2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS) 2020
DOI: 10.1109/icpads51040.2020.00067
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SrSpark: Skew-resilient Spark based on Adaptive Parallel Processing

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“…Li and Zhang [40] established a virtual partition for data partition with a huge amount of data, then used the hash partition method to further partition the data to alleviate the calculation pressure. Shen and Xiong [41] also subdivided the partition into sub partitions, adjusting the data skew and scheduled the tasks on the basis of the granularity of the sub partition. Wang and Jia [42] evaluated the data distribution according to the frequency of each data type, which was then analyzed to guide further merging or split operations of the partitions.…”
Section: Introductionmentioning
confidence: 99%
“…Li and Zhang [40] established a virtual partition for data partition with a huge amount of data, then used the hash partition method to further partition the data to alleviate the calculation pressure. Shen and Xiong [41] also subdivided the partition into sub partitions, adjusting the data skew and scheduled the tasks on the basis of the granularity of the sub partition. Wang and Jia [42] evaluated the data distribution according to the frequency of each data type, which was then analyzed to guide further merging or split operations of the partitions.…”
Section: Introductionmentioning
confidence: 99%