Teraproc Application Autoscaler

As the Big Data explosion continues, Data Scientists are increasingly needing to run a mix of traditional batch oriented workloads with service oriented workloads on Hadoop clusters in order to process and analyze the massive amounts of data, and turn the data into knowledge. While the Hadoop resource manager supports dynamic allocation of resources for batch workloads, computing resources are statically allocated to workloads requiring long running services (non-batch workloads), resulting in ...
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