Journal of Jilin University (Information Science Edition) ›› 2022, Vol. 40 ›› Issue (2): 295-300.

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Task Scheduling Algorithm of Cloud Computing QoS Based on Production Function

DENG Bintao, XU Shengchao   

  1. School of Date Science, Guangzhou Huashang College, Guangzhou 511300, China
  • Received:2021-07-09 Online:2022-06-11 Published:2022-06-12

Abstract: When using the current algorithm to schedule cloud computing QoS(Quality of Service) tasks, the scheduling time is long and the user satisfaction is low. Therefore, based on the user needs, the production function is introduced to build the cloud computing QoS task scheduling objective function. DPSO( Discrete Particle Swarm Optimization) algorithm is used to establish fitness function and obtain the optimal value through scheduling operation and deadline constrained search space. By solving the objective function to obtain the optimal scheduling scheme, the cloud computing QoS task scheduling is realized. Experimental results show that the proposed algorithm has high user satisfaction and scheduling efficiency.

Key words: production function; , cloud computing; , objective function; , task scheduling

CLC Number: 

  • TP393. 09