Result Integrity Check for MapReduce Computation on Hybrid Clouds

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Provided by: IBM
Topic: Cloud
Format: PDF
Large scale adoption of MapReduce computations on public clouds is hindered by the lack of trust on the participating virtual machines, because misbehaving worker nodes can compromise the integrity of the computation result. In this paper, the authors propose a novel MapReduce framework, Cross Cloud MapReduce (CCMR), which overlays the MapReduce computation on top of a hybrid cloud: the master that is in control of the entire computation and guarantees result integrity runs on a private and trusted cloud, while normal workers run on a public cloud.
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