Dynamic Mobile Cloud Computing: Ad Hoc and Opportunistic Job Sharing
- 1 December 2011
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 281-286
- https://doi.org/10.1109/ucc.2011.45
Abstract
Despite increasing usage of mobile computing, exploiting its full potential is difficult due to problems such as resource sparseness. In this paper, we explore the feasibility of a mobile cloud computing framework to use local resources to solve these problems. The framework aims to determine a priori the usefulness of sharing workload at runtime. The results of experiments conducted in Bluetooth transmission and an initial prototype are also presented. Furthermore, we discuss a preliminary analytical model to determine whether or not a speedup will be possible in offloading.Keywords
This publication has 17 references indexed in Scilit:
- VOLAREPublished by Association for Computing Machinery (ACM) ,2010
- A Conceptual Framework for Provisioning Context-aware Mobile Cloud ServicesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?Computer, 2010
- Scavenger: Transparent development of efficient cyber foraging applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Using Wi-Fi to save energy via P2P remote executionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- The Case for VM-Based Cloudlets in Mobile ComputingIEEE Pervasive Computing, 2009
- From Augmented Reality to Augmented Computing: A Look at Cloud-Mobile ConvergencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Update: WiFi takes on BluetoothIEEE Spectrum, 2008
- Scheduling multithreaded computations by work stealingJournal of the ACM, 1999
- Fundamental challenges in mobile computingPublished by Association for Computing Machinery (ACM) ,1996