A energy consumption optimization resource scheduling system and a method thereof

Abstract

The invention discloses a container cluster-oriented energy consumption optimization resource scheduling system and and a method for thereof. The system comprises a server resource monitor, a container performance test pool, a container energy consumption model manager, a container energy consumption caching module, a container scheduling decision-making device, a dynamic adjustment module and a plurality of servers. The scheduling method comprises the steps of: periodically collecting characteristic parameters of the container operation environment and checking the state of the container energy consumption estimation model; and according to the energy consumption estimation value of the container energy consumption estimation model, performing dynamic optimization scheduling decision, meanwhile, copying the container in the production environment to the container performance test pool to iteratively train the data set and update the model to improve the accuracy of the container energy consumption estimation value. The scheduling strategy is customized with the minimum overall energy consumption of the data center as the target, the requested container is scheduled to a proper server in real time to achieve the optimal energy consumption, the self-updating and iteration capacity is achieved, server resources are integrated while the energy consumption is reduced, the resourceutilization rate is increased, and the operation cost of the data center is saved.

Description

technical field [0001] The invention relates to the field of energy consumption resource management, in particular to a container cluster-oriented energy consumption optimization resource scheduling system and a method thereof. Background technique [0002] Energy consumption has always been a prominent problem in data centers, especially with the advent of the cloud computing era, more computing resources and storage resources are concentrated in the cloud, which brings greater challenges to the efficient management of energy consumption. Data from the U.S. Department of Energy show that data center energy consumption accounts for 1.5% of all energy consumption in the United States, and the demand for electric energy is still growing at a rate of 12% per year. By 2011, data centers will consume 100 billion kWh Electric energy, which costs about $7.4 billion a year. The high energy consumption of the data center not only causes waste of electric energy and unstable system o...

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Problems solved by technology

[0002] Energy consumption has always been a prominent problem in data centers, especially with the advent of the cloud computing era, more computing resources and storage resources are concentrated in the cloud, which brings greater challenges to the efficient management of energy consumption

However, they only use a simple container scheduling strategy to maintain the availability and scalability of container applications (HPA, Horizontal PodAutoscaler), and as the number of containers in the data center increases, the scheduling scenarios become more and more complex. Therefore, these systems Scheduling shortcomings are becoming more and more obvious

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