Evaluating MapReduce for seismic data processing using a practical application
Huge amounts of seismic data undergo complex iterative processing in the oil industry to get knowledge of the earth’s subsurface structure to detect where oil can be found and recovered.To evaluate the suitability of MapReduce for seismic processing algorithms,the algorithm design and implementation...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.010/ |
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| _version_ | 1841539838504861696 |
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| author | Chang-hai ZHAO Hai-hua YAN Xiao-peng LIU Deng XIONG Xiao-hua SHI |
| author_facet | Chang-hai ZHAO Hai-hua YAN Xiao-peng LIU Deng XIONG Xiao-hua SHI |
| author_sort | Chang-hai ZHAO |
| collection | DOAJ |
| description | Huge amounts of seismic data undergo complex iterative processing in the oil industry to get knowledge of the earth’s subsurface structure to detect where oil can be found and recovered.To evaluate the suitability of MapReduce for seismic processing algorithms,the algorithm design and implementation of Fresnel tomography on Hadoop MapReduce was described.Experiments demonstrate that MapReduce is approximately 3 times slower than MPI,and tuning the performance of MapReduce is really hard.To expand its applicability to high performance computing for oil industry,MapReduce should be improved in the flexibility and provide the opportunity to exploit fine-grained thread-level parallelism.Finally,research ideas to achieve these objectives were presented. |
| format | Article |
| id | doaj-art-cb7ec906787e42e0a51fdd6179264835 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-cb7ec906787e42e0a51fdd61792648352025-01-14T06:34:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-0133818959669609Evaluating MapReduce for seismic data processing using a practical applicationChang-hai ZHAOHai-hua YANXiao-peng LIUDeng XIONGXiao-hua SHIHuge amounts of seismic data undergo complex iterative processing in the oil industry to get knowledge of the earth’s subsurface structure to detect where oil can be found and recovered.To evaluate the suitability of MapReduce for seismic processing algorithms,the algorithm design and implementation of Fresnel tomography on Hadoop MapReduce was described.Experiments demonstrate that MapReduce is approximately 3 times slower than MPI,and tuning the performance of MapReduce is really hard.To expand its applicability to high performance computing for oil industry,MapReduce should be improved in the flexibility and provide the opportunity to exploit fine-grained thread-level parallelism.Finally,research ideas to achieve these objectives were presented.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.010/oil explorationMapReduceFresnel tomographyhigh performance computingseismic data |
| spellingShingle | Chang-hai ZHAO Hai-hua YAN Xiao-peng LIU Deng XIONG Xiao-hua SHI Evaluating MapReduce for seismic data processing using a practical application Tongxin xuebao oil exploration MapReduce Fresnel tomography high performance computing seismic data |
| title | Evaluating MapReduce for seismic data processing using a practical application |
| title_full | Evaluating MapReduce for seismic data processing using a practical application |
| title_fullStr | Evaluating MapReduce for seismic data processing using a practical application |
| title_full_unstemmed | Evaluating MapReduce for seismic data processing using a practical application |
| title_short | Evaluating MapReduce for seismic data processing using a practical application |
| title_sort | evaluating mapreduce for seismic data processing using a practical application |
| topic | oil exploration MapReduce Fresnel tomography high performance computing seismic data |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.010/ |
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