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Title:
CLOUD COMPUTING TASK ALLOCATION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2019/196127
Kind Code:
A1
Abstract:
The present invention is applicable to the technical field of computers, and provides a cloud computing task allocation method and apparatus, a device, and a storage medium. The method comprises: upon receipt of a cloud task allocation request, constructing, according to cloud computing tasks to be allocated in the cloud task allocation request, a cloud task allocation model; performing first preset number of optimizations on the allocation of cloud computing tasks by means of the cloud task allocation model and an ant colony optimization algorithm to generate first preset number of intermediate allocation paths; performing second preset number of optimizations on the intermediate allocation paths by means of a genetic algorithm to generate an optimal allocation path of the cloud computing task; and allocating the cloud computing tasks to a virtual machine in cloud environment according to the optimal allocation path. Accordingly, the cloud computing task allocation performance is effectively improved by means of a hybrid swarm intelligence algorithm combining the ant colony optimization and genetic algorithms, short response time and completion time of the cloud computing task are guaranteed, and thus the service quality and user experience of a cloud computing platform are improved.

Inventors:
ZHANG YONG (CN)
TANG LINLIN (CN)
ZHAO DONGNING (CN)
HE RONGYU (CN)
LIANG CHANGYIN (CN)
ZENG QINGHAO (CN)
Application Number:
PCT/CN2018/083135
Publication Date:
October 17, 2019
Filing Date:
April 15, 2018
Export Citation:
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Assignee:
UNIV SHENZHEN (CN)
HARBIN INST TECHNOLOGY SHENZHEN GRADUATE SCHOOL (CN)
International Classes:
G06F9/48
Foreign References:
CN103345657A2013-10-09
CN106936892A2017-07-07
CN107133095A2017-09-05
US20170329643A12017-11-16
Attorney, Agent or Firm:
SHENZHEN YOUTH PATENT AND TRADEMARK AGENCY LTD. (CN)
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