Data-Aware Scheduling of Scientific Workflows in Hybrid Clouds

被引：6
|
作者：
Pasdar, Amirmohammad [1 ]
Almi'ani, Khaled [2 ,3 ]
Lee, Young Choon [1 ]
机构：
[1] Macquarie Univ, Dept Comp, Sydney, NSW 2109, Australia
[2] Al Hussein Bin Talal Univ, Maan, Jordan
[3] Princess Sumaya Univ Technol, Maan, Jordan
来源：
COMPUTATIONAL SCIENCE - ICCS 2018, PT III | 2018年 / 10862卷
关键词：
D O I：
10.1007/978-3-319-93713-7_68
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we address the scheduling of scientific workflows in hybrid clouds considering data placement and present the Hybrid Scheduling for Hybrid Clouds (HSHC) algorithm. HSHC is a two-phase scheduling algorithm with a genetic algorithm based static phase and dynamic programming based dynamic phase. We evaluate HSHC with both a real-world scientific workflow application and random workflows in terms of makespan and costs.
引用
收藏
页码：708 / 714
页数：7
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