Load sensing performance optimization method of cloud data center server under energy consumption constraint

Abstract

The invention provides a load sensing performance optimization method of a cloud data center server under an energy consumption constraint, and mainly relates to the fields of electronic information,cloud computing and the like. The method is characterized by comprising the following modules: (1) carrying out overall analysis modeling on the performance and power consumption of a large-scale cloud center server, converting a perception load performance optimization problem of the cloud center server under the constraint of energy consumption into a knapsack problem, and converting the knapsack problem into a directed acyclic graph DAG at the same time; and (2) updating the DAG in real time according to a task arrival rate and a task migration strategy, traversing a shortest path from thesource node S to the destination node D in the DAG by using an improved dynamic programming algorithm, the frequency value on the shortest path being the optimal solution of the problem, and finally,adjusting the running speed of the cloud server in real time according to the obtained frequency value to obtain the optimal performance under the energy consumption constraint. According to the method, the load change can be sensed, and the optimal energy distribution of the cloud center server under the energy consumption constraint can be quickly realized.

Description

technical field [0001] The present invention relates to the fields of electronic information, cloud computing, etc., and in particular relates to the design of a cloud server's perception load performance optimization method under energy consumption constraints. Background technique [0002] The data center is the implementation platform of cloud computing, providing powerful IT hardware support for cloud computing services, especially in large-scale cloud computing environments, it is necessary to build a dedicated large-scale data center to carry complex cloud services (such as Google, Amazon, etc. scale cloud center), and the resulting energy consumption has become one of the primary considerations in cloud center operating costs. Although significant progress has been made in the fields of low-power server design and data center energy efficiency optimization in recent years, as the scale of data centers continues to expand, their overall energy consumption still shows a...

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Problems solved by technology

[0003] Therefore, considering energy costs and environmental protection factors, the energy consumption of the cloud center cannot increase without limit, and its total energy consumption must be limited.

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