Title :
Cloud computing models and their application in LTE based cellular systems
Author :
Staring, A.J. ; Karagiannis, G.
Author_Institution :
Univ. of Twente, Enschede, Netherlands
Abstract :
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.
Keywords :
Long Term Evolution; cellular radio; cloud computing; subscriber loops; Eucalyptus; LTE based cellular systems; OpenNebula; OpenStack; access network; bandwidth requirements; cloud computing; core network equipment; data storage systems; long communication paths; Cloud computing; Computational modeling; Mobile communication; Servers; Virtual machine monitors; Virtual machining; Cloud computing platforms; LTE; Network virtualisation / cloudification; cellular systems;
Conference_Titel :
Communications Workshops (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/ICCW.2013.6649333