Optimized Approach (SPCA) for Load Balancing in Distributed HDFS Cluster

Hadoop is an open-source utility which allows users to provide massive input in terms of data and facilitates the computation. Role of Hadoop in load balancing is enormous which allows the user to configure the network of nodes having master/slave nodes. Hadoop’s typical architecture takes into cons...

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Vydané v:SN computer science Ročník 1; číslo 2; s. 102
Hlavní autori: Manjula, K., Meenakshi Sundaram, S.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Nature Singapore 01.03.2020
Springer Nature B.V
Predmet:
Advances in Computational Intelligence
Algorithms
Clusters
Commodities
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Configurations
Data Structures and Information Theory
Design
Distributed processing
Employment
FIFO
Homogeneity
Information Systems and Communication Service
Load balancing
Nodes
Original Research
Paradigms and Applications
Pattern Recognition and Graphics
Product reviews
Software Engineering/Programming and Operating Systems
User generated content
Vision
Work stations
Heterogeneous nodes
Load Balancing
Hadoop
ISSN:2662-995X, 2661-8907
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Abstract Hadoop is an open-source utility which allows users to provide massive input in terms of data and facilitates the computation. Role of Hadoop in load balancing is enormous which allows the user to configure the network of nodes having master/slave nodes. Hadoop’s typical architecture takes into consideration the default configuration for the machine as homogeneous, but many of the real-time application or clusters of nodes will have the homogeneous configurations. Thus, an effort is made in this paper to consider the homogeneity of the nodes in clusters and build an efficient algorithm which does load balancing in an efficient way when compared with the default balancer of Hadoop which works well only on homogeneous nodes.
AbstractList Hadoop is an open-source utility which allows users to provide massive input in terms of data and facilitates the computation. Role of Hadoop in load balancing is enormous which allows the user to configure the network of nodes having master/slave nodes. Hadoop’s typical architecture takes into consideration the default configuration for the machine as homogeneous, but many of the real-time application or clusters of nodes will have the homogeneous configurations. Thus, an effort is made in this paper to consider the homogeneity of the nodes in clusters and build an efficient algorithm which does load balancing in an efficient way when compared with the default balancer of Hadoop which works well only on homogeneous nodes.
ArticleNumber 102
Author Manjula, K.
Meenakshi Sundaram, S.
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Cites_doi 10.18637/jss.v040.i01
10.1016/j.ieri.2014.09.093
ContentType Journal Article
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Springer Nature Singapore Pte Ltd 2020.
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References An Optimization Algorithm for Heterogeneous HadoopClusters Basedon Dynamic Load Balancing Wei Yan, ChunLin Li, ShuMeng Du, XiJun Mao Software Engineering Wuhan University of Technology No.1186, Heping Boulevard, Wuchang District, Wuhan, Hubei CHINA.
Load Balancing in MapReduce Environments for Data Intensive Applications Yang Liu1.
Wickham, Hadley (2011). The split-apply-combine strategy for data analysis. Journal of Statistical Software.
YARN, MapReduce 2.0, Hadoop clusters and the Big Data layer cake.
Hadoop MapReduce Scheduling Algorithms – A Survey Ms. Anjana Sharma Senior Assistant Professor, Computer Science and Engineering Department, New Horizon College of Engineering, Bangalore, India.
Suresh, N.P. Gopalan. “An Optimal Task Selection Scheme for Hadoop Scheduling”, IERI Procedia, 2014.
Cluster Computing at a Glance Mark Bakery and Rajkumar Buyya Division of Computer Science University of Portsmouth Southsea, Hants, UK z School of Computer Science and Software Engineering Monash University Melbourne, Australia.
Maozhen Li,Nasullah Khalid Alham, Suhel Hammoud and Mahesh Ponraj, School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK The Key Laboratory of Embedded Systems and Service Computing, Ministry of Education, Tongji University, China, http://www.cse.scu.edu/~mwang2/projects/CDH_installConfig1_13m.pdf.
https://www.cloudera.com/documentation/enterprise/5-7-x/topics/admin_hdfs_balancer.html, https://www.oreilly.com/ideas/distributed-systems-a-quick-and-simple-definition.
White T. Hadoop: the definitive guide[M]. O’Reilly, 2012.
HPCA: A Node Selection and Scheduling Method for Hadoop MapReduce Archana.G.K1, V.Deeban Chakravarthy2 1 II M.Tech, Department Of Computer Science and Engineering, SRM University, Chennai. 2 Assistant Professor, Department Of Computer Science and Engineering, SRM University, Chennai.
An optimal task selection scheme for Hadoop scheduling S.Suresh, N.P.Gopalan Depatment of computer Applications, National institute of technology, Tiruchirapalli.
Load balancing in MapReduce on homogeneous and heterogeneous clusters: an in-depth review Mohammad Javad Kargar and Meysam Vakili* Department of Computer Engineering, College of Engineering, University of Science and Culture, Tehran, Iran.
Hadoop/MapReduce Object-oriented framework presentation CSCI 5448 Casey McTaggart.
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References_xml – reference: Hadoop/MapReduce Object-oriented framework presentation CSCI 5448 Casey McTaggart.
– reference: YARN, MapReduce 2.0, Hadoop clusters and the Big Data layer cake.
– reference: Hadoop MapReduce Scheduling Algorithms – A Survey Ms. Anjana Sharma Senior Assistant Professor, Computer Science and Engineering Department, New Horizon College of Engineering, Bangalore, India.
– reference: Load balancing in MapReduce on homogeneous and heterogeneous clusters: an in-depth review Mohammad Javad Kargar and Meysam Vakili* Department of Computer Engineering, College of Engineering, University of Science and Culture, Tehran, Iran.
– reference: Load Balancing in MapReduce Environments for Data Intensive Applications Yang Liu1.
– reference: Maozhen Li,Nasullah Khalid Alham, Suhel Hammoud and Mahesh Ponraj, School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK The Key Laboratory of Embedded Systems and Service Computing, Ministry of Education, Tongji University, China, http://www.cse.scu.edu/~mwang2/projects/CDH_installConfig1_13m.pdf.
– reference: An optimal task selection scheme for Hadoop scheduling S.Suresh, N.P.Gopalan Depatment of computer Applications, National institute of technology, Tiruchirapalli.
– reference: Suresh, N.P. Gopalan. “An Optimal Task Selection Scheme for Hadoop Scheduling”, IERI Procedia, 2014.
– reference: Cluster Computing at a Glance Mark Bakery and Rajkumar Buyya Division of Computer Science University of Portsmouth Southsea, Hants, UK z School of Computer Science and Software Engineering Monash University Melbourne, Australia.
– reference: HPCA: A Node Selection and Scheduling Method for Hadoop MapReduce Archana.G.K1, V.Deeban Chakravarthy2 1 II M.Tech, Department Of Computer Science and Engineering, SRM University, Chennai. 2 Assistant Professor, Department Of Computer Science and Engineering, SRM University, Chennai.
– reference: https://www.cloudera.com/documentation/enterprise/5-7-x/topics/admin_hdfs_balancer.html, https://www.oreilly.com/ideas/distributed-systems-a-quick-and-simple-definition.
– reference: Wickham, Hadley (2011). The split-apply-combine strategy for data analysis. Journal of Statistical Software.
– reference: White T. Hadoop: the definitive guide[M]. O’Reilly, 2012.
– reference: An Optimization Algorithm for Heterogeneous HadoopClusters Basedon Dynamic Load Balancing Wei Yan, ChunLin Li, ShuMeng Du, XiJun Mao Software Engineering Wuhan University of Technology No.1186, Heping Boulevard, Wuchang District, Wuhan, Hubei CHINA.
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Snippet Hadoop is an open-source utility which allows users to provide massive input in terms of data and facilitates the computation. Role of Hadoop in load balancing...
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SubjectTerms Advances in Computational Intelligence
Algorithms
Clusters
Commodities
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Configurations
Data Structures and Information Theory
Design
Distributed processing
Employment
FIFO
Homogeneity
Information Systems and Communication Service
Load balancing
Nodes
Original Research
Paradigms and Applications
Pattern Recognition and Graphics
Product reviews
Software Engineering/Programming and Operating Systems
User generated content
Vision
Work stations
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Title Optimized Approach (SPCA) for Load Balancing in Distributed HDFS Cluster
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