Adaptive workload distribution for local and remote Clouds [1]
| Tytuł | Adaptive workload distribution for local and remote Clouds |
| Publication Type | Conference Proceedings |
| Rok publikacji | 2016 |
| Autorzy | Wang L [2], Brun O [3], Gelenbe E [4] |
| Conference Name | IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
| Pagination | 3984-3988 |
| Publisher | IEEE |
| Conference Location | Budapest, Hungary |
| ISBN | 978-1-5090-1897-0 |
| Słowa kluczowe | Adaptive Networked Systems [5], Cloud computing [6], Global Internet [7], Performance Management [8], Quality of service [9], Smart Intercontinental Networks [10], World-Wide Experiments [11] |
| Abstract | 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. |
| DOI | 10.1109/SMC.2016.7844856 [12] |