Cost-Effective Resource Provisioning for Mapreduce in a Cloud

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Provided by: Institute of Electrical & Electronic Engineers
Topic: Cloud
Format: PDF
Cloud computing and its pay-as-you-go cost structure have enabled hardware infrastructure service providers, platform service providers as well as software and application service providers to offer computing services on demand and pay per use just like how the user use utility today. This growing trend in cloud computing, combined with the demands for Big Data and Big Data analytics, is driving the rapid evolution of datacenter technologies towards more cost-effective, consumer driven and technology agnostic solutions. The most popular approach towards such big data analytics is using MapReduce and its open-source implementation called Hadoop.
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