Grid Task Scheduling: Algorithm Review

被引:14
|
作者
Ma, Tinghuai [1 ]
Yan, Qiaoqiao [1 ]
Liu, Wenjie [1 ]
Guan, Donghai [2 ]
Lee, Sungyoung [2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing, Peoples R China
[2] Keyung Hee Univ, Dept Comp, Seoul, South Korea
关键词
Directed acyclic graph; Grid computing; Grid task scheduling; Heuristic algorithms; Meta-task; Research topic; Swarm intelligent algorithms; INDEPENDENT TASKS; OPTIMIZATION; HEURISTICS; MANAGEMENT; TIME;
D O I
10.4103/0256-4602.76138
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As a new distributed heterogeneous computing platform, grid aims at achieving Internet-wide resource sharing and collaborative computing. Grid task scheduling (GTS) is the key issue of grid computing, and its algorithm has a direct effect on the performance of the whole system. In this paper, two key entities in GTS, applications and target systems, are defined first. And then two types of the most popular GTS algorithms, namely, meta-task GTS algorithm and directed acyclic graph GTS algorithm, are discussed in details in accordance with the classification of the traditional deterministic algorithm and heuristic intelligent algorithm. In addition, the comparative analysis is made among them. Finally, some main research directions of GTS are pointed out.
引用
收藏
页码:158 / 167
页数:10
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