Cloud computing models and their application in LTE based cellular systems
| Autor: | A. J. Staring, Georgios Karagiannis |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
IR-88713
Access network business.industry Computer science Distributed computing Core network 020206 networking & telecommunications Cloud computing 02 engineering and technology METIS-302586 Utility computing Cloud testing Server Computer data storage 0202 electrical engineering electronic engineering information engineering Cellular network CR-C.2.5 020201 artificial intelligence & image processing EWI-24195 CR-C.2.1 business Computer network |
| Zdroj: | IEEE ICC'13-1st International Workshop on Mobile Cloud Networking and Services (MCN), 750-755 STARTPAGE=750;ENDPAGE=755;TITLE=IEEE ICC'13-1st International Workshop on Mobile Cloud Networking and Services (MCN) ICC Workshops |
| Popis: | As cloud computing emerges as the next novel concept in computer science, it becomes clear that the model applied in large data storage systems used to resolve issues coming forth from an increasing demand, could also be used to resolve the very high bandwidth requirements on access network, core network equipment and long communication paths between users and servers in the today's cellular networks. The cloud computing model can be used to avoid bottlenecks, better utilize available resources, and minimize delay. This paper analyses how three deployed major cloud computing platforms, i.e., OpenStack, Eucalyptus and OpenNebula could support this. The analysis showed that none of the studied currently deployed cloud computing platforms can satisfy the derived requirements without enhancing and extending the functions and modules supported by each platform. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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