Optimization of Task Scheduling Algorithms in Heterogeneous Environment

被引：0
|
作者：
Pan, HaiLan [1 ]
机构：
[1] Shanghai Polytech Univ, Sch Econ & Management, 2360Hao, Shanghai 201209, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL FORUM ON MECHANICAL, CONTROL AND AUTOMATION (IFMCA 2016) | 2017年 / 113卷
关键词：
cloud workflow; heterogeneous; scheduling algorithm; HDFS; MapReduce;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Workflow system is the best choice for projects with complex business logic, and cloud workflow technology has emerged because many applications need to join large data processing. This paper first introduces the workflow and MapReduce technology briefly, and then proposes to use agent mode to solve the engine centralization problem of traditional cloud workflow architecture. Finally, this paper describes the workflow scheduling model and algorithm based on MapReduce, which makes full use of time fragmentation by using task segmentation to improve efficiency.
引用
收藏
页码：219 / 223
页数：5
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