Enhancing throughput of the Hadoop Distributed File System for interaction-intensive tasks

The Hadoop Distributed File System (HDFS) is designed to run on commodity hardware and can be used as a stand-alone general purpose distributed file system (Hdfs user guide, 2008). It provides the ability to access bulk data with high I/O throughput. As a result, this system is suitable for applicat...

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Veröffentlicht in:	Journal of parallel and distributed computing Jg. 74; H. 8; S. 2770 - 2779
Hauptverfasser:	Hua, Xiayu, Wu, Hao, Li, Zheng, Ren, Shangping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 01.08.2014 Elsevier
Schlagworte:	Algorithms Allocations Applied sciences Architecture Cache Commodities Computer science; control theory; systems Exact sciences and technology Hardware HDFS Hierarchical structure Interaction intensive task Memory and file management (including protection and security) Memory organisation. Data processing Performance degradation PSO Software Storage allocation algorithm Tasks Storage allocation algorithm HDFS Interaction intensive task PSO Cache Hierarchical structure Content access Cache memory File management Storage system Very large databases Storage allocation Particle swarm optimization Massive parallelism Transmission rate Input output equipment Hierarchical system
ISSN:	0743-7315, 1096-0848
Online-Zugang:	Volltext
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