Abstract
Mobile computation offloading has been identified as a key-enabling technology to overcome the inherent processing power and storage constraints of mobile end devices. To satisfy the low-latency requirements of content-rich mobile applications, existing mobile cloud computing solutions allow mobile devices to access the required resources by accessing a nearby resource-rich cloudlet, suffering increased capital and operational expenditures. To address this issue, in this paper, we propose an infrastructure and architectural approach based on the orchestrated planning and operation of optical data center networks and wireless access networks. To this end, a novel formulation based on a multi-objective nonlinear programming model is presented that considers energy-efficient virtual infrastructure planning over the converged wireless, optical network interconnecting DCs with mobile devices, taking a holistic view of the infrastructure. Our modelling results identify trends and trade-offs relating to end-to-end service delay, mobility, resource requirements and energy consumption levels of the infrastructure across the various technology domains.
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Notes
In the wireless access domain, \(m_{n}\) corresponds to the number of input queues at an eNodeB, while in the optical domain, it corresponds to the number of receiver/transmitter queues in the TSON edge node.
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Acknowledgments
This work was carried out with the support of the CONTENT (FP7-ICT- 318514) project funded by the EC through the 7th ICT Framework Program.
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Anastasopoulos, M.P., Tzanakaki, A., Rofoee, B.R. et al. Optical wireless network convergence in support of energy-efficient mobile cloud services. Photon Netw Commun 29, 269–281 (2015). https://doi.org/10.1007/s11107-015-0494-2
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DOI: https://doi.org/10.1007/s11107-015-0494-2