| Issue |
MATEC Web Conf.
Volume 128, 2017
2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)
|
|
|---|---|---|
| Article Number | 04013 | |
| Number of page(s) | 4 | |
| Section | Computer Programming | |
| DOI | https://doi.org/10.1051/matecconf/201712804013 | |
| Published online | 25 October 2017 | |
Research on Collaborative Acquisition of Multidimensional Massive Web Based on Fusion Credibility
1 Railway Telecommunication Department, Hunan Technical College of railway high-speed, China
2 CNOOC Zhuhai Natural Gas Co., Ltd., China
a Corresponding author: zhangyajuan2017@sina.com
In the era of rapid development of Internet technology and people’s growing social needs, web information collection has been successfully applied to the major search engines and search areas. In this paper, the mass information collection is regarded as the dynamic task allocation problem based on the co-operation of the package. A multi-dimensional computer resource model is proposed, which uses the heuristic algorithm of the mutation to match the heuristic algorithm. Conditional cost objective function is optimized, so that the whole system in the process of dynamic changes, the time and cost are as small as possible. Finally, the experimental results show that the algorithm can meet the different user requirements on the basis of maximizing the total cost of the system.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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