Optimizing Multi-Dimensional QoS Cloud Resource Scheduling by Immune Clonal with Preference

SUN Da-wei; CHANG Gui-ran; LI Feng-yun; WANG Chuan; WANG Xing-wei

您当前的位置：

首页 >

文章列表页 >

Optimizing Multi-Dimensional QoS Cloud Resource Scheduling by Immune Clonal with Preference

更新时间：2025-07-16

- Optimizing Multi-Dimensional QoS Cloud Resource Scheduling by Immune Clonal with Preference
- Acta Electronica Sinica Vol. 39, Issue 8, Pages: 1824-1831(2011)
- 作者机构：
  
  1. 东北大学信息科学与工程学院,辽宁,沈阳,110819
  2. 东北大学计算中心,辽宁,沈阳,110819
  3. 东北大学信息科学与工程学院辽宁沈阳,110819
  4. 东北大学计算中心辽宁沈阳,110819
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393
- Published：2011
- 稿件说明：
移动端阅览
SUN Da-wei, CHANG Gui-ran, LI Feng-yun, et al. Optimizing Multi-Dimensional QoS Cloud Resource Scheduling by Immune Clonal with Preference[J]. Acta Electronica Sinica, 2011, 39(8): 1824-1831.
DOI：

SUN Da-wei, CHANG Gui-ran, LI Feng-yun, et al. Optimizing Multi-Dimensional QoS Cloud Resource Scheduling by Immune Clonal with Preference[J]. Acta Electronica Sinica, 2011, 39(8): 1824-1831. DOI：

摘要

针对云计算环境中高效资源调度问题

首先从理论上对云资源调度进行了建模

对用户应用偏好和多维QoS中的用户效用进行了量化

给出了多维QoS优化的目标函数.结合具有快速多目标优化能力的免疫克隆算法

提出了一种云资源调度优化算法.根据应用偏好信息为抗体分配偏好优先级

据此进行抗体的免疫克隆操作

提高抗体免疫基因操作的预见性

改善了向最优解的高效收敛能力.实验结果分析表明

该算法能改善云资源调度系统的可用性、负载均衡离差、有效时间等方面的性能

满足了云计算环境的实际需求.

Abstract

Focusing on the problem of high efficiency and effectiveness resource scheduling in cloud computing environments

the model of cloud resource scheduling is systematically analyzed in theory at first

the application preferences and the user utility of multi-dimensional QoS is quantified

and the objective function of multi-dimensional QoS is given at last.Combining with the immune clonal algorithm of rapid multi-objective optimization

a heuristic cloud resource scheduling algorithm with application preference is proposed.The non-dominated antibodies are proportionally immune cloned according to their preference priority

which are defined by their cloud application preferences.It is beneficial to enhance the forecasting accuracy of the immune gene manipulation

and to increase the speed of finding the optimal solution based on the application preference.Experimental results conclusively demonstrate the efficiency and effectiveness of the improve system availability

load balancing deviation and valid time brought by the proposed algorithm in cloud computing environments.

关键词

Keywords

references

Views

1999

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Utility Optimization-Based Joint User Association and Resource Allocation Algorithm for Integrated Satellite-Terrestrial Network

ISAR Resource Scheduling of Multiple Micro-Motion Targets Based on Genetic-Heuristic Algorithm

A CP-ABE Scheme with Cloud Proxy Re-Encryption

Resource Scheduling Algorithm of Rotating Phased Array Radar Based on Generalized Time Window

Graph Learning Based Transmission Resources Scheduling in Dense Space Networks

Related Author

CHAI Rong

CHEN Mi-ling

LI Jin-hong

WANG Yue

HUANG Lu

QI Hao-fan

TIAN Xu-dong

BAI Xue-ru

Related Institution

School of Communications and Information Engineering， Chongqing University of Posts and Telecommunications

National Laboratory of Radar Signal Processing， Xidian University

Beijing Institute of Tracking and Communication Technology

Key Laboratory of Electronic Information Countermeasure and Simulation Technology， Ministry of Education， Xidian University

Department of Computer Science， Sichuan Normal University

⁰