面向分布式环境的信号驱动任务调度算法

辛宇; 杨静; 谢志强

doi:10.11959/j.issn.1000-436x.2015162

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面向分布式环境的信号驱动任务调度算法

学术论文 | 更新时间：2024-06-05

- 面向分布式环境的信号驱动任务调度算法
- Task scheduling algorithm for distributed environment based on signal-driven
- 通信学报 2015年36卷第7期页码：1-72
- 作者机构：
  
  1. 哈尔滨工程大学计算机科学与技术学院，黑龙江哈尔滨 150001
  2. 哈尔滨理工大学计算机科学与技术学院，黑龙江哈尔滨 150001
- 作者简介：
  
  [ "辛宇（1987-），男，黑龙江哈尔滨人，哈尔滨工程大学博士生，主要研究方向为企业智能计算、数据库与知识工程。" ]
  [ "杨静（1962-），女，黑龙江哈尔滨人，哈尔滨工程大学教授、博士生导师，主要研究方向为企业智能计算、数据库与知识工程。" ]
  [ "谢志强（1962-），男，黑龙江哈尔滨人，博士，哈尔滨理工大学教授，主要研究方向为企业智能计算、数据库与知识工程。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61370083);国家自然科学基金资助项目(61370086);黑龙江省自然科学基金资助项目(F201101)
- DOI：10.11959/j.issn.1000-436x.2015162
  中图分类号： TP311
- 网络首发：2015-07，
  
  纸质出版：2015-07-25
- 稿件说明：
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辛宇, 杨静, 谢志强. 面向分布式环境的信号驱动任务调度算法[J]. 通信学报, 2015,36(7):1-72.

Yu XIN, Jing YANG, Zhi-qiang XIE. Task scheduling algorithm for distributed environment based on signal-driven[J]. Journal on Communications, 2015, 36(7): 1-72.
辛宇, 杨静, 谢志强. 面向分布式环境的信号驱动任务调度算法[J]. 通信学报, 2015,36(7):1-72. DOI： 10.11959/j.issn.1000-436x.2015162.

Yu XIN, Jing YANG, Zhi-qiang XIE. Task scheduling algorithm for distributed environment based on signal-driven[J]. Journal on Communications, 2015, 36(7): 1-72. DOI： 10.11959/j.issn.1000-436x.2015162.

摘要

为优化IaaS服务的执行效率，提出面向IaaS的信号驱动任务调度算法，该算法根据IaaS模型的结构特征建立控制子系统和节点子系统，根据任务的结构特征建立任务的DAG(directed acyclic graph)调度模型，并建立各任务分片的状态转化机制及控制子系统和节点子系统间的信号通信机制。以系统间信号交互的方式驱动任务分片的状态改变，并在每一调度时刻来临时利用并行优化选择策略分配任务分片。由于本算法采用了模拟IaaS模型的双系统控制方式，使本算法与IaaS模型的分布式体系相兼容且复杂度较低。最后通过实验验证了所提算法的有效性和实用性。

Abstract

In order to optimize the performance of user services in IaaS

the task scheduling algorithm for IaaS based on signal-driven is proposed

by which CS(control subsystem) and NS(inquiry nodes subsystem) based on the structural characteristics of the IaaS is established

and the DAG scheduling model based on the structural characteristics of the inquiry task is created.Then the conversion mechanism for the task partitions is created

constructing the signal communication mechanism for CS and NS

changing the status of the task partitions by signal-driven between the CS and NS

completing the task partitions allocation by POSS (parallel optimization selective strategy) in the scheduling time.This algorithm with low complexity is compatible with the distributed architecture of IaaS

because of utilizing dual system control mode.The effectiveness and practicality of this algorithm is verified by experiment.

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Keywords

references

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