A Novel Dynamic Task Scheduling Algorithm Based on Improved Genetic Algorithm in Cloud Computing

被引：29
|
作者：
Ma, Juntao [1 ]
Li, Weitao [1 ]
Fu, Tian [1 ]
Yan, Lili [1 ]
Hu, Guojie [1 ]
机构：
[1] Hainan Coll Software Technol, Qionghai 571400, Peoples R China
来源：
WIRELESS COMMUNICATIONS, NETWORKING AND APPLICATIONS, WCNA 2014 | 2016年 / 348卷
关键词：
Cloud computing; Improved genetic algorithm; Dynamic task scheduling algorithm; Virtual computing environment;
D O I：
10.1007/978-81-322-2580-5_75
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Task scheduling method of cloud computing is the key step to achieve its high performance computing. In order to effectively solve the problem of task scheduling in cloud computing, this paper proposes a novel dynamic task scheduling algorithm based on improved genetic algorithm. On the basis of the genetic algorithm, the proposed algorithm gives full consideration to the dynamic characteristics of the cloud computing environment. The CloudSim simulation platform is selected for simulation; experimental results show that the proposed algorithm can effectively improve the throughput of cloud computing systems, and can significantly reduce the execution time of task scheduling.
引用
收藏
页码：829 / 835
页数：7
相关论文
共 50 条
  • [1] Cloud Computing Task Scheduling Algorithm Based On Improved Genetic Algorithm
    Fang Yiqiu
    Xiao Xia
    Ge Junwei
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 852 - 856
  • [2] An improved genetic algorithm for task scheduling in cloud computing
    Yin, Shuang
    Ke, Peng
    Tao, Ling
    [J]. PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 526 - 530
  • [3] Task-scheduling Algorithm based on Improved Genetic Algorithm in Cloud Computing Environment
    Weiqing, G. E.
    Cui, Yanru
    [J]. RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2021, 14 (01) : 13 - 19
  • [4] Task scheduling of cloud computing based on Improved CHC algorithm
    Zhang, Liping
    Tong, Weiqin
    Lu, Shengpeng
    [J]. 2014 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP), VOLS 1-2, 2014, : 574 - 577
  • [5] A Dynamic Task Scheduling Algorithm Improved by Load Balancing in Cloud Computing
    Ebadifard, Fatemeh
    Babamir, Seyed Morteza
    Barani, Sedighe
    [J]. 2020 6TH INTERNATIONAL CONFERENCE ON WEB RESEARCH (ICWR), 2020, : 177 - 183
  • [6] Cloud Computing Task Scheduling Based on Cultural Genetic Algorithm
    Li Jian-Wen
    Qu Chi-Wen
    [J]. 2015 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND ELECTRICAL SYSTEMS (ICMES 2015), 2016, 40
  • [7] An Improved Task Scheduling Algorithm Based on Potential Games in Cloud Computing
    Li, Xiao
    Zheng, Ming-chun
    Ren, Xinxin
    Liu, Xuan
    Zhang, Panpan
    Lou, Chao
    [J]. PERVASIVE COMPUTING AND THE NETWORKED WORLD, 2014, 8351 : 346 - 355
  • [8] A Genetic Algorithm inspired task scheduling in Cloud Computing
    Agarwal, Mohit
    Srivastava, Gur Mauj Saran
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2016, : 364 - 367
  • [9] Task scheduling of cloud computing based on hybrid particle swarm algorithm and genetic algorithm
    Fu, Xueliang
    Sun, Yang
    Wang, Haifang
    Li, Honghui
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2023, 26 (05): : 2479 - 2488
  • [10] Task Scheduling Algorithm Based on Bidirectional Optimization Genetic Algorithm in Cloud Computing Environment
    Wei Guanghui
    [J]. AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 3062 - 3067
12345