Data stream scheduling method and equipment

A scheduling method and data flow technology, applied in the computer field, can solve the problems such as the inability to effectively reduce the average transmission time of coflow and the low efficiency of big data processing, so as to shorten the waiting time for transmission, reduce the average transmission time and improve the efficiency.

Pending Publication Date: 2021-10-19
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the data flow scheduling method in the prior art cannot effectively reduce the average transmission time of coflow, resulting in low efficiency of big data processing

Method used

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  • Data stream scheduling method and equipment
  • Data stream scheduling method and equipment
  • Data stream scheduling method and equipment

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Embodiment Construction

[0039] In order to make the purpose, technical solutions and advantages of the present application, the embodiments of the present application will be described below with reference to the accompanying drawings. Obviously, the described embodiments are merely embodiments of the present disclosure, not all of the embodiments. One of ordinary skill in the art can be seen that as the new application scenario has, the technical solution provided in the present application is equally applicable to similar technical problems.

[0040] The description and claims of the present application and the terms "first", "second", and the like in the above drawings are used to distinguish similar objects without having to describe a particular order or award order. It should be understood that the description of this can be interchanged in place to enable the embodiment to be implemented in order other than the content illustrated or described in the present application. Moreover, the terms "inclu...

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Abstract

The invention discloses a data stream scheduling method and network equipment, which are used for performing hierarchical scheduling on a data stream group based on two dimensions of transmission time and bandwidth consumption of the data stream group in a certain time period, effectively reducing the average transmission time of the data stream group and improving the efficiency of big data processing. The network equipment determines transmission time of the first data flow group and the second data flow group; then, the network equipment determines first scheduling priorities of the first data flow group and the second data flow group according to the predicted transmission time; if the first scheduling priorities of the first data flow group and the second data flow group are the same, the network equipment determines the second scheduling priorities of the first data flow group and the second data flow group according to the bandwidth consumption of the first data flow group and the second data flow group in a certain time period; and finally, the network equipment determines a scheduling sequence between the first data flow group and the second data flow group according to the second scheduling priorities of the first data flow group and the second data flow group.

Description

Technical field [0001] The present application relates to the field of computer technology, and more particularly to a data stream degree method and apparatus. Background technique [0002] With the rapid development of Internet technology and the rapid development of Internet of Things technology, a large number of equipment and applications continue to generate data. These data are stored in the data center, and large data analysis processing for these data has become current research hotspots. [0003] Typically, a large data processing task transmits a large amount of data over the network. Among them, many parallel data streams are generally required during data transmission, which can be abstracted into a polymerization stream (COFLOW, which is also referred to as a data stream group). Since most of the big data processing tasks, transfer Coflow often requires a lot of time. Therefore, the completion time of the big data processing task is largely dependent on the time of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/20H04W28/24
CPCH04W28/20H04W28/24
Inventor 于文静黄伊夏寅贲
Owner HUAWEI TECH CO LTD
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