Cloud service budget optimization scheduling method and device, equipment and storage medium

A technology for optimizing scheduling and cloud services, applied in computing, computing models, instruments, etc., can solve problems such as insufficient scalability and poor adaptability, and achieve the effect of good scalability and the optimization of the total system service cost.

Active Publication Date: 2021-07-16
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above solutions have insufficient scalability and poor adaptability to high-throughput cloud computing system resource management environments.

Method used

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  • Cloud service budget optimization scheduling method and device, equipment and storage medium
  • Cloud service budget optimization scheduling method and device, equipment and storage medium
  • Cloud service budget optimization scheduling method and device, equipment and storage medium

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Embodiment Construction

[0043] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0044] This embodiment is oriented to cloud computing systems, and provides a cloud service budget-constrained particle swarm optimization scheduling method (named RMPSO) based on a random integer matrix. The process is as follows figure 1 shown. This method can use the particle swarm optimization method to obtain the optimization of the total service cost under the budget constraint of the cloud service request, thereby improving the resource management efficiency and performance of the cloud computing system.

[0045] The cloud computing system architecture and cloud service requests targeted by this embodiment are based on the following common situations: the cloud computing system host resources are composed of a group of unlimited physical servers γ={HS 1 ,HS 2,...,HS b}, and can provide physical resources such as CPU, memory, st...

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Abstract

The invention discloses a cloud service budget optimization scheduling method and device, equipment and a storage medium. The method comprises the following steps: firstly, establishing a random integer matrix; taking each element in the random integer matrix as a particle in the particle swarm optimization, and initializing the speed and the position of each particle; updating the speed and the position of the particle; checking, in a descending order, whether the cloud service processing cost provided by the virtual machine represented by each integer in each row of the random integer matrix exceeds the user budget, selecting the first virtual machine which does not exceed the user budget as a cloud service scheduling node, and obtaining a current scheduling scheme after all rows of the random integer matrix are checked; checking whether the current scheduling scheme has the optimal cost or not according to a fitness function, if so, updating the optimal cost scheduling scheme, otherwise, not modifying the optimal scheduling scheme; and then checking whether a preset number of iterations is reached, if so, outputting a scheduling scheme and completing scheduling.

Description

technical field [0001] The present invention relates to the technical field of resource management and cloud service scheduling optimization in cloud computing system software, and in particular to a cloud service budget-constrained particle swarm optimization scheduling method, device, equipment and storage medium based on a random integer matrix. Background technique [0002] With the rapid popularization of Internet of Things (IoT) devices and 5G mobile communication technology, more and more mobile Internet applications, such as electronic transactions, online e-commerce, big data analysis and various application-based IT services, require remote centralized computing servers to process. As an important commercial infrastructure as a service (IaaS) platform, cloud computing is the best solution to this problem. It provides on-demand services to individuals and businesses over the Internet in a cost-effective manner. Famous IT companies around the world, such as Amazon,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G06N3/00
CPCH04L67/10G06N3/006H04L67/63Y02D10/00
Inventor 唐小勇刘艺邓锬吴志强
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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