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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Vydáno v:	Journal of parallel and distributed computing Ročník 74; číslo 8; s. 2770 - 2779
Hlavní autoři:	Hua, Xiayu, Wu, Hao, Li, Zheng, Ren, Shangping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier Inc 01.08.2014 Elsevier
Témata:	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
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Abstract	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 applications that have large I/O data sets. However, the performance of HDFS decreases dramatically when handling the operations of interaction-intensive files, i.e., files that have relatively small size but are frequently accessed. The paper analyzes the cause of throughput degradation issue when accessing interaction-intensive files and presents an enhanced HDFS architecture along with an associated storage allocation algorithm that overcomes the performance degradation problem. Experiments have shown that with the proposed architecture together with the associated storage allocation algorithm, the HDFS throughput for interaction-intensive files increases 300% on average with only a negligible performance decrease for large data set tasks. •Analyzed the performance degradation of HDFS caused by interaction-intensive tasks.•Designed a two-layer structure to improve the performance of handling I/O request.•Integrated caches to reduce the overhead of accessing interaction-intensive files.•Developed a PSO-based storage allocation algorithm to improve the I/O throughput.•Designed a set of experiments to evaluate the performance of the proposed methods.
AbstractList	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 applications that have large I/O data sets. However, the performance of HDFS decreases dramatically when handling the operations of interaction-intensive files, i.e., files that have relatively small size but are frequently accessed. The paper analyzes the cause of throughput degradation issue when accessing interaction-intensive files and presents an enhanced HDFS architecture along with an associated storage allocation algorithm that overcomes the performance degradation problem. Experiments have shown that with the proposed architecture together with the associated storage allocation algorithm, the HDFS throughput for interaction-intensive files increases 300% on average with only a negligible performance decrease for large data set tasks. •Analyzed the performance degradation of HDFS caused by interaction-intensive tasks.•Designed a two-layer structure to improve the performance of handling I/O request.•Integrated caches to reduce the overhead of accessing interaction-intensive files.•Developed a PSO-based storage allocation algorithm to improve the I/O throughput.•Designed a set of experiments to evaluate the performance of the proposed methods. 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 applications that have large I/O data sets. However, the performance of HDFS decreases dramatically when handling the operations of interaction-intensive files, i.e., files that have relatively small size but are frequently accessed. The paper analyzes the cause of throughput degradation issue when accessing interaction-intensive files and presents an enhanced HDFS architecture along with an associated storage allocation algorithm that overcomes the performance degradation problem. Experiments have shown that with the proposed architecture together with the associated storage allocation algorithm, the HDFS throughput for interaction-intensive files increases 300% on average with only a negligible performance decrease for large data set tasks.
Author	Li, Zheng Ren, Shangping Hua, Xiayu Wu, Hao
Author_xml	– sequence: 1 givenname: Xiayu orcidid: 0000-0001-8373-869X surname: Hua fullname: Hua, Xiayu email: xhua@hawk.iit.edu – sequence: 2 givenname: Hao surname: Wu fullname: Wu, Hao email: hwu28@hawk.iit.edu – sequence: 3 givenname: Zheng surname: Li fullname: Li, Zheng email: zli80@hawk.iit.edu – sequence: 4 givenname: Shangping surname: Ren fullname: Ren, Shangping email: ren@iit.edu
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SubjectTerms	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
Title	Enhancing throughput of the Hadoop Distributed File System for interaction-intensive tasks
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