A converged network architecture for energy efficient mobile cloud computing: 18th International Conference on Optical Networking Design and Modeling, ONDM 2014

A. Tzanakaki, M.P. Anastasopoulos, S. Peng, B. Rofoee, Y. Yan, D. Simeonidou, G. Landi, G. Bernini, N. Ciulli, J.F. Riera, E. Escalona, J.A. Garcia-Espin, K. Katsalis, T. Korakis, [Unknown] [Unknown]

Research output: Contribution to conferenceOther Conference Contributionpeer-review

16 Citations (Scopus)

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.
Original languageEnglish
Pages120-125
Number of pages6
Publication statusPublished - 2014

Bibliographical note

Conference code: 106692

Cited By :1

Export Date: 16 March 2016

Funding Details: EC, European Commission

References: Rappa, M., The utility business model and the future of computing systems (2004) IBM Systems Journal, 43 (1), pp. 32-42; Dinh, H., Lee, C., Niyato, D., Wang, P., A survey of mobile cloud computing: Architecture, applications, and approaches (2011) Wirel. Commun. Mob. Comput, , Oct; (2013) Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012-2017, , White Paper; Mun, K., Mobile cloud computing challenges TechZine Magazine, , http://www2.alcatel-lucent.com/techzine/mobile-cloud-computingchallenges; Satyanarayanan, M., The case for VM-based cloudlets in mobile computing (2009) IEEE Perv. Comp, 8 (4), pp. 14-23; http://www.gogrid.comhttp://www.flexiscale.comTzanakaki, A., Virtualization of heterogeneous wireless-optical network and IT infrastructures in support of cloud and mobile cloud services (2013) IEEE Commun. Magazine, 51 (8), pp. 155-161. , Aug; http://www.ist-mains.euGiatsios, D., Methodology and tools for measurements on wireless testbeds: The nitos approach (2013) Measurement Methodology and Tools, LNCS, 7586, pp. 61-80. , Springer Berlin Heidelberg; Chang, J., Lim, K.T., Byrne, J., Ramirez, L., Ranganathan, P., Workload diversity and dynamics in big data analytics: Implications to system designers Proc. of ASBD '12; Baskett, F., Chandy, K.M., Muntz, R.R., Palacios, F.G., Open, closed, and mxed networks of queues with different classes of customers (1975) J. ACM, 22 (2), pp. 248-260; Davis, Z., Power Consumption and Cooling in the Data Center: A survey, , http://www.greenbiz.com; http://www.oracle.com/us/industries/healthcare/058454.pdfKumar, K., Lu, Y., Cloud computing for mobile users Computer, PP (99), p. 1. , 1; Auer, G., Giannini, V., Cellular energy efficiency evaluation framework (2011) Proc. of IEEE VTC; Technical Specification Group Services and System Aspects, , 3GPP TS 23.203; Mavrotas, G., Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems (2009) Applied Mathematics and Computation, 213 (2), pp. 455-465

Keywords

  • Converged Infrastructures
  • energy efficiency
  • Mobile Cloud Computing
  • queuing theory
  • Virtual Infrastructure Planning
  • Digital storage
  • Energy efficiency
  • Energy utilization
  • Mobile devices
  • Network architecture
  • Queueing theory
  • Architectural approach
  • Enabling technologies
  • Energy consumption levels
  • Operational expenditures
  • Queuing theory
  • Wireless access networks
  • Mobile cloud computing

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