Scheduling method based on green-energy-aware

Abstract

A scheduling method based on green-energy-aware uses solar energy as green energy and conducts optimizing and distributing on works reaching a data center. The scheduling method based on green-energy-aware comprises the following steps: predicting according to illuminated scope and weather conditions to acquire solar energy which can be used by the data center; preprocessing the works reaching to the data center, each work comprising a plurality of tasks, communication constraint relationships existing among all tasks, conducting grading on works needing to schedule according to the communication constraint relationships in works, and gradually distributing tasks without communication constraint relationships to every grade; under requirement of meeting work time limit, conducting scheduling on preprocessed work assembly according to grades, sequentially distributing task of every grade to every server, fully considering loss conditions of the servers and communication network in the distributing process, and aiming at achieving highest solar energy use ratio. The scheduling method based on green-energy-aware can be applied to scheduling of the data center of random dynamic, achieve the effect that the solar energy use ratio is highest and cost of the data center and carbonic emission are lowered.

Description

technical field [0001] The invention relates to a scheduling method using solar energy in a data center, in particular to a scheduling method based on green energy perception, and belongs to the technical field of the Internet. Background technique [0002] With the rapid development of Internet technology, in order to provide users with fast, high-quality and secure services, data centers are becoming more and more important as service providers. At present, many large Internet-based companies in the world (such as Google, Amazon, Yahoo, etc.) have their own data centers to handle service requests from all over the world. According to statistics, the power consumption of data centers is very large, accounting for 1.3% of the total global power consumption, and this proportion is expected to rise to 8% in 2020. Most of the electricity in the data center is supplied by coal power, and the combustion of coal will produce a large amount of carbon emissions, which will cause se...

AI Technical Summary

Problems solved by technology

(2) Poor predictability

(3) Difficult to store

The advantage of the first method above is that it uses green energy. The disadvantage is that the model is too simple and does not consider the data center communication network. The advantage of the second method is that it reduces the energy consumption of the system through a reasonable scheduling method, but it does not use green energy. Failure to reduce data center costs and carbon emissions

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