Maximizing the completion rate of concurrent scientific applications under time and budget constraints

被引:21
作者
Arabnejad, Hamid [1 ]
Barbosa, Jorge G. [1 ]
机构
[1] Univ Porto, Fac Engn, LIACC, Rua Dr Roberto Frias S-N, Oporto, Portugal
关键词
Concurrent jobs; Workflow applications; Clouds; Grids; SCHEDULING ALGORITHMS; MULTIPLE WORKFLOWS;
D O I
10.1016/j.jocs.2016.10.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In many domains of science, scientific applications are represented by workflows. In this paper, we introduce a resource management strategy to maximize the success rate of concurrent workflow applications constrained by individual deadline and budget values. The Multi-Workflow Deadline-Budget Scheduling (MW-DBS) algorithm can schedule multiple workflows that can arrive in the system at any time, with the aim of satisfying individual job requirements. MW-DBS produces schedules without performing optimizations but guarantees that the deadline and budget defined for each job are not exceeded. Experimental results show that our strategy increases the scheduling success rate of finding valid solutions. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:120 / 129
页数:10
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