Adaptive workload distribution for local and remote Clouds

TitleAdaptive workload distribution for local and remote Clouds
Publication TypeConference Proceedings
Year of Publication2016
AuthorsWang L, Brun O, Gelenbe E
Conference NameIEEE International Conference on Systems, Man, and Cybernetics (SMC)
Pagination3984-3988
PublisherIEEE
Conference LocationBudapest, Hungary
ISBN978-1-5090-1897-0
KeywordsAdaptive Networked Systems, Cloud computing, Global Internet, Performance Management, Quality of service, Smart Intercontinental Networks, World-Wide Experiments
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.

DOI10.1109/SMC.2016.7844856

Historia zmian

Data aktualizacji: 14/04/2017 - 13:25; autor zmian: Sami Erol Gelenbe (seg@iitis.pl)