公开(公告)号：US09825815B2

公开(公告)日：2017-11-21

申请号：US14838736

申请日：2015-08-28

Applicant: Tata Consultancy Services Limited

Inventor： Soma Bandyopadhyay ,  Shameemraj M Nadaf

IPC: H04L12/24 ,  H04L12/709 ,  H04L12/721 ,  H04L12/26

CPC classification number: H04L41/0896 ,  H04L43/0864 ,  H04L45/245 ,  H04L45/70

Abstract: The present invention provides a system and method for aggregating and estimating the bandwidth of the multiple network interfaces. Particularly, the invention provides a cross layer system for bandwidth aggregation based on dynamic analysis of network conditions. Further, the invention provides a system and method of estimation for evaluating bandwidth of multiple physical interfaces.

公开(公告)号：US10367701B2

公开(公告)日：2019-07-30

申请号：US15253115

申请日：2016-08-31

Applicant: Tata Consultancy Services Limited

Inventor： Shameemraj M Nadaf ,  Hemant Kumar Rath ,  Arun Kumar A V ,  Samar Shailendra ,  Anantha Simha

IPC: H04L12/24 ,  H04L29/08 ,  H04L12/64 ,  G06F9/50

Abstract: This disclosure relates generally to provisioning network services in a cloud computing environment, and more particularly to framework for provisioning network services in a heterogeneous cloud computing environment. In one embodiment, the disclosure includes a network as a service (NaaS) layer under a cloud provisioning platform. The NaaS layer can be interfaced with any cloud provisioning platform. The NaaS layer serves the networking needs of the heterogeneous cloud environment. It provides network services like monitoring, notifications, QoS policies, network topology and other services. For example, the cloud provisioning platform defines a virtual network and attaches a plurality of virtual machines to it. All the communications related to creation/deletion/update of virtual networks, virtual subnets, virtual ports, virtual router, virtual interfaces etc., are sent to the NaaS layer. On receiving the communication, the NaaS layer takes necessary steps to provide the network services as per the needs of the request. Apart from provisioning, the NaaS layer periodically monitors the network elements as well.

公开(公告)号：US10762437B2

公开(公告)日：2020-09-01

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: G06N20/00 ,  G06F16/951 ,  G06F16/95 ,  G06N5/04

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.

公开(公告)号：US10361909B2

公开(公告)日：2019-07-23

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

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.