Storm big data energy-saving scheduling method based on energy consumption perception

A technology of energy consumption perception and scheduling method, applied in energy-saving computing, database update, structured data retrieval, etc., can solve problems such as long response time and high energy consumption

Active Publication Date: 2019-04-12
广州大鱼创福科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

We need to understand how to minimize energy consumption in data centers, as well as address high energy consumption and long response times in most existing studies

Method used

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  • Storm big data energy-saving scheduling method based on energy consumption perception
  • Storm big data energy-saving scheduling method based on energy consumption perception
  • Storm big data energy-saving scheduling method based on energy consumption perception

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] The default scheduling algorithm of the storm system does not take energy consumption into account. The purpose of the present invention is to provide a Storm energy-saving scheduling algorithm based on energy consumption perception, so that the total energy consumption of tasks allocated by slots is minimized, so as to achieve the goal of energy saving. purpose, such as image 3 , including the following steps:

[0033] S1. Build a big data computing ...

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Abstract

The invention relates to the field of big data processing and energy consumption, in particular to a Storm big data energy-saving scheduling method based on energy consumption perception, which comprises the following steps: constructing an improved Storm computing framework-based big data computing energy consumption model, and establishing an energy consumption priority table of tasks and computing resources; after the task is submitted, whether task related information exists in a database of the energy consumption model or not is judged, and if yes, the task is distributed to the low-energy-consumption process according to the energy consumption priority in the database; otherwise, distributing the task to each node in the cluster; Monitoring the energy consumption information on eachprocess, writing the energy consumption information into a database of an energy consumption model, judging the priority of the task according to the energy consumption model, updating a priority list, and re-submitting the task; according to the scheduling strategy algorithm, the operation energy efficiency of the big data program can be improved, meanwhile, the service level protocol is met, andthe cost of the whole data center can be remarkably reduced by improving the energy efficiency of big data calculation of the data center.

Description

technical field [0001] The invention relates to the fields of big data processing and energy consumption, in particular to a Storm big data energy-saving scheduling method based on energy consumption awareness. Background technique [0002] Today's society is a society of rapid development, with advanced technology and convenient information, the communication between people is getting closer and closer, and life is becoming more and more convenient. Big data is the product of this high-tech era. The application of big data is also showing its advantages more and more, and it occupies more and more fields, such as e-commerce, O2O, logistics distribution, etc., and various fields that use big data for development are assisting enterprises to continuously develop new businesses , Innovate the operation mode. With the concept of big data, the judgment of consumer behavior, the forecast of product sales, the precise scope of marketing and the replenishment of inventory have bee...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/50G06F16/23G06F16/27
CPCG06F9/4881G06F9/5038G06F9/505Y02D10/00
Inventor 李鸿健付豪熊安萍蒋溢
Owner 广州大鱼创福科技有限公司
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