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Parallelism in the Cloud
Eric Brewer, University of California, Berkeley, and Google
Parallelism in the cloud comes in two basic flavors: low-latency queries and batch processing. These flavors are both fundamental but quite different in their needs. By separating the two we can build simpler systems that support both well. In particular, we cover the design of a new OS for cloud computing that brings these concepts all the way down to the metal, where the job shifts from virtualizing resources for typically local human users to more direct support for these two classes of parallelism under the remote control of a cluster-wide scheduler.
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title = {Parallelism in the Cloud},
year = {2013},
address = {San Jose, CA},
publisher = {USENIX Association},
month = jun
}
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