Research Article

An Exploratory Survey of Hadoop Log Analysis Tools

by  Madhury Mohandas, Dhanya P M
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Issue 18
Published: August 2013
Authors: Madhury Mohandas, Dhanya P M
10.5120/13350-0750
PDF

Madhury Mohandas, Dhanya P M . An Exploratory Survey of Hadoop Log Analysis Tools. International Journal of Computer Applications. 75, 18 (August 2013), 33-36. DOI=10.5120/13350-0750 

                        @article{ 10.5120/13350-0750,
                        author  = { Madhury Mohandas,Dhanya P M },
                        title   = { An Exploratory Survey of Hadoop Log Analysis Tools },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 75 },
                        number  = { 18 },
                        pages   = { 33-36 },
                        doi     = { 10.5120/13350-0750 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Madhury Mohandas
                        %A Dhanya P M
                        %T An Exploratory Survey of Hadoop Log Analysis Tools%T 
                        %J International Journal of Computer Applications
                        %V 75
                        %N 18
                        %P 33-36
                        %R 10.5120/13350-0750
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

In view of the fact that clusters used in large scale computing are on the rise, ensuring the wellbeing of these clusters is of paramount significance. This highlights the importance of supervising and monitoring the cluster. In this regard, many tools have been contributed that can efficiently monitor the Hadoop cluster. The majority of these tools congregates necessary information from each of the node in the cluster and takes it for processing. These diagnosis tools are mostly post execution analysis tools. This paper presents an exploratory assessment of the different log analyzers used for failure detection and monitoring in Hadoop.

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Index Terms
Computer Science
Information Sciences
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Keywords

Cloud computing HDFS Failure monitoring Hadoop Log analyzer

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