Resource Allocation Based on Improved Krill Herd Algorithm in Cloud Computing

Jiaqi Wang

doi:10.6180/jase.201912_22(4).0003

Resource Allocation Based on Improved Krill Herd Algorithm in Cloud Computing

Computer Science and Information Engineering

Jiaqi Wang This email address is being protected from spambots. You need JavaScript enabled to view it.¹

¹College of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, P.C 116000, P.R. China

Received: March 25, 2019
Accepted: August 9, 2019
Publication Date: December 1, 2019

Download Citation: ||https://doi.org/10.6180/jase.201912_22(4).0003

ABSTRACT

Resource allocation acts an important role in cloud computing. Traditional resource allocation methods have time-consuming, expensive and low efficiency disadvantages. Therefore, we propose an improved krill herd algorithm for resource allocation in cloud computing. Firstly, the status of cloud computing resource allocation is analyzed. Then, in order to prevent krill herd falling into local solution, we introduce random perturbation factor to improve the induction movement and foraging movement of krill herd. Finally, the experiments results show that the proposed method can effectively improve the system resource utilization, the allocation performance is better than other cloud computing resource allocation methods.

Keywords: Cloud Computing, Resource Allocation, Krill Herd Algorithm, Random Perturbation

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