Computer cluster based intelligent parallel bee colony algorithm data system

A bee colony algorithm and data system technology, applied in the field of intelligent parallel bee colony algorithm data system, can solve the problems of computing time bottleneck and difficult parallel processing, and achieve the effects of convenient maintenance, small size, and improvement of data transmission bottleneck.

Inactive Publication Date: 2014-12-24
苏州吉浦迅科技有限公司
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The bee colony algorithm is the most effective intelligent prediction algorithm in recent years, but due to a large number of iterative calculations, it is difficult to parallelize the processing, resulting in a huge bottleneck in calculation time, which needs to be improved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Computer cluster based intelligent parallel bee colony algorithm data system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] Describe the present invention in detail below in conjunction with accompanying drawing and specific embodiment:

[0014] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0015] refer to figure 1 , the specific embodiment adopts the following technical scheme: a kind of intelligent parallel bee colony algorithm data system based on computer cluster, comprising cluster system, described cluster system is connected with distributed Hbase classifier, and described distributed Hbase classifier is connected with GPU A high-performance server, the cluster system includes at least two interconnected intelligent network optimization processing systems, and the GPU high-performance server is connected with a display screen for displaying test results.

[0016] In big data applications, first of all the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a computer cluster based intelligent parallel bee colony algorithm data system. The data system comprises a cluster system which is connected with a distributed Hbase classifier, the distributed Hbase classifier is connected with a GPU (graphics processing unit) high-performance server, the cluster system comprises at least two mutually-connected intelligent network optimization processing systems, and the GPU high-performance server is connected with a display screen used for displaying testing results. The data system is small in size, convenient to maintain, safe and reliable.

Description

technical field [0001] The invention relates to an intelligent parallel bee colony algorithm data system based on computer clusters. Background technique [0002] At present, "big data" applications at home and abroad are all focused on the improvement of the "MapReduce" algorithm itself, lacking a "comprehensive" overall improvement plan, resulting in "big data applications" needing to rely on huge computing performance (using hundreds of computers at the same time) , even thousands of store brain clusters), and unstructured database types, resulting in more computing bottlenecks occurring on the network structure of the "data transmission" process, the data transmission process between thousands of nodes (node) , occupying more than 60% of the entire calculation time, so that the performance of the current "big data application" cannot be effectively improved, and it needs to consume a huge amount of computing resources (including power, manpower, management), and it still...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F15/16
Inventor顾海燕陈泳翰陈飞龙
Owner苏州吉浦迅科技有限公司