Adaptive delay scheduling algorithm based on data center load analysis

JIN Jia-hui; LUO Jun-zhou; SONG Ai-bo; DONG Fang

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Adaptive delay scheduling algorithm based on data center load analysis

更新时间：2024-10-14

- Adaptive delay scheduling algorithm based on data center load analysis
- Vol. 32, Issue 7, Pages: 47-56(2011)
- 作者机构：
  
  东南大学计算机科学与工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.02
- Published：2011
- 稿件说明：
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JIN Jia-hui, LUO Jun-zhou, SONG Ai-bo, et al. Adaptive delay scheduling algorithm based on data center load analysis[J]. 2011, 32(7): 47-56.
DOI：

JIN Jia-hui, LUO Jun-zhou, SONG Ai-bo, et al. Adaptive delay scheduling algorithm based on data center load analysis[J]. 2011, 32(7): 47-56. DOI：

摘要

由于已有的延迟调度算法基于静态的等待时间阈值

因此不能适应云计算数据中心动态的负载变化。针对该问题

提出了等待时间阈值自适应调整模型。基于该模型

设计了自适应延迟调度算法(ADS)。ADS算法通过分析空闲计算节点的到达强度、网络带宽和作业执行状态等参数

自适应调整等待时间阈值

以减少作业响应时间。基于开发的原型系统

验证了自适应调整模型

测试了算法性能。结果表明

ADS算法在作业响应时间等方面优于已有的延迟调度算法。

Abstract

Current delay scheduling algorithms

based on static waiting time threshold

can not adapt to dynamic load of a data center.To address this issue

an adaptive waiting time threshold model was proposed.Based on this model

an adap-tive delay scheduling algorithm（ADS） was designed.ADS adjusts jobs’ waiting time threshold dynamically to reduce the job response time

according to the information of idle servers’ arrival intensity

available network bandwidth and job running status.A prototype system using ADS was developed

on which the validation of the adaptive waiting time threshold model and the evaluation of ADS’s performance were carried out.It is shown that ADS outperforms previous delay scheduling algorithms in term of the job response time.

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