Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri
Hadoop framework employs MapReduce programming paradigm to process big data by distributing data across a cluster and aggregating. MapReduce is one of the methods used to process big data hosted on large clusters. In this method, jobs are processed by dividing into small pieces and distributing over...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kyrgyz Turkish Manas University
2015-05-01
|
| Series: | MANAS: Journal of Engineering |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/575941 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846140792039538688 |
|---|---|
| author | G. Ozen R. Sultanov |
| author_facet | G. Ozen R. Sultanov |
| author_sort | G. Ozen |
| collection | DOAJ |
| description | Hadoop framework employs MapReduce programming paradigm to process big data by distributing data across a cluster and aggregating. MapReduce is one of the methods used to process big data hosted on large clusters. In this method, jobs are processed by dividing into small pieces and distributing over nodes. The number of nodes in the cluster affect the execution time of jobs. Main idea of this paper is to determine how number of nodes affect the performance of Hadoop framework on a cloud environment with using benchmarking tools. For this purpose, various tests are carried out on a Hadoop cluster with 10 nodes hosted on a cloud environment by running Terabyte Sort benchmarking tools on it. According to test results, increasing number of nodes improves job execution performance of Hadoop framework and reduces job execution time. |
| format | Article |
| id | doaj-art-a83531aecde44d3f85b4a0a6613acd14 |
| institution | Kabale University |
| issn | 1694-7398 |
| language | English |
| publishDate | 2015-05-01 |
| publisher | Kyrgyz Turkish Manas University |
| record_format | Article |
| series | MANAS: Journal of Engineering |
| spelling | doaj-art-a83531aecde44d3f85b4a0a6613acd142024-12-05T04:28:34ZengKyrgyz Turkish Manas UniversityMANAS: Journal of Engineering1694-73982015-05-013111201437Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort DeneyleriG. OzenR. SultanovHadoop framework employs MapReduce programming paradigm to process big data by distributing data across a cluster and aggregating. MapReduce is one of the methods used to process big data hosted on large clusters. In this method, jobs are processed by dividing into small pieces and distributing over nodes. The number of nodes in the cluster affect the execution time of jobs. Main idea of this paper is to determine how number of nodes affect the performance of Hadoop framework on a cloud environment with using benchmarking tools. For this purpose, various tests are carried out on a Hadoop cluster with 10 nodes hosted on a cloud environment by running Terabyte Sort benchmarking tools on it. According to test results, increasing number of nodes improves job execution performance of Hadoop framework and reduces job execution time.https://dergipark.org.tr/en/download/article-file/575941big datamapreducehadoop.büyük verimapreducehadoop |
| spellingShingle | G. Ozen R. Sultanov Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri MANAS: Journal of Engineering big data mapreduce hadoop. büyük veri mapreduce hadoop |
| title | Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri |
| title_full | Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri |
| title_fullStr | Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri |
| title_full_unstemmed | Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri |
| title_short | Hadoop Çatısının Bulut Ortamında Gerçeklenmesi Ve Terabyte Sort Deneyleri |
| title_sort | hadoop catisinin bulut ortaminda gerceklenmesi ve terabyte sort deneyleri |
| topic | big data mapreduce hadoop. büyük veri mapreduce hadoop |
| url | https://dergipark.org.tr/en/download/article-file/575941 |
| work_keys_str_mv | AT gozen hadoopcatısınınbulutortamındagerceklenmesiveterabytesortdeneyleri AT rsultanov hadoopcatısınınbulutortamındagerceklenmesiveterabytesortdeneyleri |