公开(公告)号：US20170011345A1

公开(公告)日：2017-01-12

申请号：US14794432

申请日：2015-07-08

Applicant: Xerox Corporation

Inventor： Atul Singh ,  Aditya Hegde ,  Koustuv Dasgupta ,  Varun Sharma

IPC: G06Q10/10 ,  H04L12/58 ,  H04L29/08

CPC classification number: G06Q10/1057 ,  H04L51/02 ,  H04L51/04 ,  H04L67/02 ,  H04L67/22 ,  H04L67/306

Abstract: A network computer automatically creates a message plan (based on plan actions and an action order input by an administrator through an administrator website) and executes the message plan based on a user initiating the message plan through a user website. The process of executing the message plan comprises automatically selecting a list of user-specific messages (based on the precondition rules and a user profile of the user using the network computer), automatically providing the user-specific messages to the user through the user website, and automatically monitoring whether the user completes the actions corresponding to the user-specific messages (based on feedback from the user through the user website). The administrator website automatically outputs whether the user completes the actions corresponding to the user-specific messages, and automatically provides a plan revision input that receives changes to the plan actions, the action order, the messages, the precondition rules, and the effect rules.

Abstract translation: 网络计算机自动创建消息计划（基于计划操作和管理员通过管理员网站输入的动作顺序），并且基于通过用户网站发起消息计划的用户执行消息计划。 执行消息计划的过程包括自动选择用户特定消息的列表（基于前提条件和使用网络计算机的用户的用户简档），通过用户网站自动地向用户提供用户特定消息 并且自动监视用户是否完成与用户特定消息相对应的动作（基于来自用户通过用户网站的反馈）。 管理员网站自动输出用户是否完成与用户特定消息相对应的操作，并自动提供计划修订输入，以接收计划操作，操作顺序，消息，前提条件和效果规则的更改。

公开(公告)号：US20180004499A1

公开(公告)日：2018-01-04

申请号：US15197808

申请日：2016-06-30

Applicant: XEROX CORPORATION

Inventor： Rahul Ghosh ,  Tridib Mukherjee ,  Aditya Hegde ,  Varun Sharma

IPC: G06F9/445 ,  G06F9/50

CPC classification number: G06F8/61 ,  G06F9/5083

Abstract: A method and a system are provided for provisioning an application on one or more physical machines by use of operating system (OS) containers to resolve OS process overheads. The method includes receiving a first set of parameters and service level agreements (SLAs) of the application. The method further includes extracting a second set of parameters of each of the one or more physical machines. Further, the method includes determining a count of OS containers to deploy in parallel for each physical machine, based on the first set of parameters of the application and the second set of parameters of the each physical machine. The method further includes processing the application on the each physical machine based on at least the plurality of the determined count of OS containers such that a second provision time of the application is less or equal to the first provision time.