开发J2EE应用程序。

公开(公告)号：US20150178367A1

公开(公告)日：2015-06-25

申请号：US14559642

申请日：2014-12-03

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Arun Viswanathan

IPC: G06F17/30

CPC classification number: G06F16/283 ,  G06F16/254

Abstract: The technique relates to a system and method for implementing petabyte scale online analytical processing solutions using MapReduce. The technique involves receiving an OLAP query from a user through an OLAP-QL Driver. After receiving the query it is parsed through the compiler. Then the metadata information is retrieved from the parsed query through the metadata manager. Validating the parsed query using plan generator module for generating a MapReduce job execution plan based on the retrieved metadata information. The next step is to identify the scope for optimization in the generated MapReduce job execution plan and optimizing the MapReduce job execution plan using the identified scope. Then executing the optimized MapReduce job plan using the execution engine and finally storing the output data in the cube specific distributed file system directory.

Abstract translation: 该技术涉及使用MapReduce实现PB级在线分析处理解决方案的系统和方法。 该技术涉及通过OLAP-QL驱动程序从用户接收OLAP查询。 收到查询后，将通过编译器进行解析。 然后，通过元数据管理器从解析的查询中检索元数据信息。 使用计划生成器模块验证解析的查询，以根据检索到的元数据信息生成MapReduce作业执行计划。 下一步是确定生成的MapReduce作业执行计划中的优化范围，并使用已识别的范围优化MapReduce作业执行计划。 然后使用执行引擎执行优化的MapReduce作业计划，最后将输出数据存储在多维数据集特定的分布式文件系统目录中。

公开(公告)号：US20140149566A1

公开(公告)日：2014-05-29

申请号：US14060600

申请日：2013-10-22

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Mudit Kaushik ,  Akansha Jain

IPC: H04L12/24

CPC classification number: H04L41/12 ,  G06F9/5061 ,  G06F17/16 ,  H04L41/0803 ,  H04L41/0823

Abstract: A computer-implemented method, apparatus, and non-transitory computer-readable medium for determining optimal combinations of elements having multiple dimensions, including removing all multi-dimensional elements from a combination matrix which have a dimension corresponding to a highest classification in a plurality of classifications, iteratively combining one or more multi-dimensional elements from a first end of the combination matrix and one or more multi-dimensional elements from a second end of the combination matrix to generate one or more combined multi-dimensional elements, incrementing a count of packed combinations when a combined multi-dimensional element in the one or more combined multi-dimensional elements has a dimension corresponding to the highest classification in the plurality of classifications, and removing a combined multi-dimensional element in the one or more combined multi-dimensional elements from the combination matrix when the combined multi-dimensional element has a dimension corresponding to the highest classification in the plurality of classifications.

Abstract translation: 一种用于确定具有多个维度的元件的最佳组合的计算机实现的方法，装置和非暂时计算机可读介质，包括从具有对应于多个维度中的最高分类的维度的组合矩阵中移除所有多维元素 分类，迭代地组合来自组合矩阵的第一端的一个或多个多维元素和来自组合矩阵的第二端的一个或多个多维元素以生成一个或多个组合多维元素，增加计数 当一个或多个组合多维元素中的组合多维元素具有与多个分类中的最高分类相对应的维度时的打包组合，以及去除所述一个或多个组合多维度中的组合多维元素 元素从组合矩阵组合的多维el ement具有对应于多个分类中的最高分类的维度。

公开(公告)号：US10574748B2

公开(公告)日：2020-02-25

申请号：US14213489

申请日：2014-03-14

Applicant: Infosys Limited

Inventor： Shyam Kumar Doddavula ,  Mudit Kaushik ,  Arun Vishwanathan

IPC: H04L29/08 ,  H04L12/24 ,  G06F9/50

Abstract: This technology relates to a device, method, and non-transitory computer readable medium for allocating one or more resources optimally in a composite cloud environment. This technology involves configuring organization and service level quota values, describing service composition, service unit, service level agreement, defining allocation model and resource allocation optimization algorithm. Based on these predefined rules the infrastructure, software and manual resources are assigned, future allocation is forecasted and resources are allocated to complete the service requests received from the users.