Load Balancing For Cloud-Based Dynamic Data Processing

Journal of computer sciences

Jameel, Talal Talib¹ 

关键词: Cloud Computing;    Load Balancing;    Map/Reduce;    Dynamic Data;    Resource Allocation;    Data Center;   

DOI  :  10.3844/jcssp.2017.301.306

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

The Map/Reduce paradigm has dominated cloud computing since its beginnings. However, there are some scenarios in which Map/Reduce is not the best model. Once such situation is a system that collects data dynamically, with intermittent arrival times. In this study, we study a modified form of Map/Reduce that uses a load balancer to distribute work, rather than simply assigning a Map node in an ad-hoc fashion. We show that this approach performs significantly better than standard Map/Reduce. In particular, it reduces the amount of time data is waiting in a queue to be processed.

【 授权许可】

CC BY