GreenHadoop: Leveraging Green Energy in Data-Processing Frameworks

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Provided by: Association for Computing Machinery
Topic: Big Data
Format: PDF
Interest has been growing in powering datacenters (at least partially) with renewable or \"Green\" sources of energy, such as solar or wind. However, it is challenging to use these sources because, unlike the \"Brown\" (carbon-intensive) energy drawn from the electrical grid, they are not always available. This means that energy demand and supply must be matched, if the authors are to take full advantage of the green energy to minimize brown energy consumption. In this paper, they investigate how to manage a datacenter's computational workload to match the green energy supply. In particular, they consider data-processing frameworks, in which many background computations can be delayed by a bounded amount of time.
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