公开(公告)号：US11062047B2

公开(公告)日：2021-07-13

申请号：US14900061

申请日：2014-06-09

Applicant: Tata Consultancy Services Limited

Inventor： Arijit Mukherjee ,  Soma Bandyopadhyay ,  Arijit Ukil ,  Abhijan Bhattacharyya ,  Swarnava Dey ,  Arpan Pal ,  Himadri Sekhar Paul

IPC: G06F9/50 ,  H04L29/06 ,  G06F21/62 ,  H04L12/26 ,  H04L29/08 ,  H04L9/00 ,  H04W12/02

Abstract: This disclosure relates generally to the use of distributed system for computation, and more particularly, relates to a method and system for optimizing computation and communication resource while preserving security in the distributed device for computation. In one embodiment, a system and method of utilizing plurality of constrained edge devices for distributed computation is disclosed. The system enables integration of the edge devices like residential gateways and smart phone into a grid of distributed computation. The edged devices with constrained bandwidth, energy, computation capabilities and combination thereof are optimized dynamically based on condition of communication network. The system further enables scheduling and segregation of data, to be analyzed, between the edge devices. The system may further be configured to preserve privacy associated with the data while sharing the data between the plurality of devices during computation.

公开(公告)号：US10776621B2

公开(公告)日：2020-09-15

申请号：US15901978

申请日：2018-02-22

Applicant: Tata Consultancy Services Limited

Inventor： Snehasis Banerjee ,  Swarnava Dey ,  Arijit Mukherjee ,  Swagata Biswas

IPC: G06K9/00 ,  G01R13/02 ,  G06F17/14 ,  G06N3/08 ,  G06N3/04

Abstract: Signal analysis is applied in various industries and medical field. In signal analysis, wavelet analysis plays an important role. The wavelet analysis needs to identify a mother wavelet associated with an input signal. However, identifying the mother wavelet associated with the input signal in an automatic way is challenging. Systems and methods of the present disclosure provides signal analysis with automatic selection of wavelets associated with the input signal. The method provided in the present disclosure receives the input signal and a set of parameters associated with the signal. Further, the input signal is analyzed converted into waveform. The waveforms are analyzed to provide image units. Further, the image units are processed by a plurality of deep architectures. The deep architectures provides a set of comparison scores and a matching wavelet family is determined by utilizing the set of comparison scores.

公开(公告)号：US20150163289A1

公开(公告)日：2015-06-11

申请号：US14498619

申请日：2014-09-26

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Himadri Sekhar Paul ,  Arijit Mukherjee ,  Swarnava Dey ,  Arpan Pal ,  Ansuman Banerjee

IPC: H04L29/08

CPC classification number: H04L67/10 ,  G06F9/5066 ,  G06F2209/5017 ,  H04L43/0811 ,  H04L43/0817 ,  H04L67/02

Abstract: A method for data partitioning in an internet-of-things (IoT) network is described. The method includes determining number of computing nodes in the IoT network capable of contributing in processing of a data set. At least one capacity parameter associated with each computing node in the IoT network and each communication link between a computing node and a data analytics system can be ascertained. The capacity parameter can indicate a computational capacity for each computing node and communication capacity for each communication link. An availability status, indicating temporal availability, of each of computing nodes and each communication link is determined. The data set is partitioned into subsets, based on the number of computing nodes, the capacity parameter and the availability status, for parallel processing of the subsets.

Abstract translation: 描述了在物联网（IoT）网络中进行数据划分的方法。 该方法包括确定能够有助于处理数据集的IoT网络中的计算节点的数量。 可以确定与IoT网络中的每个计算节点相关联的至少一个容量参数以及计算节点和数据分析系统之间的每个通信链路。 容量参数可以指示每个计算节点的计算能力和每个通信链路的通信容量。 确定每个计算节点和每个通信链路的可用性状态，指示时间可用性。 基于计算节点的数量，容量参数和可用性状态，数据集被划分为子集，用于子集的并行处理。

公开(公告)号：US11249488B2

公开(公告)日：2022-02-15

申请号：US15824758

申请日：2017-11-28

Applicant: Tata Consultancy Services Limited

Inventor： Swarnava Dey ,  Arijit Mukherjee

IPC: G05D1/02 ,  H04L29/08 ,  G06Q10/06 ,  B25J9/16 ,  G05B19/418

Abstract: A system and method for offloading scalable robotic tasks in a mobile robotics framework. The system comprises a cluster of mobile robots and they are connected with a back-end cluster infrastructure. It receives scalable robotic tasks at a mobile robot of the cluster. The scalable robotics tasks include building a map of an unknown environment by using the mobile robot, navigating the environment using the map and localizing the mobile robot on the map. Therefore, the system estimate the map of an unknown environment and at the same time it localizes the mobile robot on the map. Further, the system analyzes the scalable robotics tasks based on computation, communication load and energy usage of each scalable robotic task. And finally the system priorities the scalable robotic tasks to minimize the execution time of the tasks and partitioning the SLAM with computation offloading in edge network and mobile cloud server setup.

公开(公告)号：US10911543B2

公开(公告)日：2021-02-02

申请号：US16353108

申请日：2019-03-14

Applicant: Tata Consultancy Services Limited

Inventor： Swagata Biswas ,  Swarnava Dey ,  Arijit Mukherjee ,  Arpan Pal

IPC: G06F15/16 ,  H04L29/08 ,  H04L12/911

Abstract: Cloud robotics infrastructures generally support heterogeneous services that are offered by heterogeneous resources whose reliability or availability also varies widely with varying lifetime. For such systems, defining a static redundancy configuration for all services is difficult and often biased. Also, it is not feasible to define a redundancy configuration separately for each unique service. Therefore, in the present disclosure a trade-off between the two is ensured by providing At-most M-Modular Flexible Redundancy Model wherein an exact degree of redundancy is defined and is given to each service in a heterogeneous service environment and monitoring each task and subtask status to ensure that each subtask gets accomplished thereby enabling the tuning of the tradeoff between redundancy and cost and determining efficiency of the system by estimating number of resources utilized to complete specific subtask and comparing the resources utilization with the exact degree of redundancy defined.

公开(公告)号：US09471383B2

公开(公告)日：2016-10-18

申请号：US14667459

申请日：2015-03-24

Applicant: Tata Consultancy Services Limited

Inventor： Himadri Sekhar Paul ,  Arijit Mukherjee ,  Ansuman Banerjee ,  Swarnava Dey ,  Arpan Pal ,  Pubali Datta

IPC: G06F9/50

CPC classification number: G06F9/5027 ,  G06F9/5044 ,  G06F9/505

Abstract: A method comprises, receiving, at each of a plurality of computing devices, a task execution estimation request message from a central server, the task execution estimation request message comprising a worst-case execution time (WCET) corresponding to the computing device. The method further comprises, computing, by each of the plurality of computing devices, an estimate task execution time for the task based on the WCET and a state transition model corresponding to the computing device, wherein the state transition model indicates available processing resources corresponding to the computing device. Further, the method comprises transmitting, by each of the plurality of computing devices, the estimate task execution time to the central server for allocation of the task to a computing device from amongst the plurality of computing devices based on the estimate task execution time corresponding to the computing device.

Abstract translation: 一种方法包括：从多个计算设备中的每一个接收来自中央服务器的任务执行估计请求消息，所述任务执行估计请求消息包括对应于所述计算设备的最坏情况执行时间（WCET）。 该方法还包括：由多个计算设备中的每一个计算基于WCET的任务的估计任务执行时间和对应于该计算设备的状态转换模型，其中该状态转换模型指示对应于 计算设备。 此外，该方法包括由多个计算设备中的每个计算设备将估计任务执行时间发送到中央服务器，用于基于与多个计算设备对应​​的估计任务执行时间从多个计算设备中的任务分配到计算设备 计算设备。

公开(公告)号：US20160119248A1

公开(公告)日：2016-04-28

申请号：US14665979

申请日：2015-03-23

Applicant: TATA CONSULTANCY SERVICES LIMITED

Inventor： Swarnava Dey ,  Arijit Mukherjee ,  Pubali Datta ,  Himadri Sekhar Paul

IPC: H04L12/923 ,  H04L12/927 ,  H04L12/911 ,  H04L12/26

CPC classification number: H04L47/762 ,  G06F9/4843 ,  G06F9/485 ,  G06F9/5022 ,  H04L43/14 ,  H04L47/803 ,  H04L47/821

Abstract: Methods and devices for controlling execution of a data analytics application on a computing device are described. The devices include an alert app to prompt a user on system load and to recommend the user for proactively controlling the execution of a set of processes to reclaim computational resources required for execution of the data analytics application on the devices.

Abstract translation: 描述了用于控制计算设备上的数据分析应用的执行的方法和设备。 这些设备包括提醒用户系统负载的警报应用，并且推荐用户主动地控制一组进程的执行以回收在设备上执行数据分析应用所需的计算资源。

公开(公告)号：US20150007185A1

公开(公告)日：2015-01-01

申请号：US14317272

申请日：2014-06-27

Applicant: Tata Consultancy Services Limited

Inventor： Swarnava Dey ,  Arpan Pal ,  Arijit Mukherjee ,  Himadri Sekhar Paul

IPC: G06F9/48 ,  G06F9/50

CPC classification number: G06F9/4843 ,  G06F9/4881 ,  G06F9/5072 ,  G06F9/52 ,  H04L67/10

Abstract: Described herein, are methods and devices for execution of a task in a grid computing system. According to an implementation, free time-slots are identified and durations of the free time-slots are estimated, by an edge device, for execution of a sub-task. The free time-slots are indicative of an idle state of the edge device. At least one computation capability parameter of the edge device is determined by the edge device for execution of a sub-task during the free time-slots. An advertisement profile having at least one free time-slot, and the duration and the at least one computation capability parameter associated with the at least one free time-slot is created by the edge device. The advertisement profile is provided by the edge device to grid servers in the grid computing system for partitioning a main task to create a sub-task executable by the edge device.

Abstract translation: 这里描述的是用于在网格计算系统中执行任务的方法和装置。 根据实施方式，识别空闲时隙，并由边缘设备估计空闲时隙的持续时间，以执行子任务。 空闲时隙表示边缘设备的空闲状态。 边缘设备的至少一个计算能力参数由边缘设备确定，以在空闲时隙期间执行子任务。 具有至少一个空闲时隙的广告简档，以及与所述边缘设备一起创建与所述至少一个空闲时隙相关联的所述持续时间和所述至少一个计算能力参数。 该广告简档由边缘设备提供给网格计算系统中的网格服务器，用于划分主要任务以创建由边缘设备可执行的子任务。