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Seamless service continuity in cloud based lte systems

Satria, Triadimas Arief (2013) Seamless service continuity in cloud based lte systems.

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Abstract:Cloud computing model offers better network resource utilization by pooling shared computing resources that can be rapidly provisioned and released. The increasing use of mobile devices (e.g. smart phones, tablets, etc.) has increased the complexity in provisioning cellular network resources. Applying cloud computing model in LTE systems could be a good solution to increase LTE’s performance by building a shared distributed LTE mobile network that can optimize the utilization of resources, minimize communication delays, and avoid bottlenecks. One of the most important concepts used in mobile networks is service continuity. Mobile users moving from one sub-network to another sub-network should be able to seamlessly continue retrieving content and use services (e.g. video streaming, gamming, VoIP, etc.) that they want. In cloud based LTE systems, services are hosted on Virtual Machines (VMs) that can move and migrate across multiple networks to locations that are the best to deliver services to mobile users. The migration of VMs and/or service/functionality instances running on such VMs should happen without losing service continuity. In this thesis, Content Centric Networking (CCN) is evaluated and verified whether it is possible to be implemented in cloud based LTE systems as a solution for service continuity. Several integration options of CCN in LTE systems and the proposed solutions to support VM and/or content migration are described in detail. Two sets of experiments that focus on “Content Migration Support” and “VM and Content Migration Support” are implemented and performed using ns-3 LENA simulation environment together with ndnSIM. The simulation results demonstrate that the proposed solution can support seamless service continuity when content migration occurs. However, in order to support service continuity when VM migration occurs, the implementation of solutions such as mobility prediction systems are needed to predict the movement of users and determine when the VM migration should be triggered in advance.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Internet Science and Technology MSc (60032)
Link to this item:http://purl.utwente.nl/essays/64557
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