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Energy-efficient and cost-effective web API invocations with transfer size reduction for mobile mashup applications

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Abstract

Recently, the proliferation of smartphones and the extensive coverage of wireless networks have enabled numerous mobile users to access Web resources with smartphones. Mobile mashup applications are very attractive to smartphone users due to specialized services and user-friendly GUIs. However, to offer new services through the integration of Web resources via Web API invocations, mobile mashup applications suffer from high energy consumption and long response time. In this paper, we propose a proxy system and two techniques to reduce the size of data transfer, thereby enabling mobile mashup applications to achieve energy-efficient and cost-effective Web API invocations. Specifically, we design an API query language that allows mobile mashup applications to readily specify and obtain desired information by instructing a proxy to filter unnecessary information returned from Web API servers. We also devise an image multi-get module, which results in mobile mashup applications with smaller transfer sizes by combining multiple images and adjusting the quality, scale, or resolution of the images. With the proposed proxy and techniques, a mobile mashup application can rapidly retrieve Web resources via Web API invocations with lower energy consumption due to a smaller number of HTTP requests and responses as well as smaller response bodies. Experimental results show that the proposed proxy system and techniques significantly reduce transfer size, response time, and energy consumption of mobile mashup applications.

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  1. http://www.wireshark.com

  2. Monsoon Power Monitor, http://www.msoon.com/.

References

  1. Amazon. Amazon Silk. http://amazonsilk.wordpress.com/.

  2. Carroll, A., & Heiser, G. (2010). An analysis of power consumption in a smartphone. In Proceedings of the USENIX conference on USENIX annual technical conference.

  3. Chava, S., Ennaji, R., Chen, J., & Subramanian, L. (2012). Cost-aware mobile web browsing. IEEE Perversive Computing 11(3), 34–42.

    Article  Google Scholar 

  4. Dogar, F. R., Steenkiste, P., & Papagiannaki, K. (2010). Catnap: Exploiting high bandwidth wireless interfaces to save energy for mobile devices. In Proceedings of the 8th ACM international conference on mobile systems, applications, and services, pp. 107–122.

  5. Falaki, H., Lymberopoulos, D., Mahajan, R., Kandula, S., & Estrin, D. (2010). A first look at traffic on smartphones. In Proceedings of the 10th ACM international conference on internet measurement, pp. 281–287.

  6. Falaki, H., Mahajan, R., Kandula, D., Lymberopoulos, R., Govindan, & Estrin, D. (2010). Diversity in smartphone usage. In Proceedings of the 8th ACM international conference on mobile systems, applications, and services, pp. 179–194.

  7. Google. SPDY: An experimental protocol for a faster web. http://www.chromium.org/spdy/spdy-whitepaper.

  8. Han, H., Liu, Y., Shen, G., Zhang, Y., & Li, Q. (2012). DozyAP: Power-efficient Wi-Fi Tethering. In Proceedings of the 10th international conference on mobile systems, applications, and services, pp. 421–434.

  9. Han, R., Bhagwat, P., Lamaire, R., Mummert, T., Perret, V., & Rubas, J. (1998). Dynamic adaptation in an image transcoding Proxy for mobile web browsing. IEEE Personal Communications 5(6), 8–17.

    Article  Google Scholar 

  10. Housel, B. C., Samaras, G., & Lindquist, D. B. (1998). WebExpress: A client/intercept based system for optimizing web browsing in a wireless environment. Mobile Networks and Applications, 3(4), 419–431.

    Article  Google Scholar 

  11. Hsiu, P. -C., Lin, C. -H., & Hsieh, C. -K. (2011). Dynamic backlight scaling optimization for mobile streaming applications. In Proceedings of the 17th IEEE/ACM international symposium on low-power electronics and design, pp. 309–314.

  12. Huang, J., Xu, Q., Tiwana, B., Mao, Z. M., Zhang, M., & Bahl, P. (2010). Anatomizing application performance differences on smartphones. In Proceedings of the 8th ACM international conference on mobile systems, applications, and services, pp. 165–178.

  13. Kohavi, R., Henne, R. M., & Sommerfield, D. (2007). Practical guide to controlled experiments on the web: Listen to your customers not to the Hippo. In Proceedings of the 13th ACM international conference on knowledge discovery and data mining, pp. 959–967.

  14. NetMarketShare. http://www.netmarketshare.com/report.aspx?qprid=61&sample=37.

  15. Opera. Opera Mini & Opera Mobile. http://www.opera.com/mobile/specs/.

  16. Pathak, A., Hu, Y. C., & Zhang, M. (2012). Where is the energy spent inside my app? Fine grained energy accounting on smartphones with Eprof. In Proceedings of the 7th ACM European conference on computer systems, pp. 29–42.

  17. Pathak, A., Jindal, A., Hu, Y. C., & Midkiff, S. P. (2012). What is keeping my phone awake? Characterizing and detecting no-sleep energy bugs in smartphone apps. In Proceedings of the 10th ACM international conference on mobile systems, applications, and services, pp. 267–280.

  18. Qian, F., Quah, K. S., Huang, J., Erman, J., Gerber, A., Mao, Z., Sen, S., & Spatscheck, O. (2012). Web caching on smartphones: ideal vs. reality. In Proceedings of the 10th international conference on mobile systems, applications, and services, pp. 127–140.

  19. Shye, A., Scholbrock, B., & Memik, G. Into the Wild: Studying real user activity patterns to guide power optimizations for mobile architectures. In Proceedings of the 42nd IEEE/ACM international symposium on microarchitecture, pp. 168–178, December.

  20. Yu, J., Benatallah, B., Casati, F., & Daniel, F. (2008). Understanding mashup development. IEEE Internet Computing, 12(5), 44–52.

    Article  Google Scholar 

  21. Zhao, B., Tak, B. C., & Cao, G. (2011). Reducing the delay and power consumption of web browsing on Smartphones in 3G networks. In Proceedings of the IEEE international conference on distributed computing systems, pp. 413–422.

  22. Zhong, L., & Jha, N. K. (2005). Energy efficiency of handheld computer interfaces: Limits, characterization and practice. In Proceedings of the 3rd ACM international conference on mobile systems, applications, and services, pp. 247–260.

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Acknowledgments

This work was supported by the National Science Council of Taiwan, ROC, under contracts 99-2221-E-009-140-MY2, 99-2219-E-002-029 and 101-2221-E-009-133.

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Authors and Affiliations

  1. Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC

    Chen-Che Huang, Jiun-Long Huang, Chin-Liang Tsai, Guan-Zhong Wu & Chia-Min Chen

  2. Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA

    Wang-Chien Lee

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  1. Chen-Che Huang
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  2. Jiun-Long Huang
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  3. Chin-Liang Tsai
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  4. Guan-Zhong Wu
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Correspondence to Jiun-Long Huang.

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Huang, CC., Huang, JL., Tsai, CL. et al. Energy-efficient and cost-effective web API invocations with transfer size reduction for mobile mashup applications. Wireless Netw 20, 361–378 (2014). https://doi.org/10.1007/s11276-013-0608-7

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