Symmetry determination by CBED has been carried out for LiZnTa3O9 and LiGaTa3O9 crystals, which were first grown in our laboratory, LiZnTa3O9 is rhombohedral with lattice parameters, a=0.557 nm, a=56.12°,The point group is 3m and the space group is R3c. LiCaTa3O9 is tetragonal with lattice parameters a=0.778 nm, c=0.783nm. The point group is 4/mmm.
Recently, MapReduce has been a popular distributed programming framework for solving data-intensive applications. However, a large-scale MapReduce cluster has inevitable machine/node failures and considerable energy consumption. To solve these problems, MapReduce has employed several policies for replicating input data, storing/replicating intermediate data, and re-executing failed tasks. In this study, we concentrate on two typical policies for storing/replicating intermediate data, and derive the job completion reliability (JCR for short) and job energy consumption (JEC for short) of a MapReduce cluster when the two policies are individually employed. The two policies are further analyzed and compared given various scenarios in which jobs with different input data sizes, numbers of reduce tasks, and other parameters are run in a MapReduce cluster with two extreme parallel execution capabilities. From the analytical results, MapReduce managers are able to comprehend how the two policies influence the JCR and JEC of a MapReduce cluster.
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