Optimization of Energy Consumption in the Mobile Cloud Systems = Optimization of Energy Consumption in the Mobile Cloud Systems

다국어 초록 (Multilingual Abstract)

We investigate the optimization of energy consumption in Mobile Cloud environment in this paper. In order to optimize the energy consumed by the CPUs in mobile devices, we put forward using the asymptotic time complexity (ATC) method to distinguish the computational complexities of the applications when they are executed in mobile devices. We propose a multi-scale scheme to quantize the channel gain and provide an improved dynamic transmission scheduling algorithm when offloading the applications to the cloud center, which has been proved to be helpful for reducing the mobile devices energy consumption. We give the energy estimation methods in both mobile execution model and cloud execution model. The numerical results suggest that energy consumed by the mobile devices can be remarkably saved with our proposed multi-scale scheme. Moreover, the results can be used as a guideline for the mobile devices to choose whether executing the application locally or offloading it to the cloud center.

참고문헌 (Reference)

1 B. Ahmed, "Simulation of 20 GHz Narrow Band Mobile Propagation Data Using N-States Markov Channel Modeling Approach" 2 : 48-53, 1997

2 P. B. Si, "QoS-aware dynamic resource management in heterogeneous mobile cloud computing networks" 11 (11): 144-159, 2014

3 T. Burd, "Processor design for portable systems" 13 (13): 203-222, 1996

4 B. Liu, "Performance analysis of embedded speech recognition system" 29 (29): 52-55, 2008

5 E. Uysal, "On Adaptive transmission for energy-efficiency in wireless data networks" 50 (50): 3081-3094, 2004

6 R. Kumer, "Mobile Cloud Computing: Standard Approach to Protecting and Securing of Mobile Cloud Ecosystems" 663-669, 2013

7 Z. F. Murtaza, "Minimum Energy Transmission over a Wireless Fading Channel with Packet Deadlines" 1148-1155, 2007

8 Y. Chen, "Fundamental trade-offs on green wireless networks" 49 (49): 30-37, 2011

9 P. Rong, "Extending the lifetime of a Network of battery-powered mobile devices by remote processing: a Markova decision-based approach" 906-911, 2003

10 M. Zorzi, "Error statistics in data transmission over fading channels" 46 (46): 1468-1477, 1998

11 Y. W. Choi, "Energy-optimal distributed algorithms for minimum spanning trees" 27 (27): 1297-1304, 2009

12 W. H. Yuan, "Energy-efficient soft real-time CPU scheduling for mobile multimedia applications" 24 (24): 292-331, 2003

13 J. Lee, "Energy-efficient scheduling of delay constrained traffic over fading channels" 8 (8): 1866-1875, 2009

14 W. W. Zhang, "Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel" 12 (12): 4569-4581, 2013

15 M. Rahman, "Energy saving in mobile cloud computing" 285-291, 2013

16 A. P. Miettinen, "Energy efficiency of mobile clients in cloud computing"

17 M. Yang, "Energy Minimization via Dynamic Voltage Scaling for Real-Time Video Encoding on Mobile Devices" 2026-2031, 2012

18 Z. Jiang, "Energy Delay Tradeoff in Cloud Offloading for Multi-Core Mobile Devices" 3 : 2306-2316, 2015

19 Z. Jiang, "Energy Delay Trade-Off in Cloud Offloading for Mutli-Core Mobile Devices" 1-6, 2015

20 S. Moshe, "Dynamic Programming: Foundations and Principles" CRC Press Inc 2010

21 J. M. Rabaey, "Digital Integrated Circuits" Prentice Hall 1996

22 S. Barbarossa, "Computation Offloading Strategies based on Energy Minimization under Computational Rate Constraints" 1-5, 2014

23 R. A. Berry, "Communication over fading channels with delay constraints" 48 (48): 1135-1149, 2002

24 K. Kumar, "Cloud computing for mobile users : can offloading computation save energy?" 43 (43): 51-56, 2010

25 W. Lee, "Analyzing Extent and Influence of Mobile Device’s Participation in Mobile Cloud Computing" 767-772, 2013

26 Q. Li, "An embedded software power model on algorithm complexity using back-propagation neural networks" 454-459, 2010

27 Clifford A. Shaffer, "A practical introduction to data structures and algorithm analysis, Edition 3.2 (C++ Version)" Blacksburg 2011

28 H. C. Yang, "A hierarchical Markov model for wireless shadowed fading channels" 2 : 640-644, 2002

29 D. Dev, "A Review and Research Towards Mobile Cloud Computing" 252-256, 2014

30 Z. H. Guo, "A Crosslayer Design with power control and AMC for Sub-band Based OFDM System" 1-6, 2006