Cloud computing resource scheduling system and method

Abstract

The invention discloses a cloud computing resource scheduling system and method. The cloud computing resource scheduling method includes that building a resource distribution model according to task number and resource number, and defining a resource distribution matrix, a resource scheduling time matrix and a scheduling target; generating codes of an initial population according to a code rule; computing the fitness value of the population according to fitness functions; selecting a dominant population according to the fitness value; updating the population through learning factors, and generating the next generation of new population according to the updating result; judging whether conforming to stop conditions, if so, stopping, and obtaining the optimal solution; otherwise, returning to compute the fitness value; decoding the optimal solution according to a decoding rule to obtain the resource distribution result. The cloud computing resource scheduling system and method are capable of well solving the cloud computing resource distribution problem.

Description

technical field [0001] The present invention relates to a cloud computing resource scheduling scheme, in particular to a cloud computing resource scheduling system and method based on a distribution estimation algorithm. Background technique [0002] Cloud computing stores all resources virtualized in a resource pool, and transparently schedules these resources for use by various tasks. Therefore, the key part of cloud computing is the virtualization mapping between the application layer and the virtual resource layer. The resource allocation problem is to find an optimal solution to achieve a reasonable mapping between tasks and resources. How to find a reasonable allocation plan, resource scheduling is the key. [0003] Liang Guicai et al. published in the "Journal of Nanning Vocational and Technical College" "Application of Min-Min Algorithm to Solve Dependent Task Scheduling" proposed a classic scheduling algorithm to solve the problem of resource allocation. The perfo...

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Problems solved by technology

[0003] Liang Guicai et al. published in the "Journal of Nanning Vocational and Technical College" "Application of Min-Min Algorithm to Solve Dependent Task Scheduling" proposed a classic scheduling algorithm to solve the problem of resource allocation. The performance is not good when the scale of data is large; Zhen Xiao et al. published "Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment" in "IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS" to effectively solve the problem of resource allocation by using the idea of ​​economics. The class algorithm is accurate, but the modeling process is too complicated

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