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Understanding the characteristics of MapReduce workloads in a Hadoop cluster is the key to making optimal configuration decisions and improving the system efficiency and throughput. However, workload analysis on a Hadoop cluster, particularly in a large-scale e-commerce production environment, has not been well studied yet. In this paper, we performed a comprehensive workload analysis using the trace...
MapReduce is a state-of-the-art computation paradigm that is becoming widely used for processing large-scale datasets. Hadoop is an open-source implementation of MapReduce and follows a masterCslave architecture. This architecture makes Hadoop suffer from a single point of failure in the JobTracker. In this paper, we design a solution to resolve the single point of failure of the Job Tracker and then...
MapReduce is becoming the state-of-the-art computing paradigm for processing large-scale datasets on a large cluster with tens or thousands of nodes. It has been widely used in various fields such as e-commerce, Web search, social networks, and scientific computation. Understanding the characteristics of MapReduce workloads is the key to achieving better configuration decisions and improving the system...
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