[1]吴 傲,陈宏伟. 基于改进人工蜂群算法的云任务调度[J].湖北工业大学学报,2021,(5):55-58.
　WU Ao,CHEN Hongwei. Research on Application of Improved Artificial Bee Colony Algorithm in Cloud Computing Resource Scheduling[J].,2021,(5):55-58.
点击复制

 基于改进人工蜂群算法的云任务调度()
分享到：

《湖北工业大学学报》[ISSN:1003-4684/CN:42-1752/Z]

卷:
期数:
2021年第5期
页码:
55-58
栏目:
湖北工业大学学报
出版日期:
2021-10-31

文章信息/Info

Title:
 Research on Application of Improved Artificial Bee Colony Algorithm in Cloud Computing Resource Scheduling
文章编号:
1003-4684(2021)05-0055-04
作者:
 吴 傲;  陈宏伟
 湖北工业大学计算机学院， 湖北 武汉 430068
Author(s):
 WU Ao;  CHEN Hongwei
 School of Computer Science, Hubei Univ. of Tech., Wuhan 430068, China
关键词:
 ; 云计算资源调度;  博弈论;  人工蜂群算法
Keywords:
 ; cloud computing resource scheduling; game theory; artificial bee colony algorithm
分类号:
TP399
文献标志码:
A
摘要:
 基于传统的优化算法在云计算资源调度中存在的较低资源利用率，任务调度时间成本较高、服务器节点间的负载不均衡等问题，提出了基于博弈论的改进人工蜂群算法，以此来提高传统的资源调度算法的工作效率。仿真实验结果显示，基于博弈论的改进人工蜂群算法较原算法和同类型算法能够显著提高资源调度的效率和有效性。
Abstract:
 There exist some problems with traditional optimization algorithms, such as low utilization rate, high task scheduling cost and unbalanced load among server nodes, in cloud computing resource scheduling. Therefore, this paper proposes an improved artificial bee colony algorithm based on game theory to improve the efficiency of traditional resource scheduling algorithms. The simulation experiment results show that the improved artificial bee colony algorithm based on game theory can significantly improve the efficiency and effectiveness of resource scheduling compared with the original algorithm and the same type of algorithm.

参考文献/References:

[1] 王波，张晓磊.基于粒子群遗传算法的云计算任务调度[LL][KG2*1/2]研究[J].计算机工程与应用,2015,51(6):84-88.
[2] 王虎, 雷建军, 万润泽. 基于改进的粒子群优化的云计算资源调度模型[J]. Journal of Central China Normal University, 2018, 52(6)：560-562.
[3] KASABOGA D.An idea base on honey bee swarm for numerical optimization[J].Techn.Rep.TR06.Kayseri:Ericyes University,2005,(14):1899-1902.
[4] KASABOGA D. A powerful and efficicient algorithm for numerical function optimization: artificial bee colony algorithm[J]. Journal of Global Optimization,2007,39(3)：459-471.
[5] OSORIO I,ZAVERI H,FREI MG,et al.Epilepsy:the intersection of neurosciences,biology,mathematic,engineering and physics[M].Florida:Sanibel Symposium and IWSP4.CRC,2017：127-132.
[6] HASSAN M,SONG B,HUB E N.Game based distributed resource allocation in horizontal dynamic cloud federation platform[M].Berlin:Algorithms and Architectures for parallel Processing.Springer,2019:194-205.
[7] LIU HONGZHI,GAO LIQUN,KONG XIANGYONG,et al.modified artificial bee colony algorithm based on subpopulation[J].Journal of Northeast University(Ntural Science Edition),2018,35(9)：1239-1243.
[8] VOUK M A. Cloud Computing-Issues, research and implemantations[J].Journal of Computing and Information Technology,2018,4:235-246.
[9] 龚小庆.合作演化复杂性[M].杭州：浙江工商大学出版社,2017：12.
[10] SCHARLEMANN J P W, ECKEL C C, KACELNIK A, et al. The value of a smile: Game theory with a human face[J]. Journal of Economic Psychology, 2007, 22(5):617-640.
[11] 徐昕．基于博弈论的云计算资源调度方法研究[D].上海：华东理工大学,2015．

相似文献/References:

[1]熊韧,曹海印,王焱清,等.非牛顿润滑静压轴承的节流器流量方程修正[J].湖北工业大学学报,2019,34(5):6.
　XIONG Ren,CAO Haiyin,WANG Yanqing,et al.Modified restrictor flow equations of hydrostatic bearings ubricated by non-Newtonian fluids[J].,2019,34(5):6.
[2]王照远,曹 民,王 毅,等. 场景与数据双驱动的隧道图像拼接方法[J].湖北工业大学学报,2020,(4):11.
　WANG Zhaoyuan,CAO Min,WANG Yi,et al. Tunnel Image Stitching Method based on Scene and Data[J].,2020,(5):11.
[3]潘 健,梁佳成,陈凤娇,等. 单电流闭环多重PR控制的LCL型逆变器[J].湖北工业大学学报,2020,(4):16.
　PAN Jian,LIANG Jiacheng,CHEN Fengjiao,et al. Design of LCL Grid Connected Inverter based on Single Closed Loop Control and Multiple PR Controllers[J].,2020,(5):16.
[4]王晓光,赵 萌,文益雪,等. 定子闭口槽结构对永磁电机齿槽转矩影响分析[J].湖北工业大学学报,2020,(4):25.
　WANG Xiaoguang,ZHAO Meng,WEN Yixue,et al. Study on Cogging Torque and Vibration Noise of Permanent Magnet Motor with Segmental Stator and Closed-Slot[J].,2020,(5):25.
[5]宇 卫,凃玲英,陈 健. 风电场集中接入对集电线电流保护的影响[J].湖北工业大学学报,2020,(4):29.
　YU Wei,TU Lingying,CHEN Jian. Effect of the Collective Line Current Protection when Wind Farms are Centralized Accessed to the Power System[J].,2020,(5):29.
[6]廖政斌,王泽飞,祝 珊. 二惯量系统谐振在线抑制及相位补偿[J].湖北工业大学学报,2020,(4):34.
　LIAO Zhengbin,WANG Zefei,ZHU Shan. Online Resonance Suppression and Phase Compensation for Double Inertia System[J].,2020,(5):34.
[7]王 欣,游 颖,姜天翔,等. 面向3D打印过程的产品工艺设计和优化[J].湖北工业大学学报,2020,(4):39.
　WANG Xin,YOU Ying,JIANG Tianxiang,et al. Product Process Design and Optimization for 3D Printing Processes[J].,2020,(5):39.
[8]冉晶晶,文 红,罗雅梅,等. 全自动样品前处理平台及其控制系统[J].湖北工业大学学报,2020,(4):43.
　RAN Jingjing,WEN Hong,LUO Yamei,et al. Research on Automatic Sample Preprocessing Platform and its Control System[J].,2020,(5):43.
[9]杨 磊,马志艳,石 敏,等. 基于模糊PID的小型冷库过热度控制方法[J].湖北工业大学学报,2020,(4):43.
　YANG Lei,MA Zhiyan,SHI Min,et al. Research on Superheat Control Method of Small Cold Storage based on Fuzzy PID[J].,2020,(5):43.
[10]黄 晶,周细枝,周业望. 动态注塑成型模具的设计与实验研究[J].湖北工业大学学报,2020,(4):52.
　HUANG Jing,ZHOU Xizhi,ZHOU Yewang. Design and Experimental Study of Dynamic Injection Molding[J].,2020,(5):52.

备注/Memo

备注/Memo:
 ［收稿日期］ 2021-05-10
［基金项目］ 湖北省重点研发计划(2020BAB012)
［第一作者］ 吴 傲(1993-)， 男， 湖北荆州人，湖北工业大学硕士研究生，研究方向为云计算
［通信作者］ 陈宏伟(1975-)， 男， 湖北武汉人，工学博士，湖北工业大学教授，研究方向为云计算，大数据
更新日期/Last Update: 2021-11-01