Mobile cloud computing; Wearable devices; Computation offloading
Abstract :
[en] Wearable devices are becoming increasingly popu- lar and are expected to become essential in our everyday life. De- spite continuous improvement of hardware, the lifetime of mobile devices and their capabilities still remain a concern. Small size of batteries of smart watches, glasses, helmets and gloves limits the amount of computing, storage and communication resources. Mobile cloud computing can augment the capabilities of wearable devices by helping to execute some of the computing tasks in the cloud. Such computational offloading helps to preserve battery power at the cost of more intensive communications with the cloud. In this paper, we present a model and comprehensive analysis for computational offloading between wearable devices and clouds in realistic setups.
Disciplines :
Computer science
Author, co-author :
Ragona, Claudio
Fiandrino, Claudio ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Kliazovich, Dzmitry ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Granelli, Fabrizio
Bouvry, Pascal ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing
Publication date :
December 2015
Event name :
IEEE Global Communications Conference (GLOBECOM)
Event date :
December 2015
Audience :
International
Main work title :
IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, 2015
K. Tehrani and M. Andrew. (2014, Mar.) Wearable technology and wearable devices: Everything you need to know. [Online]. Available: http: //www. wearabledevices. com/what-is-a-wearable-device
F. Schlachter, "No Moore's law for batteries, " Proceedings of the National Academy of Sciences, vol. 110, no. 14, p. 5273, 2013.
K. Kumar, J. Liu, Y.-H. Lu, and B. Bhargava, "A survey of computation offloading for mobile systems, " Mobile Network Applications, vol. 18, no. 1, pp. 129-140, Feb. 2013.
N. Fernando, S. W. Loke, and W. Rahayu, "Mobile cloud computing: A survey, " Future Generation Computer Systems, vol. 29, no. 1, pp. 84-106, 2013.
C. Fiandrino, D. Kliazovich, P. Bouvry, and A. Zomaya, "Networkassisted offloading for mobile cloud applications, " in IEEE ICC, London, United Kingdom, Jun. 2015.
M. Segata, B. Bloessl, C. Sommer, and F. Dressler, "Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud, " in IEEE ICC, June 2014, pp. 2394-2399.
L. Xiang, S. Ye, Y. Feng, B. Li, and B. Li, "Ready, set, go: Coalesced offloading from mobile devices to the cloud, " in INFOCOM'14, 2014, pp. 2373-2381.
H. Wu and K. WoLTEr, "Tradeoff analysis for mobile cloud offloading based on an additive energy-performance metric, " in 8th International Conference VALUETOOLS, Feb 2015.
M. Barbera, S. Kosta, A. Mei, and J. Stefa, "To offload or not to offload? The bandwidth and energy costs of mobile cloud computing, " in Proceedings IEEE INFOCOM, April 2013, pp. 1285-1293.
K. Kumar and Y.-H. Lu, "Cloud computing for mobile users: Can offloading computation save energy?" Computer, vol. 43, no. 4, pp. 51-56, Apr. 2010.
The Bluetooth Special Interest Group (SIG) Inc. (2010, Jun.) Core version 4. 0.
R. LiKamWa, Z. Wang, A. Carroll, F. X. Lin, and L. Zhong, "Draining our glass: An energy and heat characterization of Google Glass, " CoRR, vol. abs/1404. 1320, 2014.
CEET, "The power of wireless cloud, " 2013, White Paper.
C. Fiandrino, D. Kliazovich, P. Bouvry, and A. Zomaya, "Performance and energy efficiency metrics for communication systems of cloud computing data centers, " IEEE Transactions on Cloud Computing, 2015.
G. P. Perrucci, F. H. P. Fitzek, and J. Widmer, "Survey on energy consumption entities on the smartphone platform, " in VTC Spring'11, 2011, pp. 1-6.
L. Ardito, G. Procaccianti, M. Torchiano, and G. Migliore, "Profiling power consumption on mobile devices, " in ENERGY: The Third International Conference on Smart Grids, 2013, pp. 102-106.
A. Carroll and G. Heiser, "The systems hacker's guide to the galaxy: Energy usage in a modern smartphone, " in Asia-Pacific Workshop on Systems (APSys). Singapore: ACM, July 2013, p. 7.
M. Y. Malik, "Power consumption analysis of a modern smartphone, " CoRR, vol. abs/1212. 1896, 2012.
A. Garcia-Saavedra, P. Serrano, A. Banchs, and G. Bianchi, "Energy consumption anatomy of 802. 11 devices and its implication on modeling and design, " in Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies, ser. CoNEXT '12. New York, NY, USA: ACM, 2012, pp. 169-180.
J. Huang, F. Qian, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck, "A close examination of performance and power characteristics of 4G LTE networks, " in MobiSys. ACM, 2012, pp. 225-238.
Verizon Enterprise Solutions. (2015) IP latency statistics.
T. Soyata, R. Muraleedharan, C. Funai, M. Kwon, and W. Heinzelman, "Cloud-vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture, " in IEEE ISCC, July 2012, pp. 59-66.
C. Fiandrino, D. Kliazovich, P. Bouvry, and A. Zomaya, "NC-CELL: Network coding-based content distribution in cellular networks for cloud applications, " in IEEE GLOBECOM, Dec 2014, pp. 1205-1210.