Dynamic Cloud Deployment of a MapReduce Architecture

Steve Loughran, Jose M. Alcaraz Calero, Andrew Farrell, Johannes Kirschnick, Julio Guijarro

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


Cloud-based Map Reduce services process large datasets in the cloud, significantly reducing users' infrastructure requirements. Almost all of these services are cloud-vendor-specific and thus internally designed within their own cloud infrastructures, resulting in two important limitations. First, cloud vendors don't let developers see and evaluate how the Map Reduce architecture is managed internally. Second, users can't build their own private cloud-infrastructure-based offerings or use different public cloud infrastructures for deploying Map Reduce services. The authors' proposed framework enables the dynamic deployment of a Map Reduce service in virtual infrastructures from either public or private cloud providers.
Original languageEnglish
Pages (from-to)40-50
Number of pages11
JournalIEEE Internet Computing
Issue number6
Publication statusPublished - Nov 2012
Externally publishedYes


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