00993nas a2200157 4500000000100000000000100001008004100002260002800043100001100071700001100082700001700093245006300110300001400173520062500187022002300812 2016 d bIEEEaBudapest, Hungary1 aL Wang1 aO Brun1 aErol Gelenbe00aAdaptive workload distribution for local and remote Clouds a3984-39883 a

Cloud systems include both locally based servers at user premises and remote servers and multiple Clouds that can be reached over the Internet. This paper describes a smart distributed system that combines local and remote Cloud facilities. It operates with a task allocation system that takes decisions to allocate tasks dynamically to the service that offers the best overall Quality of Service and a routing overlay which optimizes network delay for data transfer between clouds. Internet-scale experiments exhibit the effectiveness of our approach in adaptively distributing workload across multiple clouds.

 a978-1-5090-1897-0