Abstract
Recent advances in computing and communication technologies enable the popularity of versatile mobile devices, which accounts for a substantial amount of energy use. The energy consumption has become of unprecedented importance, particularly in a cloud computing systems which provide ubiquitous services. Conventional designs of wireless networks mainly focus on spectral efficiency (SE) enhancing. Given the variety of media services in the cloud environment, a green computing network, which meets the quality of experience (QoE) requirements for users and also improves energy efficiency (EE), is the most appropriate solution. In this paper, we first propose the unit QoE per Watt, which is termed QoE efficiency (QEE), as a user-oriented metric to evaluate EE. Then, we investigate the fundamental tradeoffs between QEE and SE for typical ubiquitous services. Our analytical results are helpful for network design and optimization to access a flexible and desirable tradeoff between the QoE and energy conservation.
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References
Chen, Y., Zhang, S., Xu, S., et al.: Fundamental trade-offs on green wireless networks. IEEE Commun. Mag. 49(6), 30–37 (2011)
Lee, J., Song, J., Kim, H., et al.: A user-centered approach for ubiquitous service evaluation: an evaluation metrics focused on human-system interaction capability. In: 8th Asia-Pacific Conference on Computer-Human Interaction, pp. 21–29. IEEE Press, Seoul (2008)
Brooks, P., Hestnes, B.: User measures of quality of experience: why being objective and quantitative is important. IEEE Netw. Mag. 24(2), 8–13 (2010)
Bhattacharya, A., Wu, W., Yang, Z.: Quality of experience evaluation of voice communication: an affect-based approach. Human-centric Comput. Inf. Sci. 2(7), 1–18 (2012)
Viswanathanand, V., Krishnamurthi, I.: Finding relevant semantic association paths through user-specific intermediate entities. Human-centric Comput. Inf. Sci. 2(9), 2–11 (2012)
Liang, W.Y., Lai, P.T., Chiou, C.W.: An energy conservation DVFS algorithm for the android operating system. J. Convergence 1(1), 93–100 (2010)
Beloglazov, A., Abawajy, J., Buyya, R.: An energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Generation Comp. Syst. 32(28), 755–768 (2012)
Vakili, A., Grégoire, J.C.: Modelling the impact of the position of frame loss on transmitted video quality. J. Convergence 2(2), 43–48 (2011)
Xiong, C., Li, G.Y., Zhang, S.: Energy- and spectral-efficiency tradeoff in downlink OFDMA networks. IEEE Trans. Wireless Commun. 10(11), 3874–3886 (2011)
Wu, J., Mehta, N.B., Molisch, A.F., et al.: Unified spectral efficiency analysis of cellular systems with channel-aware schedulers. IEEE Trans. Wireless Commun. 59(12), 3463–3474 (2011)
Cheng, W., Zhang, X., Zhang, H.: On-demand based wireless resources trading for green communications. In: INFOCOM WKSHPS, pp. 283–288. IEEE Press, Shanghai (2011)
Thakolsri, S., Khan, S., Steinbach, E., et al.: QOE-driven cross-layer optimization for high speed downlink packet access. J. Commun. 4(9), 669–680 (2009)
Lee, J.W., Mazumdar, R.R. et al.: Non-convex optimization and rate control for multi-class services in the internet. IEEE Trans. Netw. 13(4), 827–840 (2005)
Acknowledgments
This research was supported by the National Basic Research Program of China (973 Program) under Grant 2012CB316005, National Key Technology R&D Program of China under Grant 2012ZX03004001, Graduate Innovation Fund of HUAXING CHUANGYE & SICE, BUPT, 2011, and the Program for New Century Excellent Talents in University (Grant No. NCET-11-0600).
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Zhang, Y., Liu, F., Peng, Y., Long, H., Wang, W. (2012). Fundamental Tradeoffs for Ubiquitous Wireless Service: A QoE, Energy and Spectral Perspective. In: Yeo, SS., Pan, Y., Lee, Y., Chang, H. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 203. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5699-1_97
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DOI: https://doi.org/10.1007/978-94-007-5699-1_97
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