Research and implementation of scalable parallel computing based on Map-Reduce

• Published in: Journal of Shanghai University Vol. 15; no. 5; pp. 426 - 429
• Main Author: 阮青强 沈文枫 柴亚辉 徐炜民
• Format: Journal Article
• Language: English
• Published: Heidelberg Shanghai University Press 01.10.2011; School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China%School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China; School of Information Engineering, East China Jiaotong University, Nanchang 330013, P.R.China
• Subjects: Classical Mechanics; Computation; Computer programs; Encapsulation; Engineering; Environment; Fault tolerance; Information Technology; Life Sciences; Materials Science; Mathematical and Computational Engineering; Mechatronics; Parallel processing; Parallel programming; Platforms; Software; 可扩展; 地图; 容错处理; 并行编程; 并行计算方法; 海量数据; 编程模型; 负载均衡; body problem; Map-Reduce; distributed computing; N-body problem

As a parallel programming model, Map-Reduce is used for distributed computing of massive data. Map-Reduce model encapsulates the details of parallel implementation, fault-tolerant processing, local computing and load balancing, etc., provides a simple but powerful interface. In case of having no cle...