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With the upsurge in the volume of data and profuse cloud applications, big data analytics becomes very popular in the research communities in industry as well as in academia. This led to the emergence of real-time distributed stream processing systems such as Flink, Storm, Spark, and Samza. These systems sanction complex queries on streaming data to be distributed across multiple worker nodes in a...
Hadoop is a standard implementation of MapReduce framework for running data-intensive applications on the clusters of commodity servers. By thoroughly studying the framework we find out that the shuffle phase, all-to-all input data fetching phase in reduce task significantly affect the application performance. There is a problem of variance in both the intermediate key's frequencies and their distribution...
Hadoop is a standard implementation of MapReduce framework for running data-intensive applications on the clusters of commodity servers. By thoroughly studying the framework we find out that the shuffle phase, all-to-all input data fetching phase in reduce task significantly affect the application performance. There is a problem of variance in both the intermediate key's frequencies and their distribution...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.