Optical wireless network convergence in support of energy-efficient mobile cloud services

Markos P. Anastasopoulos*, Anna Tzanakaki, Bijan Rahimzadeh Rofoee, Shuping Peng, Yan Yan, Dimitra Simeonidou, Giada Landi, Giacomo Bernini, Nicola Ciulli, Jordi Ferrer Riera, Eduard Escalona, Kostas Katsalis, Thanasis Korakis

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)269-281
Number of pages13
JournalPhotonic Network Communications
Issue number3
Publication statusPublished - 8 Apr 2015


  • Converged infrastructures
  • Energy efficiency
  • Mobile cloud computing
  • Queuing theory
  • Virtual infrastructure planning


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