A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
On Cloud computational models and the heterogeneity challenge
2011
Journal of Internet Services and Applications
Cloud computing is by far the most cost-effective technology for hosting Internet-scale services and applications. The MapReduce model, in particular, is largely used nowadays in Cloud infrastructures to meet the demand of large-scale data and computation intensive applications. Despite its success, the implications of MapReduce on the management of Cloud workload and cluster resources are still largely unstudied. In this article, we show that dealing with the heterogeneity of workloads and
doi:10.1007/s13174-011-0054-7
fatcat:bskclzv3ajebdjg3swh2w7pema