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
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ISSN:2662-995X, 2661-8907
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2662-995X
2661-8907
DOI:10.1007/s42979-020-0107-8