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：US10320704B2

公开(公告)日：2019-06-11

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 ,  G06F9/48 ,  G06F9/50

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.

公开(公告)号：US20160011908A1

公开(公告)日：2016-01-14

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。