Invention Grant
US08949642B2 Method for dynamically distributing one or more services in a network comprising of a plurality of computers by deriving a resource capacity required based on a past chronological progression of a resource demand 有权
一种用于通过导出基于资源需求的过去时间顺序所需的资源容量来动态地分布在包括多个计算机的网络中的一个或多个服务的方法

  • Patent Title: Method for dynamically distributing one or more services in a network comprising of a plurality of computers by deriving a resource capacity required based on a past chronological progression of a resource demand
  • Patent Title (中): 一种用于通过导出基于资源需求的过去时间顺序所需的资源容量来动态地分布在包括多个计算机的网络中的一个或多个服务的方法
  • Application No.: US13112702
    Application Date: 2011-05-20
  • Publication No.: US08949642B2
    Publication Date: 2015-02-03
  • Inventor: Marko HoyerDaniel Schlitt
  • Applicant: Marko HoyerDaniel Schlitt
  • Applicant Address: DE Oldenburg
  • Assignee: Offis e.V.
  • Current Assignee: Offis e.V.
  • Current Assignee Address: DE Oldenburg
  • Agency: Arent Fox LLP
  • Priority: DE102010029209 20100521
  • Main IPC: G06F9/455
  • IPC: G06F9/455 G06F15/16 G06F9/50 G06F15/173 H04L12/911
Method for dynamically distributing one or more services in a network comprising of a plurality of computers by deriving a resource capacity required based on a past chronological progression of a resource demand
Abstract:
The invention relates to a method for dynamically distributing one or more services in a network comprised of a plurality of computers. According to certain aspects of the invention, a past chronological progression of a resource capacity required for a respective service according to a prescribed service requirement is derived from a past chronological progression of the resource demand for the respective service in a predetermined time interval. The past chronological progression of the resource capacity required for the respective service is then used to predict a chronological progression of the resource capacity required for the respective service. The services performed on the computers are finally distributed based on one or more optimization criteria, including that the respective computers provide enough resources for the services performed on the respective computers based on the predicted chronological progressions of the resource capacities required for the respective services.
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