A method and system for collaboratively optimizing cloud operator energy consumption and user expenditure

Abstract

The invention discloses a method and system for collaboratively optimizing cloud operator energy consumption and user expenditure. Aiming at the current cloud data center, the average resource utilization rate is not high, and the operators of the PaaS layer and the IaaS layer do not communicate with each other, resulting in double waste of resources and energy consumption. The system of the present invention sets a PB module on the PaaS layer for negotiation between PaaS and IaaS. The PB module applies for resources from multiple IaaS layer operators and sends multiple request plans according to the task type and resource requirements corresponding to the task. The IB module set by the IaaS layer operator returns reference quotations for different request plans according to resource requirements and task types for PB Module sorting and recommendation to users. On the one hand, the present invention can improve resource utilization and reduce energy consumption of cloud operators; on the other hand, it can provide flexible and different billing schemes, and can minimize User's financial expenses.

Description

technical field [0001] The invention relates to the field of cloud computing, and specifically designs a method and system for collaboratively optimizing the energy consumption overhead of cloud operators and the economic overhead of users. Background technique [0002] Cloud computing is a business model based on resource sharing. Through cloud computing, the software and hardware resources shared by service providers can be provided to users according to user needs. Cloud computing data center provides hardware and software resources as the infrastructure of cloud computing. In terms of architecture, cloud computing is mainly divided into IaaS, PaaS and SaaS. Among them, IaaS (Infrastructure as a Service), infrastructure as a service, mainly provides computing resources through virtualization technology, and provides users with computing, storage, network and other computing resources. , users can use the allocated resources, but cannot control the cloud computing infrast...

AI Technical Summary

Problems solved by technology

For IaaS layer operators to open a physical machine for a single task, if no new task arrives for a long time, the basic power consumption of the physical machine will consume a lot of unnecessary energy; from the perspective of PaaS operators , as long as the user pays the relevant fees, the operator will not give priority to the waste of resources and energy, and the expenses caused by the waste of resources and energy will eventually be shared among the economic expenses of each user

However, as for the utilization rate of various resources of the cloud computing resources purchased by the user in the end, the user does not know

Users may pay for the additional economic expenses caused by unreasonable use of resources and energy by cloud operators

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