Cloud offloading for multi-radio enabled mobile devices

S. Eman Mahmoodi, Koduvayur Subbalakshmi, Vidya Sagar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

The advent of 5G networking technologies has increased the expectations from mobile devices, in that, more sophisticated, computationally intense applications are expected to be delivered on the mobile device which are themselves getting smaller and sleeker. This predicates a need for offloading computationally intense parts of the applications to a resource strong cloud. Parallely, in the wireless networking world, the trend has shifted to multi-radio (as opposed to multi-channel) enabled communications. In this paper, we provide a comprehensive computation offloading solution that uses the multiple radio links available for associated data transfer, optimally. Our contributions include: a comprehensive model for the energy consumption from the perspective of the mobile device; the formulation of the joint optimization problem to minimize the energy consumed as well as allocating the associated data transfer optimally through the available radio links and an iterative algorithm that converges to a locally optimal solution. Simulations on an HTC phone, running a 14-component application and using the Amazon EC2 as the cloud, show that the solution obtained through the iterative algorithm consumes only 3% more energy than the optimal solution (obtained via exhaustive search).

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Communications, ICC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5473-5478
Number of pages6
ISBN (Electronic)9781467364324
DOIs
StatePublished - Sep 9 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: Jun 8 2015Jun 12 2015

Publication series

NameIEEE International Conference on Communications
Volume2015-September

Other

OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period6/8/156/12/15

Fingerprint

Mobile devices
Radio links
Data transfer
Energy utilization

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Cite this

Mahmoodi, S. E., Subbalakshmi, K., & Sagar, V. (2015). Cloud offloading for multi-radio enabled mobile devices. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 5473-5478). [7249194] (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7249194
Mahmoodi, S. Eman ; Subbalakshmi, Koduvayur ; Sagar, Vidya. / Cloud offloading for multi-radio enabled mobile devices. 2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 5473-5478 (IEEE International Conference on Communications).
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Mahmoodi, SE, Subbalakshmi, K & Sagar, V 2015, Cloud offloading for multi-radio enabled mobile devices. in 2015 IEEE International Conference on Communications, ICC 2015., 7249194, IEEE International Conference on Communications, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 5473-5478, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 6/8/15. https://doi.org/10.1109/ICC.2015.7249194

Cloud offloading for multi-radio enabled mobile devices. / Mahmoodi, S. Eman; Subbalakshmi, Koduvayur; Sagar, Vidya.

2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 5473-5478 7249194 (IEEE International Conference on Communications; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Mahmoodi SE, Subbalakshmi K, Sagar V. Cloud offloading for multi-radio enabled mobile devices. In 2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 5473-5478. 7249194. (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2015.7249194