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Particle swarm optimization user request dispatching method facing multi-type service

A particle swarm optimization and user-requested technology, applied to electrical components, transmission systems, etc., can solve problems such as poor handling of discrete optimization problems and easy to fall into local optimal solutions

Inactive Publication Date: 2016-07-06
CIVIL AVIATION UNIV OF CHINA
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  • Claims
  • Application Information

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Problems solved by technology

[0009] The particle swarm optimization algorithm has the advantages of fast search speed, high efficiency, simple algorithm, and suitable for real-valued calculations. However, the algorithm does not handle discrete optimization problems well, and it is easy to fall into local optimal solutions.

Method used

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  • Particle swarm optimization user request dispatching method facing multi-type service
  • Particle swarm optimization user request dispatching method facing multi-type service
  • Particle swarm optimization user request dispatching method facing multi-type service

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Embodiment Construction

[0051] In order to further understand the invention content, characteristics and effects of the present invention, the following examples are given, and detailed descriptions are as follows in conjunction with the accompanying drawings:

[0052] figure 1 The scheduling process of the algorithm is described: after ILinkclient sends a request to the data exchange platform, the request reaches the virtual server of the server cluster through the Internet, and the virtual server provides transparent service access to the outside world, which shields the specific details of the inner physical server. In , user requests are cached in 31 waiting queues, and all queues wait for the scheduling of the load balancing control module. The load balancing module is responsible for collecting resource consumption indicators for each server in the background server cluster according to the service type, and initializing each server after calculation The ratio of allocation requests is based on...

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Abstract

The invention discloses a particle swarm optimization user request dispatching method facing multi-type service. The method comprises the following steps of: 1, initializing parameters, population size and particle construction of a particle swarm optimization algorithm, and calculating computer resource consumed by each service type and loads of server nodes in a cluster; 2, updating the allocation weight of each node of the server cluster, and calculating a fitness function of the cluster; and 3, combined with the set particle swarm parameters, updating the velocity and position of each particle in the particle swarm so as to enable the particles to approach a globally optimal solution. According to the invention, the priority of each server is determined based on the priority of user requests and the resource leisure rate of each server, then the received user requests are dispatched initially according to the priority of the servers, the priority is changed dynamically in real time according to the load state of each server, the load result is optimized by adopting a particle swarm thought, and the particle swarm algorithm is avoided to fall into a locally optimal solution.

Description

technical field [0001] The invention is applied to the field of service request scheduling, and in particular relates to a multi-type service-oriented particle swarm optimization user request scheduling method. Background technique [0002] Service request scheduling is a style often encountered in the system. The choice of service scheduling model directly affects the efficiency of the system. A good scheduling model can increase the throughput of the system and reduce the response time of users, thereby improving the overall throughput of the system. [0003] Commonly used service scheduling models are as follows: first come first served (FCFS), priority scheduling strategy, time slice round robin (RR) and load-based scheduling model. These scheduling models have their own advantages and disadvantages, and are suitable for different application scenarios. [0004] First come, first served (FirstCome, FirstServed, FCFS) is a model that was used more in the early years, and...

Claims

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Application Information

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IPC IPC(8): H04L29/08
CPCH04L67/1012H04L67/1023H04L67/1001
Inventor 李永华申亚坤丁建立李国王怀超
Owner CIVIL AVIATION UNIV OF CHINA
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