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
Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds
2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Purpose-built clusters permeate many of today's organizations, providing both large-scale data storage and computing. Within local clusters, competition for resources complicates applications with deadlines. However, given the emergence of the cloud's pay-as-you-go model, users are increasingly storing portions of their data remotely and allocating compute nodes ondemand to meet deadlines. This scenario gives rise to a hybrid cloud, where data stored across local and cloud resources may bedoi:10.1109/ccgrid.2012.95 dblp:conf/ccgrid/BicerCA12 fatcat:mmq5kxt4uzef5dqlmexnascv3i