dc.creator | Tzanakaki, A. | en |
dc.creator | Anastasopoulos, M. P. | en |
dc.creator | Peng, S. | en |
dc.creator | Rofoee, B. | 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 | Garcia-Espin, J. A. | en |
dc.creator | Katsalis, K. | en |
dc.creator | Korakis, T. | en |
dc.date.accessioned | 2015-11-23T10:52:36Z | |
dc.date.available | 2015-11-23T10:52:36Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 9783901882609 | |
dc.identifier.uri | http://hdl.handle.net/11615/34109 | |
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 Non Linear 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 related to end-to-end service delay, resource requirements and energy consumption levels of the infrastructure across the various technology domains. © 2014 IFIP. | en |
dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84905497525&partnerID=40&md5=52b79bbb889de451bf50399812e419da | |
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 | Digital storage | en |
dc.subject | Energy utilization | en |
dc.subject | Mobile devices | en |
dc.subject | Network architecture | en |
dc.subject | Queueing theory | en |
dc.subject | Architectural approach | en |
dc.subject | Enabling technologies | en |
dc.subject | Energy consumption levels | en |
dc.subject | Operational expenditures | en |
dc.subject | Wireless access networks | en |
dc.title | A converged network architecture for energy efficient mobile cloud computing | en |
dc.type | conferenceItem | en |