Towards a Collective Layer in the Big Data Stack

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Provided by: Indiana University
Topic: Cloud
Format: PDF
During the last decade three largely industry-driven disruptive trends have altered the landscape of scalable parallel computing, which has long been dominated by the HPC applications. These disruptions are the emergence of data intensive computing (aka big data), the new emergence of commodity cluster-based execution & storage frameworks such as MapReduce and the utility computing model introduced by cloud computing environments. Oftentimes MapReduce is used to process the \"Big data\" in cloud or cluster environments.
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