dc.creator | Anastasopoulos, M. P. | en |
dc.creator | Tzanakaki, A. | en |
dc.creator | Rofoee, B. R. | en |
dc.creator | Peng, S. | en |
dc.creator | Yan, Y. | en |
dc.creator | Simeonidou, D. | en |
dc.creator | Landi, G. | en |
dc.creator | Bernini, G. | en |
dc.creator | Ciulli, N. | en |
dc.creator | Riera, J. F. | en |
dc.creator | Escalona, E. | en |
dc.creator | Katsalis, K. | en |
dc.creator | Korakis, T. | en |
dc.date.accessioned | 2015-11-23T10:22:11Z | |
dc.date.available | 2015-11-23T10:22:11Z | |
dc.date.issued | 2015 | |
dc.identifier | 10.1007/s11107-015-0494-2 | |
dc.identifier.issn | 1387974X | |
dc.identifier.uri | http://hdl.handle.net/11615/25541 | |
dc.description.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. © 2015, Springer Science+Business Media New York. | en |
dc.source | Photonic Network Communications | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84929949196&partnerID=40&md5=e2059f5c9f685a596de0fa25da4e4092 | |
dc.subject | Converged infrastructures | en |
dc.subject | Energy efficiency | en |
dc.subject | Mobile cloud computing | en |
dc.subject | Queuing theory | en |
dc.subject | Virtual infrastructure planning | en |
dc.subject | Cloud computing | en |
dc.subject | Computation theory | en |
dc.subject | Digital storage | en |
dc.subject | Economic and social effects | en |
dc.subject | Energy utilization | en |
dc.subject | Mobile devices | en |
dc.subject | Mobile telecommunication systems | en |
dc.subject | Nonlinear programming | en |
dc.subject | Queueing theory | en |
dc.subject | Wireless networks | en |
dc.subject | Energy consumption levels | en |
dc.subject | Nonlinear programming model | en |
dc.subject | Operational expenditures | en |
dc.subject | Optical wireless networks | en |
dc.subject | Wireless access networks | en |
dc.title | Optical wireless network convergence in support of energy-efficient mobile cloud services | en |
dc.type | journalArticle | en |