Fusion-based Hadoop MapReduce job for fault tolerance in distributed systems
Standard recovery solution on a failed task in Hadoop systems is to execute the task again. After retrying for a configured number of times, it is marked as failure. With significant amount of data, complicated Map and Reduce functions, recovering corrupted or unfinished data from a failed job can b...
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| Format: | Others |
| Language: | en_US |
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2013
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| Online Access: | http://hdl.handle.net/2152/22605 |