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A vibrant data placement approach for map reduce in diverse environments
2018
International Journal of Engineering & Technology
Map reduce assumes that the computing capacity is same for each node in a cluster. Each node is assigned to the same load in homogeneous environment, hence it fully use the resources in the cluster. In such a cluster, there is likely to be various specifications of PCs or servers, which causes the abilities of the nodes to differ. If such a heterogeneous environment still uses the original Hadoop strategy that distributes data blocks into each node equally and the load is also evenly
doi:10.14419/ijet.v7i2.4.10034
fatcat:vovw2qjl7ng3jp2rzhgpyeuuxm