Efficient Task Scheduling for Applications on Clouds

被引：7
|
作者：
Al-Zoubi, Hussein [1 ]
机构：
[1] German Jordanian Univ, Sch Elect Engn & Informat Technol, Comp Sci Dept, Amman, Jordan
来源：
2019 6TH IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND CLOUD COMPUTING (IEEE CSCLOUD 2019) / 2019 5TH IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING AND SCALABLE CLOUD (IEEE EDGECOM 2019) | 2019年
关键词：
Directed acyclic graph (DAG); task scheduling; cloud computing; makespan; scientific workflow; ALGORITHM; GRAPHS;
D O I：
10.1109/CSCloud/EdgeCom.2019.00012
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Task scheduling is a central issue in the realm of parallel processing, and recently in cloud computing. The directed acyclic graph (DAG) is a well-known technique used to represent scheduling of computational tasks. Many researchers have studied task scheduling under various constraints and proposed alternative solutions. The purpose of this research is to edify task scheduling on the cloud using a recent bio-inspired optimization technique, the Grasshopper Optimization Algorithm (GOA). The proposed method is compared with the state-of-the-art techniques in this area, where a reduction of 10% in the makespan is obtained.
引用
收藏
页码：10 / 13
页数：4
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