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Infrastructure-as-a-Service (IaaS) cloud platforms have brought two unprecedented changes to cluster provisioning practices. First, any (nonexpert) user can provision a cluster of any size on the cloud within minutes to run her data-processing jobs. The user can terminate the cluster once her jobs complete, and she needs to pay only for the resources used and duration of use. Second, cloud platforms enable users to bypass the traditional middleman---the system administrator---in the cluster-provisioning process. These changes give tremendous power to the user, but place a major burden on her shoulders. The user is now faced regularly with complex cluster sizing problems that involve finding the cluster size, the type of resources to use in the cluster from the large number of choices offered by current IaaS cloud platforms, and the job configurations that best meet the performance needs of her workload.
Herodotou et al. (Wed,) studied this question.
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