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Straggler handling approaches in mapreduce framework: a comparative study
2021
International Journal of Power Electronics and Drive Systems (IJPEDS)
The proliferation of information technology produces a huge amount of data called big data that cannot be processed by traditional database systems. These Various types of data come from different sources. However, stragglers are a major bottleneck in big data processing, and hence the early detection and accurate identification of stragglers can have important impacts on the performance of big data processing. This work aims to assess five stragglers identification methods: Hadoop native
doi:10.11591/ijece.v11i1.pp375-382
fatcat:odidhj5otnepdd73cvqdq4urom