GPC 2012: Advances in Grid and Pervasive Computing pp 172-182 | Cite as
Design and Evaluation of Mobile Applications with Full and Partial Offloadings
Abstract
Mobile devices are widely accepted as a convergence machine providing both software functionality and cell phone capability. However, they have limited resources such as memory, processing power, and battery. Consequently, complex applications could not be deployed on the devices. An effective solution is to offload some functionality to more powerful servers and to run then on the servers, to yield improved performance and low resource consumption. In this paper, we propose a systematic process for designing mobile applications with full and partial offloading. And, we present schemes to quantitatively evaluate the resulting architecture. Using the proposed architecture design and evaluation methods, mobile applications with loading can be more systematically developed.
Keywords
Mobile App Offloading Architecture Quality Evaluation MetricsPreview
Unable to display preview. Download preview PDF.
References
- 1.König-Ries, B., Jena, F.: Challenges in Mobile Application Development. IT-Information Technology 52(2), 69–71 (2009)CrossRefGoogle Scholar
- 2.Chen, G., Kang, B., Kandemir, M.: Studying Energy Trade Offs in Offloading Computation/Compilation in Java-Enabled Mobile Devices. Proceedings of IDDD Transaction on Distributed a Systems 15(9), 795–809 (2004)CrossRefGoogle Scholar
- 3.Chen, X., Lyu, M.: Performance and Effectiveness Analysis of Check pointing in Mobile Environments. In: Proceeding of 22nd IEEE International Symposium on Reliable Distributed System (2003)Google Scholar
- 4.Abukamil, A., Helal, A.: Energy Management for Mobile Devices through Computation Outsourcing within Pervasive Smart Spaces. IEEE Transactions on Mobile Computing (2007) (submitted) Google Scholar
- 5.Taylor, R.N., Medvidovic, N., Dashofy, E.M.: Software Architecture: Foundations, Theory, and Practice. Wiley (2010)Google Scholar
- 6.Chun, B., Maniatis, P.: Dynamically partitioning applications between weak devices and clouds. In: Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, San Francisco, CA, USA (2010)Google Scholar
- 7.Crk, I., Gniady, C.: Understanding Energy Consumption of Sensor Enabled Applications on Mobile Phones. In: IEEE Annual International Conference of the IEEE, Minneapolis, MN (2009)Google Scholar
- 8.Rao, K., Reddy, K., Rafi, S.K., Rao, T.: Effectiveness Analysis of Offloading Systems Operating in Mobile Wireless Environment. International Journal of Engineering Science and Technology 2(7), 3078–3086 (2010)Google Scholar
- 9.Kumar, K., Lu, Y.: Cloud Computing for Mobile Users:Can Offloading Computation Save Energy? IEEE Computer (March 2010)Google Scholar
- 10.Yang, K., Ou, S., Chen, H.H.: On Effective Offloading Services for Resource-Constrained Mobile Devices Running Heavier Mobile Internet Applications. IEEE Communications Magazine 46(1) (2008)Google Scholar
- 11.Mahadevan, S.: Performance Analysis of offloading application-layer tasks to network processors. Master’s Thesis, University of Massachusetts at Amherst (September 2007)Google Scholar
- 12.Huerta-Canepa, G., Lee, D.: An Adaptable Application Offloading Scheme Based on Application Behavior. In: 22nd International Conference on Advanced Information Networking and Applications, Japan, Okinawa (March 2008)Google Scholar
- 13.Cuervo, E., Balasubramanian, A., Cho, D., Wolman, A., Saroiu, S., Chandra, R., Bahl, P.: MAUI: Making smartphones last longer with code offloaded. In: ACM MobiSys 2010, San Francisco, CA, USA (June 2010)Google Scholar