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Load balancing scheduling method based on improved MMAS

A scheduling method and load balancing technology, applied in program control design, instrumentation, electrical digital data processing, etc., can solve problems such as long calculation execution time and stagnation of local optimal solutions, so as to avoid search stagnation, expand scope, and increase efficiency Effect

Active Publication Date: 2020-06-05
ZHEJIANG UNIV OF TECH
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Problems solved by technology

At the same time, the ant colony algorithm itself also has shortcomings, that is, the calculation execution time is long, and it is easy to fall into a local optimal solution and cause stagnation.

Method used

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  • Load balancing scheduling method based on improved MMAS
  • Load balancing scheduling method based on improved MMAS
  • Load balancing scheduling method based on improved MMAS

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Embodiment Construction

[0040] In order to clarify the purpose, technical solutions and advantages of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments and accompanying drawings.

[0041] refer to Figure 1 to Figure 7 , a load balancing scheduling method based on improved MMAS, comprising the following steps:

[0042] Step 1, parameter and environment initialization, setting time t=0, number of iterations N c =0, the maximum number of iterations N cmax , to initialize the pheromone concentration of the cloud platform virtual machine, according to formulas (1) and (2), limit the value of pheromone in all paths to the maximum value τ max and minimum τ min Between, above or below this area will be automatically adjusted to τ max or τ min , and initialize the position of each ant colony;

[0043] Step 2, if the scheduling conditions are met (if there is an application and the average load is lower than 70%), all ants ran...

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Abstract

The invention discloses a load balancing scheduling method based on an improved MMAS. An ant colony algorithm has high efficiency and feasibility in the aspects of a combinatorial optimization problemand an NP hard problem, and has positive feedback performance, high robustness, high distribution performance and high expansibility. Aiming at the problems that the basic ant colony algorithm is long in calculation execution time and is easy to fall into a local optimal solution to cause stagnation, the invention provides an improved maximum and minimum ant colony algorithm, which effectively eliminates the defect of long algorithm execution time in a bidirectional convergence pheromone updating mode; and then by limiting upper and lower limits of a pheromone concentration allowable value, the premature stagnation of the algorithm is overcome, the understanding range is enlarged, and the optimization is improved. By verifying a classic traveling salesman problem, the algorithm has the advantages of the basic ant colony algorithm, and experiments show that the improved algorithm has higher execution efficiency and better calculation stability.

Description

technical field [0001] The present invention relates to the field of combinatorial optimization algorithms, in particular to a load balancing scheduling method based on the improved Max-Min Ant Colony Algorithm MMAS (Max-Min Ant Colony Algorithm) Background technique [0002] With the vigorous development of computer technology, the traditional computing model can no longer fully meet the needs of users at this stage, and cloud computing has emerged as the times require, which provides users with flexible and scalable computing and storage resources that meet user needs through computer networks. . Cloud computing has a very wide user base, and they are processing massive tasks almost all the time. Therefore, consider how to reasonably allocate and utilize resources in the cloud environment, effectively schedule massive tasks submitted by users, and ensure the load balance of the entire system, but it also faces some problems, which will lead to increased task completion ti...

Claims

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Application Information

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IPC IPC(8): G06F9/455G06N3/00
CPCG06F9/45558G06N3/006G06F2009/4557Y02D10/00
Inventor 李胜王忠超
Owner ZHEJIANG UNIV OF TECH
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