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Towards the Use of Software Product Metrics as an Indicator for Measuring Mobile Applications Power Consumption

Authors: Ching Kin Keong, Koh Tieng Wei, Abdul Azim Abd. Ghani, Khaironi Yatim Sharif


Maintaining factory default battery endurance rate over time in supporting huge amount of running applications on energy-restricted mobile devices has created a new challenge for mobile applications developer. While delivering customers’ unlimited expectations, developers are barely aware of efficient use of energy from the application itself. Thus, developers need a set of valid energy consumption indicators in assisting them to develop energy saving applications. In this paper, we present a few software product metrics that can be used as an indicator to measure energy consumption of Android-based mobile applications in the early of design stage. In particular, Trepn Profiler (Power profiling tool for Qualcomm processor) has used to collect the data of mobile application power consumption, and then analyzed for the 23 software metrics in this preliminary study. The results show that McCabe cyclomatic complexity, number of parameters, nested block depth, number of methods, weighted methods per class, number of classes, total lines of code and method lines have direct relationship with power consumption of mobile application.

Keywords: Battery endurance, software metrics, mobile application, power consumption.

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[1] C. Sahin, F. Cayci, J. Clause, F. Kiamilev, L. Pollock, K. Winbladh. "Towards Power Reduction through Improved Software Design". In IEEE Energytech, pages 1 - 6, MAY 2012.
[2] S. Jha., Poorly written apps can sap 30 to 40% of a phone’s juice, June 2011. CEO, Motorola Mobility, Bank of America Merrill Lynch 2011 Technology Conference.
[3] Mark D. Syer et al., Revisiting Prior Empirical Findings For Mobile Apps: An Empirical Case Study on the 15 Most Popular Open-Source Android Apps, In proceeding of: Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research, 2013
[4] F.F Chen, J.G Schneider, Y. Yang, J. Grundy, Q. He. "An Energy Consumption Model and Analysis Tool for Cloud Computing Environments", in Proceedings of the 1st International Workshop on Green and Sustainable Software (GREENS'12), 2012, pp.45-50.
[5] H. Chen, B. Luo, W. Shi. "Anole: A Case for Energy-Aware Mobile Application Design", in Proceedings of the 41st International Conference on Parallel Processing Workshops (ICPPW'12), 2012, pp.232-238.
[6] Mark D. Syer, Meiyappan Nagappan, Ahmed E. Hassan, Bram Adams, Revisiting prior empirical findings for mobile apps: an empirical case study on the 15 most popular open-source Android apps, Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research, November 18-20, 2013, Ontario, Canada
[7] J. Bornholt, T. Mytkowicz, K. S. McKinley. The Model Is Not Enough: Understanding Energy Consumption in Mobile Devices", in Posters Session of Hot Chips: A Symposium on High Performance Chips (HC24), 2012.
[8] J. Flinn, M. Satyanarayanan. "Energy-aware Adaptation for Mobile Applications", in Proceedings of 17th ACM Symposium on Operating Systems Principles (SOSP'99), pp.48-63.
[9] L. Luo, W. Wu, D. Di, F. Zhang, Y. Z. Yan, Y. K. Mao. "A Resource Scheduling Algorithm of Cloud Computing based on Energy Efficient Optimization Methods", in Proceedings of the IEEE International Green Computing Conference (IGCC'12), 2012, pp.1-6.
[10] L. Zhang, B. Tiwana, Z. Qian, Z. Wang, R. P. Dick, Z. M. Mao, L. Yang. "Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones", in Proceedings of the 8th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS'10), 2010, pp.105-114.
[11] Young-Seol Lee; Sung-Bae Cho, "An Efficient Energy Management System for Android Phone Using Bayesian Networks," Distributed Computing Systems Workshops (ICDCSW), 2012 32nd International Conference on, vol., no., pp.102, 107, 18-21 June 2012.
[12] Donohoo, B. K.; Ohlsen, C.; Pasricha, S., "AURA: An application and user interaction aware middleware framework for energy optimization in mobile devices," Computer Design (ICCD), 2011 IEEE 29th International Conference on, vol., no., pp.168,174, 9-12 Oct. 2011
[13] N. Balasubramanian, A. Balasubramanian, A. Venkatramani. "Energy Consumption in Mobile Phones: A Measurement Study and Implications for Network Applications, in Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference (IMC'09), 2009, pp.280-293.
[14] O. Arnold, F. Ritchter, G. Fettweis, O. Blume. "Power Consumption Modelling of Different Base Station Types in Heterogeneous Cellular Networks", in the Proceedings of the Future Network and Mobile Summit (FNMS'10), 2010, pp.1-8.
[15] O. Silvén, K. Jyrkkä. "Observation on Power-Efficiency Trends in Mobile Communication Devices", LNCS 3553, 2005, pp.142-151.
[16] P. Bartalos, M. B. Blake. "Green Web Services: Modelling and Estimating Power Consumption of Web Services", in Proceedings of the IEEE 19th International Conference on Web Services (ICWS'12), 2012, pp.178-185.
[17] Jain, R.; Bose, J.; Arif, T., "Contextual adaptive user interface for Android devices," India Conference (INDICON), 2013 Annual IEEE, vol., no., pp.1,5, 13-15 Dec. 2013
[18] R. Yamini. "Power Management in Cloud Computing Using Green Algorithm", in Proceedings of the IEEE International Conference on Advances in Engineering, Science and Management (ICAESM'12), 2012, pp.128-133.
[19] Tan Kiat Wee, Rajesh Krishna Balan, Adaptive display power management for OLED displays, Proceedings of the first ACM international workshop on Mobile gaming, August 13-13, 2012, Helsinki, Finland
[20] R. Kraves, P. Krishnan. "Application-driven Power Management for Mobile Communication", Journal of Wireless Network, Vol.6 Issue 4, July 2000, pp.263-277.
[21] S. A. Ahson, M. llyas, "Cloud Computing and Software Services: Theory and Techniques", CRC Press, Boca Raton, Florida, 2011.
[22] S. Gűrűn, R. Wolski, T. Sherwood, C. Krints. "Modelling, Predicting and Reducing Energy Consumption in Resource Restricted Computers", PhD Dissertation in Computer Science, University of California, Santa Barbara, 2007.
[23] T. Do, S. Rawshdeh, W, Shi. "pTop: A Process-level power Profiling Tool", in Proceedings of the 2nd Workshop on Power Aware Computing and Systems(HotPower'09), 2009.
[24] T. Pering, Y. Agarwal, R. Want. "CoolSpots: Reducing the power Consumption of wireless Mobile Devices with multiple Radio Interfaces", in Proceedings of the 4th International Conference on Mobile Systems, Applications and Services (MobiSys'06), 2006 pp.220- 232.
[25] Y. Cui, X. Ma, H. Y. Wang, I. Stojmenonic, J. C.Liu. "A Survey of Energy Efficient Wireless Transmission and Modelling in Mobile Cloud Computing", Journal of Mobile Networks and Applications, Vol.18, Issue 1, Feb 2013, pp.148-155.
[26] Dongwon Kim; Nohyun Jung; Hojung Cha, "Content-centric display energy management for mobile devices," Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE, pp.1,6, 1-5 June 2014
[27] Pathania, A.; Qing Jiao; Prakash, A.; Mitra, T., "Integrated CPU-GPU power management for 3D mobile games," Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE, pp.1,6, 1-5 June 2014, doi: 10.1145/2593069.2593151
[28] Z.X. Liao, W.C. Peng, Y.C. Pan, P.R.Lei. “On Mining Mobile Apps Usage Behavior for Predicting Apps Usage in Smartphones”, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, October 2013.
[29] Kadjo, D.; Ogras, U.; Ayoub, R.; Kishinevsky, M.; Gratz, P., "Towards platform level power management in mobile systems," System-on-Chip Conference (SOCC), 2014 27th IEEE International, vol., no., pp.146,151, 2-5 Sept. 2014
[30] C. Brandolese, M.Politec. “Source-Level Estimation of Energy Consumption and Execution Time of Embedded Software”, Proceedings of the 11th EUROMICRO Conf. Digital System Design Architectures, Methods and Tools (DSD), pp. 115-123, 2008.
[31] Khairy, A.; Ammar, H.H.; Bahgat, R., "Smartphone Energizer: Extending Smartphone's battery life with smart offloading," Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International, vol., no., pp.329,336, 1-5 July 2013
[32] E. Harjula, O. Kassinen, M. Ylianttila. "Consumption Model for Mobile Devices in 3G and WLAN Networks", in Proceedings of the 9th IEEE Consumer Communication and Networking Conference (CCNC'12), 2012, pp.532-537.
[33] A. Papageorgiou, U. Lampe, D. Schuller, R. Steinmetz, A. Bamis. "Invoking Web Services based on Energy Consumption Models:, in Proceedings of the IEEE 1st International Conference on Mobile Services(ICMS'12), 2102, pp.40-47
[34] C. Thompson, D. Schmidt, H. Tumer, J. White. "Analyzing Mobile Application Software Power Consumption Via Model-driven Engineering", in Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems(PECCS'11), 2011, pp.101-113
[35] Yi-Wei Ma; Jiann-Liang Chen; Ching-Hesign Chou; Shyue-Kung Lu, "A Power Saving Mechanism for Multimedia Streaming Services in Cloud Computing," Systems Journal, IEEE, vol.8, no.1, pp.219,224, March 2014
[36] Nagata, K.; Yamaguchi, S.; Ogawa, H., "A Power Saving Method with Consideration of Performance in Android Terminals," Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on, vol., no., pp.578,585, 4-7 Sept. 2012
[37] Wen-Yew Liang; Ming-Feng Chang; Yen-Lin Chen; Chin-Feng Lai, "Energy efficient video decoding for the Android operating system," Consumer Electronics (ICCE), 2013 IEEE International Conference on, vol., no., pp.344,345, 11-14 Jan. 2013
[38] Gung-Yu Pan; Lai, B.-C.C.; Sheng-Yen Chen; Jing-Yang Jou, "A learning-on-cloud power management policy for smart devices," Computer-Aided Design (ICCAD), 2014 IEEE/ACM International Conference on, vol., no., pp.376,381, 2-6 Nov. 2014
[39] Deqian Kong; Tao Qi; Tan Yang; Yidong Cui, "A dynamic computation offloading framework for Android," Broadband Network & Multimedia Technology (IC-BNMT), 2013 5th IEEE International Conference on, vol., no., pp.134,138, 17-19 Nov. 2013