Analytical Models for Evaluating Effectiveness of Compressed File Transfers in Mobile Computing

Armen Dzhagaryan, Aleksandar Milenković

Abstract

The importance of optimizing data transfers between mobile computing devices and the cloud is increasing with an exponential growth of mobile data traffic. Lossless data compression can be essential in increasing communication throughput, reducing communication latency, achieving energy-efficient communication, and making effective use of available storage. In this paper we introduce analytical models for estimating effective throughput and energy efficiency of uncompressed data transfers and compressed data transfers that utilize common compression utilities. The proposed analytical models are experimentally verified using state-of-the-art mobile devices. These models are instrumental in developing a framework for seamless optimization of data file transfers.

References

  1. Agababov, V., Buettner, M., Chudnovsky, V., Cogan, M., Greenstein, B., McDaniel, S., Piatek, M., Scott, C., Welsh, M., Yin, B., 2015. Flywheel: Google's Data Compression Proxy for the Mobile Web, in: Proceedings of the 12th USENIX Conference on Networked Systems Design and Implementation, NSDI'15. USENIX Association, Berkeley, CA, USA, pp. 367-380.
  2. Amazon, 2015. What Is Amazon Silk? - Amazon Silk [WWW Document]. URL http://docs.aws.amazon. com/silk/latest/developerguide/ (accessed 12.6.15).
  3. Barr, K., Asanovic, K., 2003. Energy aware lossless data compression, in: Proceedings of the 1st International Conference on Mobile Systems, Applications and Services (MobiSys'03). ACM Press, pp. 231-244. doi:10.1145/1066116.1066123.
  4. Barr, K.C., Asanovic, K., 2006. Energy-aware lossless data compression. ACM Trans. Comput. Syst. 24, 250- 291. doi:10.1145/1151690.1151692.
  5. CISCO, 2015. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update 2014-2019 White Paper.
  6. Dzhagaryan, A., Milenkovic, A., 2015. On Effectiveness of Lossless Compression in Transferring mHealth Data Files, in: 2015 IEEE 17th International Conference on E-Health Networking, Applications and Services (Healthcom). Presented at the 2015 IEEE 17th International Conference on e-Health Networking, Applications and Services (Healthcom), Boston, MA.
  7. Dzhagaryan, A., Milenkovic, A., Burtscher, M., 2015. Quantifying Benefits of Lossless Compression Utilities on Modern Smartphones, in: 2015 24th International Conference on Computer Communication and Networks (ICCCN). Presented at the 2015 24th International Conference on Computer Communication and Networks (ICCCN), Las Vegas, NV.
  8. Dzhagaryan, A., Milenkovic, A., Burtscher, M., 2013. Energy efficiency of lossless data compression on a mobile device: An experimental evaluation, in: Performance Analysis of Systems and Software (ISPASS), 2013 IEEE International Symposium on. Austin, TX, pp. 126-127. doi:10.1109/ISPASS.2013. 6557156.
  9. Dzhagaryan, A., Milenkovic, A., Milosevic, M., Jovanov, E., 2016. An Environment for Automated Measuring of Energy Consumed by Android Mobile Devices, in: 6st International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS). Lisbon, Portugal.
  10. Google, 2014a. Data Server - Google Chrome [WWW Document]. URL https://developer.chrome.com/ multidevice/data-compression (accessed 10.30.15).
  11. Google, 2014b. About Attachment Manager [WWW Document]. URL http://www.google.com/support/ enterprise/static/postini/docs/admin/en/admin_msd/att ach_overview.html (accessed 10.31.15).
  12. Google, 2014c. Nexus - Google [WWW Document]. URL http://www.google.com/intl/all/nexus (accessed 6.15.14).
  13. Onavo, 2015. Onavo [WWW Document]. Onavo. URL http://www.onavo.com (accessed 12.1.15).
  14. OnePlus, 2015. OnePlus One [WWW Document]. URL https://oneplus.net/one (accessed 7.12.15).
  15. Snappli, 2014. Snappli [WWW Document]. URL http://snappli.com/ (accessed 12.1.15).
  16. zlib, 2015. zlib Home Site [WWW Document]. URL http://www.zlib.net/ (accessed 12.16.15).
Download


Paper Citation


in Harvard Style

Dzhagaryan A. and Milenković A. (2016). Analytical Models for Evaluating Effectiveness of Compressed File Transfers in Mobile Computing . In Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PEC, (PECCS 2016) ISBN 978-989-758-195-3, pages 40-51. DOI: 10.5220/0005953700400051


in Bibtex Style

@conference{pec16,
author={Armen Dzhagaryan and Aleksandar Milenković},
title={Analytical Models for Evaluating Effectiveness of Compressed File Transfers in Mobile Computing},
booktitle={Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PEC, (PECCS 2016)},
year={2016},
pages={40-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005953700400051},
isbn={978-989-758-195-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PEC, (PECCS 2016)
TI - Analytical Models for Evaluating Effectiveness of Compressed File Transfers in Mobile Computing
SN - 978-989-758-195-3
AU - Dzhagaryan A.
AU - Milenković A.
PY - 2016
SP - 40
EP - 51
DO - 10.5220/0005953700400051