Jul 6, 2020 · The contribution of this paper is to propose a new method to estimate the runtime of a job in Hadoop MapReduce version 2.
Estimating runtime of a job in Hadoop MapReduce - ResearchGate
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Hadoop MapReduce is a framework to process vast amounts of data in the cluster of machines in a reliable and fault-tolerant manner. To better management of ...
Jun 28, 2016 · The summation of mapper and reducer is the total CPU time. They are equal. CPU-time is the time taken by the mapreduce application to run. The ...
Oct 12, 2024 · Hadoop MapReduce is a framework to process vast amounts of data in the cluster of machines in a reliable and fault-tolerant manner.
Hadoop MapReduce is a framework to process vast amounts of data in the cluster of machines in a reliable and fault-tolerant manner.
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Estimating runtime of a job in Hadoop MapReduce. Authors. Peyravi, Narges; Moeini, Ali. Abstract. Hadoop MapReduce is a framework to process vast amounts of ...
The schedulers are critical in enhancing the performance of MapReduce/Hadoop in presence of multiple jobs with different characteristics and performance goals.
Apr 21, 2013 · Use JobHistory files written out per job by the JobTracker or YARN/MRv2 and use Rumen to parse them. Apache Ambari (http://incubator.apache.org/ ...
Apr 16, 2018 · In the second case, by referring to the profile or history of a job in the database and use a weighting system the runtime is estimated. The ...
Aug 12, 2024 · This paper proposes a method to estimate the processing time by using the linear regression technique in the Hadoop MapReduce model.