Cloud computing energy consumption optimization method and system based on phase space

Abstract

The invention relates to the field of cloud computing, and discloses a cloud computing energy consumption optimization method and system based on a phase space, in order to optimize the energy consumption in cloud computing, reduce the task allocation time and improve the task allocation efficiency. The method disclosed by the invention comprises the following steps: obtaining all nodes in a cloudcomputing system, and context environmental information of the nodes, and establishing an energy consumption model; measuring the total energy consumption of all tasks that are being executed of thenodes, and establishing a static energy consumption phase space according to the total energy consumption; predicting the energy consumption required for a newly added task by using the energy consumption model, and establishing a dynamic energy consumption phase space; calculating according to the static energy consumption phase space to obtain an optimal sub-phase space; and predicting the energy consumption of the newly added task in the nodes in the optimal sub-phase space, designing a task scheduling algorithm according to the static energy consumption phase space and the dynamic energy consumption phase space, and determining an optimal task allocation scheme of the newly added task.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a cloud computing energy optimization method and system based on phase space. Background technique [0002] The emergence of cloud computing enables enterprises to obtain a large amount of computing and storage resources online, and only needs to pay according to the length of use of resources, avoiding investment in expensive IT infrastructure. With the rapid development of cloud computing technology, the number of global cloud computing data centers is increasing, and the annual energy consumed by data centers accounts for an increasing proportion of the world's energy consumption. While the cloud computing data center consumes a large amount of energy every year, it also puts a certain pressure on the environment (such as the greenhouse gas generated by the data center). The energy consumption of cloud computing has gradually become the focus of researchers. The cloud computing...

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Problems solved by technology

However, the above energy consumption model is more concerned with the energy consumption status of a single server node, and the energy consumption estimation of the high-performance computing center is simply to accumulate the energy consumption of the server nodes

Therefore, the above method is more suitable for the situation where the energy consumption state coupling between servers is not obvious, and is not suitable for highly coupled cloud computing systems

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