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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3725-3728,3734

Cloud workflow scheduling strategy in DAG partition model

Xue Fan
College of Innovation & Entrepreneurship, Huanghuai University, Zhumadian Henan 463000, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0375

Abstract

For optimizing the economical cost and scheduling efficiency of cloud workflow scheduling, this paper proposed a workflow scheduling algorithm PBWS based on DAG(directed acyclic graph) partition. With the goal of optimizing synchronously the workflow scheduling efficiency and cost, this algorithm divided the scheduling solution into three stages: In the process of workflow DAG structure partition, partition structure adjustment and resource allocation. In the process of workflow DAG structure partition, it got the initial tasks partition graph when guaranteeing the execution order-dependency between tasks. In the process of partition structure adjustment, it re-allocated tasks in different partitions with a goal of reducing execution makespan. In the process of resource allocation, it determine the most cost-efficient matches between tasks and resources to ensure the minimization of the total idle time of resource. This paper constructed some simulation experiments for algorithms by the five types of scientific workflow DAG model. The experimental results show that PBWS algorithm can greatly reduce the execution cost of workflow in terms of cost by a little of overhead on execution makespan and realize the synchronous optimization of the scheduling efficiency and the scheduling cost, whose overall performance performs better than the same type of algorithms.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0375
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3725-3728,3734
Serial Number: 1001-3695(2019)12-043-3725-04

Publish History

[2019-12-05] Printed Article

Cite This Article

薛凡. DAG分割模型下的云工作流调度策略 [J]. 计算机应用研究, 2019, 36 (12): 3725-3728,3734. (Xue Fan. Cloud workflow scheduling strategy in DAG partition model [J]. Application Research of Computers, 2019, 36 (12): 3725-3728,3734. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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