Grid management system and evaluation model for Multi-Qos

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (34): 7-9.

• 博士论坛 • Previous Articles Next Articles

Grid management system and evaluation model for Multi-Qos

CUI Zhen-dong^1,2,WANG Xi-cheng²

1.Department of Computer Science and Engineerning，Dalian University of Technology，Dalian，Liaoning 116023，China
2.State Key Laboratory of Structural Analysis for Industrial Equipment，Dalian University of Technology，Dalian，Liaoning 116023，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-12-01 Published:2007-12-01
Contact: CUI Zhen-dong

面向Multi-Qos的网格管理系统及评价模型

崔振东^1,2,王希诚²

1.大连理工大学计算机科学与工程系，辽宁大连 116023
2.大连理工大学工业装备结构分析国家重点实验室，辽宁大连 116023

通讯作者: 崔振东

Abstract

Abstract: There are large scales of idle resources on Internet that can be used by grid technologies.But the characteristics of grid resource such as distributed，heterogeneous，and dynamic make it more difficult to build the grid platform and evaluate the ability of the available sources Qos.A component-based resource management system is presented and a Multi-Qos evaluation model is proposed.The performance，price，throughput speed，reliability and security of resource are regarded as the criteria in the model.Samples have been done for the model and results show it reasonable and effective.

Key words: grid, component, Mulit-Qos, evaluation model

摘要： Internet环境中大量的闲置资源为用户获得高质量网格服务提供了物质基础。但是资源的分布性、动态性和异构性的特征，以及用户对服务偏好的多样性和难以衡量性，使得对服务质量的评价非常困难。开发了一个网格资源管理调度系统平台，用多Agent构件实现了对网格资源的评价与调度。为了提高网格服务质量，在综合考虑用户的多维Qos偏好和网格资源固有特征的基础上，把层次分析法引入网格资源的Multi-Qos评估模型，建立了以资源可用性能、价格、数据传输性能、安全性和可靠性为评价准则的综合评价模型。并通过对算例的评价结果，说明该方法的有效性和合理性。

关键词: 网格, 构件, 多维服务质量, 评价模型

CUI Zhen-dong^1,2,WANG Xi-cheng². Grid management system and evaluation model for Multi-Qos[J]. Computer Engineering and Applications, 2007, 43(34): 7-9.

崔振东^1,2,王希诚². 面向Multi-Qos的网格管理系统及评价模型[J]. 计算机工程与应用, 2007, 43(34): 7-9.

[1]	QIAO Hui, ZHOU Shuisheng. Nolinear Angle 2DPCA and Its Application on Face Recognition [J]. Computer Engineering and Applications, 2021, 57(8): 112-118.
[2]	ZHU Jiaying, GAO Maoting. AUV Path Planning Based on Particle Swarm Optimization and Improved Ant Colony Optimization [J]. Computer Engineering and Applications, 2021, 57(6): 267-273.
[3]	HAO Yaling, ZHU Xinjuan, WU Xiaojun. Research on Software Customizing System for 3D Virtual Display [J]. Computer Engineering and Applications, 2021, 57(5): 271-278.
[4]	YU Duo, HUANG Yongdong. Hyperspectral Image Classification Based on SPCA and Domain Transform Recursive Filtering [J]. Computer Engineering and Applications, 2021, 57(4): 199-208.
[5]	LI Longlong, HE Dongjian, WANG Meili. Study of Plant Leaf Image Recognition Based on Improved Local Binary Pattern Algorithm [J]. Computer Engineering and Applications, 2021, 57(19): 228-234.
[6]	SHEN Shaoyu, CAI Manchun, LU Tianliang, ZHAO Qi. Intrusion Detection Algorithm based on LFKPCA-DWELM [J]. Computer Engineering and Applications, 2021, 57(17): 130-137.
[7]	ZHOU Aijun, NURBOL, AI Zhuang, XIAO Zhongzheng. Research on WebShell Feature Processing Algorithm Based on Neighborhood Component Analysis [J]. Computer Engineering and Applications, 2021, 57(16): 125-133.
[8]	XIE Xiang, ZHANG Qianru, ZHANG Jing, GAO Xinyu. Research and Application on Information System Component Identification Method Based on Domain Modeling-Oriented [J]. Computer Engineering and Applications, 2021, 57(12): 105-114.
[9]	DU Yuyi, WANG Pengzhang, DUO Huaqiong, DONG Yingda. Enhancement Algorithm of Mongolian Furniture Pattern Based on Quantile in Frequency Domain [J]. Computer Engineering and Applications, 2021, 57(12): 207-210.
[10]	LI Yuxin, LI Yueyue. Multi-objective Vehicle Scheduling Problem for JIT Procurement [J]. Computer Engineering and Applications, 2021, 57(12): 263-272.
[11]	CHEN Lichao, CHAO Xin, CAO Jianfang, PAN Lihu. Application of ResNet with Independent Components in Fine-Grained Vehicle Recognition [J]. Computer Engineering and Applications, 2021, 57(11): 248-253.
[12]	XU Jingzhong, MA Lina. Automatic Boundary Extraction from Building Point Clouds Based on Virtual Grids [J]. Computer Engineering and Applications, 2021, 57(10): 181-186.
[13]	ZHANG Dongmei, Mairidan Wushouer, Gulanbaier Tuerhong. One-Class Classification Method for High-Dimensional Mixed and Unbalanced Credit Score Data [J]. Computer Engineering and Applications, 2021, 57(10): 233-240.
[14]	JIA Yanfei, DU Yanli, ZHAO Liquan. Fast Convergence for Independent Component Analysis with Reference [J]. Computer Engineering and Applications, 2020, 56(7): 255-259.
[15]	LIN Kezheng, ZHANG Yuanming, LI Haotian. Research on HOG Feature Extraction Algorithm Weighted by Information Entropy [J]. Computer Engineering and Applications, 2020, 56(6): 147-152.

Grid management system and evaluation model for Multi-Qos

面向Multi-Qos的网格管理系统及评价模型

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics