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An approach based on Virtual Partition is proposed to improve the load balance in Reduce phase in MapReduce-based system in cloud computing. After each Map task finished, the output keys are partitioned to different virtual partitions according to Hash Function. And LBVP (a load balance algorithm based on continuous virtual partition) is designed to combine all virtual partitions to the same number...
The current Hadoop implementation assumes that computing nodes in a cluster are homogeneous. Due to the fact that the input data are split into data blocks with a predefined block size, Hadoop suffers performance degradation during Map phase in heterogeneous cluster. To solve this problem, we propose a heterogeneity-aware data distribution and rebalance method in heterogeneous Hadoop cluster. The...
In MapReduce model, the job execution time was prolonged by the straggler tasks in heterogeneity environments. The LATE scheduler has introduced the longest remaining time strategy, but it also has some drawbacks such as inaccurate estimated time and the wasting of system resources. In order to solve these problems, we propose two main algorithms : The parameter dynamic-tuning algorithm based history...
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