On the Performance Evaluation of a Novel Offloading-Based Energy Conservation Mechanism for Wireless Devices
Mobile Cloud computing paradigm includes plenty of critical challenges that have to be addressed for allowing application execution on remote terminals/servers. An integral part of mobile cloud computing reliable service provision is the establishment of a methodology that will guarantee the efficient execution of applications in an energy-efficient way. This work elaborates on the evaluation of a framework, which utilizes a cooperative partial process execution offloading scheme, aiming at offering energy conservation. The scheme uses a dynamic scheduling methodology in order to guarantee that no intermittent execution will occur on mobile devices. In addition, this work proposes a partial scheduling offloading algorithm for failure-aware resource allocation in an energy-efficient manner, associating temporal execution-oriented metrics. The proposed framework is thoroughly evaluated through event driven simulation experiments, towards defining the efficiency of the proposed offloading policy in contrast to the energy consumption of wireless devices, as well as for the reliability degree offered.
KeywordsMobile cloud Offloading methodology Reliability Dynamic resource migration Dependable mobile computing Temporal execution-oriented metrics
The work presented in this paper is co-funded by the European Union, Eurostars Programme, under the project 8111, DELTA “Network-Aware Delivery Clouds for User Centric Media Events”.
- 1.Mousicou, P., Mavromoustakis, C.X., Bourdena, A., Mastorakis, G., Pallis, E.: Performance evaluation of Dynamic Cloud Resource Migration based on Temporal and Capacity-aware policy for Efficient Resource sharing. In: 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2013), Barcelona, Spain (2013)Google Scholar
- 3.Dimitriou, C., Mavromoustakis, C.X., Mastorakis, G., Pallis, E.: On the performance response of delay-bounded energy-aware bandwidth allocation scheme in wireless networks. In: IEEE 2013 International Workshop on Immersive & Interactive Multimedia Communications over the Future Internet, organized in conjunction with IEEE International Communications Conference (ICC 2013), pp. 641–646, Budapest, Hungary (2013)Google Scholar
- 4.Miettinen, A.P., Nurminen, J.K.: Energy efficiency of mobile clients in cloud computing. In: 2nd USENIX Conference on Hot Topics in Cloud Computing. USENIX Association (2010)Google Scholar
- 7.Warneke, D., Kao, O.: Nephele: Efficient parallel data processing in the cloud. In: 2nd Workshop Many-Task Computing on Grids and Supercomputers, ACM, Portland, OR, USA (2009)Google Scholar
- 8.Chun, B., Ihm, S., Maniatis, P., Naik, M., Patti, A.: Clonecloud: Elastic execution between mobile device and cloud. In: 6th Conference on Computer systems of EuroSys (2011)Google Scholar
- 9.Chun, B.G., Maniatis, P.: Augmented smartphone applications through clone cloud execution. In: HotOS (2009)Google Scholar
- 10.Barbera, M.V., Kosta, S., Mei, A., Stefa, J.: To offload or not to offload? The bandwidth and energy costs of mobile cloud computing. Im: INFOCOM 2013, Turin, Italy (2013)Google Scholar
- 11.Cuervo, E., Balasubramanian, A., Cho, D., Wolman, A., Saroiu, S., Chandra, R., Bahl, P.: MAUI: making smartphones last longer with code offload. In: ACM International Conference on Mobile Systems, Applications, and Services, pp. 49–62, San Francisco, CA, USA (2010)Google Scholar
- 13.Vishwanath, V.K., Nagappan, N.: Characterizing cloud computing hardware reliability. In: 1st ACM Symposium on Cloud Computing, pp. 193–204 (2010)Google Scholar
- 15.Papanikolaou, K., Mavromoustakis, C.X.: Resource and scheduling management in Cloud Computing Application Paradigm. In: Mahmood, Z. (eds.) Cloud Computing: Methods and Practical Approaches, pp. 107–132. Springer International Publishing, Heidelberg (2013)Google Scholar
- 16.Carroll, A., Heiser, G.: An analysis of power consumption in a smartphone. In: 2010 USENIX, Boston, MA, USA (2010)Google Scholar
- 17.Mavromoustakis, C.X., Dimitriou, C.D., Mastorakis, G.: On the real-time evaluation of two-level BTD scheme for energy conservation in the presence of delay sensitive transmissions and intermittent connectivity in wireless devices. Int. J. Adv. Netw. Serv. 6(3&4), 148–162 (2013)Google Scholar