Home // ALLDATA 2018, The Fourth International Conference on Big Data, Small Data, Linked Data and Open Data // View article

Design of Elastic Hadoop Supporting Dynamic Scaling of the Cluster

Authors:
Wooseok Ryu

Keywords: Hadoop; cluster management; scalability

Abstract:
This paper discusses the problem of node management in the Hadoop cluster and presents a mechanism for managing the Hadoop cluster more elastically. The proposed mechanism supports instant removal of a slave node from the cluster and reconnection to the cluster. Using this, the cluster can be managed more elastically because slave nodes no longer need to be dedicated to the cluster. The experimental results show that the proposed mechanism can process 5 times faster than when a slave node is arbitrarily stopped

Pages: 26 to 27

Copyright: Copyright (c) IARIA, 2018

Publication date: April 22, 2018

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-631-6

Location: Athens, Greece

Dates: from April 22, 2018 to April 26, 2018