{"id":1982,"date":"2015-12-27T13:19:57","date_gmt":"2015-12-27T05:19:57","guid":{"rendered":"http:\/\/people.utm.my\/haslinasarkan\/?page_id=1982"},"modified":"2016-01-01T20:55:41","modified_gmt":"2016-01-01T12:55:41","slug":"analyzing-log-in-big-data-environment-a-review","status":"publish","type":"page","link":"https:\/\/people.utm.my\/haslinasarkan\/analyzing-log-in-big-data-environment-a-review-2\/analyzing-log-in-big-data-environment-a-review\/","title":{"rendered":"Abstract"},"content":{"rendered":"<p style=\"text-align: center\">Marlina Abdul Latib, Saiful Adli Ismail, Haslina Md Sarkan, Rasimah Che Mohd Yusoff<\/p>\n<p style=\"text-align: center\">ICRIIS 2015, December 2015,Melaka<\/p>\n<p style=\"text-align: center\"><strong>Abstract<\/strong><\/p>\n<p>Log Analysis is a crucial process in most system and network activities where log data is used for various reasons\u00a0such as for performance monitoring, security auditing or even for reporting and profiling. However, as years passed by, the\u00a0volume of log data increases along with the size of the system as well as the number of users involved. Traditional or\u00a0existing log analyzer tools are not able to handle the massive amount of data. Therefore, Big Data is the solution to\u00a0overcome this issue. The main purpose of this paper is to present a review of log file analysis in Big Data environment\u00a0based on previous research works. This paper also highlights the characteristics of Big Data as well as Hadoop Framework\u00a0that has been widely used as Big Data application. Results from the papers reviewed shows that majority\u00a0researchers\u00a0applied MapReduce as the main component of Hadoop for analyzing the log files and HDFS as the data\u00a0storage. Previous researchers have also used other tools and algorithms together with the Hadoop Framework for analysis\u00a0purposes. The findings of this paper will provide a comprehensible review of Hadoop usage performance in analyzing\u00a0different types of log files and recommend understandable results for end users to use in future work.<\/p>\n<p>Keywords: <em>big data, big data characteristics, data preprocessing, Hadoop, HDFS, log analysis, log files, MapReduce<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Marlina Abdul Latib, Saiful Adli Ismail, Haslina Md Sarkan, Rasimah Che Mohd Yusoff ICRIIS 2015, December 2015,Melaka Abstract Log Analysis is a crucial process in most system and network activities where log data is used for various reasons\u00a0such as for performance monitoring, security auditing or even for reporting and profiling. However, as years passed by, [&hellip;]<\/p>\n","protected":false},"author":6477,"featured_media":0,"parent":2039,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-1982","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/1982","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/users\/6477"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/comments?post=1982"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/1982\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/pages\/2039"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/haslinasarkan\/wp-json\/wp\/v2\/media?parent=1982"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}