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.
BT - IEEE International Conference on Systems, Man, and Cybernetics (SMC) CY - Budapest, Hungary DO - 10.1109/SMC.2016.7844856 LA - eng N2 -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.
PB - IEEE PP - Budapest, Hungary PY - 2016 SP - 3984 EP - 3988 T2 - IEEE International Conference on Systems, Man, and Cybernetics (SMC) TI - Adaptive workload distribution for local and remote Clouds SN - 978-1-5090-1897-0 ER -