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dc.creatorTzanakaki, A.en
dc.creatorAnastasopoulos, M. P.en
dc.creatorPeng, S.en
dc.creatorRofoee, B.en
dc.creatorYan, Y.en
dc.creatorSimeonidou, D.en
dc.creatorLandi, G.en
dc.creatorBernini, G.en
dc.creatorCiulli, N.en
dc.creatorRiera, J. F.en
dc.creatorEscalona, E.en
dc.creatorGarcia-Espin, J. A.en
dc.creatorKatsalis, K.en
dc.creatorKorakis, T.en
dc.date.accessioned2015-11-23T10:52:36Z
dc.date.available2015-11-23T10:52:36Z
dc.date.issued2014
dc.identifier.isbn9783901882609
dc.identifier.urihttp://hdl.handle.net/11615/34109
dc.description.abstractMobile 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.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84905497525&partnerID=40&md5=52b79bbb889de451bf50399812e419da
dc.subjectConverged Infrastructuresen
dc.subjectenergy efficiencyen
dc.subjectMobile Cloud Computingen
dc.subjectqueuing theoryen
dc.subjectVirtual Infrastructure Planningen
dc.subjectDigital storageen
dc.subjectEnergy utilizationen
dc.subjectMobile devicesen
dc.subjectNetwork architectureen
dc.subjectQueueing theoryen
dc.subjectArchitectural approachen
dc.subjectEnabling technologiesen
dc.subjectEnergy consumption levelsen
dc.subjectOperational expendituresen
dc.subjectWireless access networksen
dc.titleA converged network architecture for energy efficient mobile cloud computingen
dc.typeconferenceItemen


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