An Improved Max-Min Task-Scheduling Algorithm for Elastic Cloud

被引：21
|
作者：
Li, Xiaofang [1 ]
Mao, Yingchi [2 ]
Xiao, Xianjian [1 ]
Zhuang, Yanbin [1 ]
机构：
[1] Changzhou Inst Technol, Sch Comp Informat & Engn, Nanjing, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Comp & Informat Engn, Nanjing, Jiangsu, Peoples R China
来源：
2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014) | 2014年
关键词：
Elastic Cloud; Load Balancing; Max-Min; Task Schedule; Elastic Algorithm; SERVERS;
D O I：
10.1109/IS3C.2014.95
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In cloud computing, load balancing aids in minimizing resource consumption and avoids bottlenecks. Although many load balancing schemes have been presented, there is no scheme providing the elasticity in cloud computing. A Max-Min task-scheduling algorithm for load balance in the elastic cloud is proposed in this paper. To realize the load balancing, the proposed algorithm maintains a task status table to estimate the real-time load of virtual machines and the expected completion time of tasks, which can allocate the workload among nodes and realize the load balance. The extensive experiments demonstrate that the proposed Max-Min task-scheduling algorithm can improve the resource utilization as well as reduce the response time of tasks.
引用
收藏
页码：340 / 343
页数：4
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