Analysis of Grid Task Scheduling Method Based on Genetic Algorithm

Computer & Telecommunication

Current Issue | Archive | Adv Search

JIN Zhi

Changsha Medical University

Download:

PDF(0KB)
Export: BibTeX | EndNote (RIS)

Abstract Grid task scheduling is a non-deterministic problem with polynomial complexity. All uncertain decision problems of polynomial time can constitute NP class problem. So how to quickly find the global optimal solution is the difficult point of grid task scheduling. The genetic algorithm, which has the characteristics of automatic acquisition and fast search, is the best solution to solve the nonlinear problem. This paper mainly analyzes the grid task scheduling method based on genetic algorithm, and completes the simulation experiment research of genetic algorithm through the grid task scheduling model construction, resource allocation and other operations.

Key words： genetic algorithm grid task scheduling method analysis

ZTFLH:

TP391

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	JIN Zhi

Cite this article:

JIN Zhi. Analysis of Grid Task Scheduling Method Based on Genetic Algorithm. Computer & Telecommunication, 2017, 1(11): 9-11.

URL:

http://www.computertelecom.com.cn/EN/ OR http://www.computertelecom.com.cn/EN/Y2017/V1/I11/9

[1]	CHEN Wen-wen YANG Chen . Smart Grid Communication Support Platform Design Based on 5G[J]. 电脑与电信, 2021, 1(7): 17-21.
[2]	LIULiang-bin LIUDe-yu. PathPlanning ofWeldingRobotBased onGeneticAlgorithm[J]. 电脑与电信, 2021, 1(5): 18-21.
[3]	YAO Jian-sheng LIU Yan-ling. Teaching Reform and Practice of Smart Tourism Data Science Course[J]. 电脑与电信, 2021, 1(4): 9-11.
[4]	HUANG Meng-yao WANG Yu TANG Chen YU Jing WANG Qin. The VehicleAd Hoc Network PerformanceAnalysis Based on Rayleigh Decay Model[J]. 电脑与电信, 2021, 1(3): 1-6.
[5]	HUANG Jian. Research on Teacher ManagementAssessment System Based on CCFlow Workflow Engine[J]. 电脑与电信, 2020, 1(9): 15-17.
[6]	YAN Lei. Study on the Deep Learning Diagnosis and Intervention of Online Courses for Higher Vocational College Enrollment Students under LearningAnalysis Technology[J]. 电脑与电信, 2020, 1(6): 30-33.
[7]	FU Qing-hua JIANG Yi. Research on the Problems and Countermeasures of Intelligent Management of Personnel in Detoxification Places under the Framework of Smart Detoxification[J]. 电脑与电信, 2020, 1(6): 45-48.
[8]	YUAN Hua-si. Research on Calibration Device and UncertaintyAnalysis of Radio Comprehensive Tester[J]. 电脑与电信, 2020, 1(6): 77-81.
[9]	DING Shao-hui ZHANG Bai FENG Feng. Design and Implementation of Plug-inArchitecture in HydrologicalAnalysis Platform System[J]. 电脑与电信, 2020, 1(5): 63-66.
[10]	HUANG Xiao-hua. Construction of Intelligent Teaching Mode of "MOOC + Dynamic Learning DataAnalysis"[J]. 电脑与电信, 2020, 1(3): 12-14.
[11]	LIU Yang ZHANG Qiang WEN Zheng-yang. Study on the Planning Method of 5G Special Network for High-speed Railway[J]. 电脑与电信, 2020, 1(3): 37-40.
[12]	. Intelligent Technology of ClusterAnalysis and ItsApplication in Employment Prediction of Higher Vocational Colleges[J]. 电脑与电信, 2020, 1(3): 59-61.
[13]	HUANG Xiao-hua. Construction of Wisdom Classroom Evaluation andAssessment System Based on "Dynamic Learning DataAnalysis"[J]. 电脑与电信, 2020, 1(1-2): 25-27.
[14]	HUANG Jian LIU Jian-wei YOU Tong. Design of Educational Statistical DataAnalysis Platform for Colleges[J]. 电脑与电信, 2020, 1(11): 29-32.
[15]	REN Zhen-na. Research and Implementation of Digital Terrain Analysis Algorithm[J]. 电脑与电信, 2019, 1(6): 57-60.

Viewed

Full text

Abstract

Cited

Shared

Discussed