Integrating mobile and cloud resources management using the cloud personal assistant
O'Sullivan, Michael J.
The mobile cloud computing model promises to address the resource limitations of mobile devices, but effectively implementing this model is difficult. Previous work on mobile cloud computing has required the user to have a continuous, high-quality connection to the cloud infrastructure. This is undesirable and possibly infeasible, as the energy required on the mobile device to maintain a connection, and transfer sizeable amounts of data is large; the bandwidth tends to be quite variable, and low on cellular networks. The cloud deployment itself needs to efficiently allocate scalable resources to the user as well. In this paper, we formulate the best practices for efficiently managing the resources required for the mobile cloud model, namely energy, bandwidth and cloud computing resources. These practices can be realised with our mobile cloud middleware project, featuring the Cloud Personal Assistant (CPA). We compare this with the other approaches in the area, to highlight the importance of minimising the usage of these resources, and therefore ensure successful adoption of the model by end users. Based on results from experiments performed with mobile devices, we develop a no-overhead decision model for task and data offloading to the CPA of a user, which provides efficient management of mobile cloud resources.
Mobile , Cloud , Resources , Management , Model
O’SULLIVAN, M. J. & GRIGORAS, D. 2015. Integrating mobile and cloud resources management using the cloud personal assistant. Simulation Modelling Practice and Theory, 50, 20-41. doi:10.1016/j.simpat.2014.06.017
Copyright © 2015 Elsevier Inc. All rights reserved. NOTICE: this is the author’s version of a work that was accepted for publication in Simulation Modelling Practice and Theory. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Simulation Modelling Practice and Theory [Volume 50, January 2015, Pages 20–41] http://dx.doi.org/10.1016/j.simpat.2014.06.017