公开(公告)号：US20130254405A1

公开(公告)日：2013-09-26

申请号：US13846228

申请日：2013-03-18

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Shameemraj M. NADAF ,  Hermant Kumar RATH ,  Anantha SIMHA

IPC: H04L12/24

CPC classification number: H04L41/08 ,  H04L41/0823 ,  H04L41/145

Abstract: A method and system for optimizing a distributed enterprise information technology (IT) network infrastructure is disclosed, wherein the IT infrastructure comprises at least one server, at least one storage element, and at least one network element. The method comprises collecting data and arranging the collected data pertaining to an existing state of the information technology network infrastructure in a first set of templates. The method further comprises mapping the existing state and a new state of at least one of the at least one server and at least one storage element with an existing set of network elements using the first set of templates to form a second set of templates, wherein the method further comprises of planning the new state of the IT network infrastructure for transformation using the first set of templates and the second set of templates, the new state being an optimized state.

Abstract translation: 公开了一种用于优化分布式企业信息技术（IT）网络基础设施的方法和系统，其中IT基础设施包括至少一个服务器，至少一个存储元件和至少一个网络元件。 该方法包括在第一组模板中收集数据并将与信息技术网络基础设施的现有状态有关的所收集的数据进行排列。 该方法还包括使用第一组模板将现有状态和至少一个服务器和至少一个存储元件的新状态与现有的一组网络元素进行映射，以形成第二组模板，其中 该方法还包括使用第一组模板和第二组模板来规划用于转换的IT网络基础设施的新状态，该新状态是优化状态。

公开(公告)号：US20160371603A1

公开(公告)日：2016-12-22

申请号：US15077563

申请日：2016-03-22

Applicant: Tata Consultancy Services Limited

Inventor： Arun Kumar A V ,  Hemant Kumar RATH ,  Shameemraj M. NADAF ,  Anantha SIMHA

IPC: G06N99/00 ,  G06N5/04 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/95 ,  G06F16/951 ,  G06N5/045

Abstract: Methods and Systems for automatic information extraction by performing self-learning crawling and rule-based data mining is provided. The method determines existence of crawl policy within input information and performs at least one of front-end crawling, assisted crawling and recursive crawling. Downloaded data set is pre-processed to remove noisy data and subjected to classification rules and decision tree based data mining to extract meaningful information. Performing crawling techniques leads to smaller relevant datasets pertaining to a specific domain from multi-dimensional datasets available in online and offline sources.

Abstract translation: 提供了通过执行自学习爬行和基于规则的数据挖掘自动信息提取的方法和系统。 该方法确定输入信息中的爬网策略的存在，并执行前端抓取，辅助爬行和递归爬行中的至少一个。 下载的数据集被预先处理，以去除噪声数据，并进行分类规则和基于决策树的数据挖掘，以提取有意义的信息。 执行爬网技术会导致与在线和离线资源中提供的多维数据集相关的特定域的较小的相关数据集。