Wang and Eun Explore Theoretical Foundation of Mobile Clouds
Dr. Wenye Wang and Dr. Do Young Eun have received $499,149 from the National Science Foundation (NSF) to explore fundamental issues that will advance our understanding of using mobile clouds in delivering wireless data traffic.
November 7, 2014 
NC State ECE
Dr. Wenye Wang
The number of smartphones in use worldwide reached 1.038 billion units during the third quarter of 2012, and smartphone users are expected to be over 2 billion by 2015. With the fast-growing popularity of tablets and smartphones, the sheer number and density of wireless devices has overwhelmed network resources to the point that it is difficult to support the level of quality expected by users. The idea of mobile cloud computing (MCC) has been recently introduced to facilitate mobile users to take full advantages of cloud computing, even with the reduced available network capacity.
Dr. Wenye Wang, professor of electrical and computer engineering, and Dr. Do Young Eun, associate professor of electrical and computer engineering, have received $499,149 from the National Science Foundation(NSF) to explore fundamental issues that will advance our understanding of using mobile clouds in delivering wireless data traffic.
Dr. Do Young Eun
Dr. Wang and Dr. Eun aim to find out whether and under what conditions mobile clouds are feasible for providing mobile application services or not and whether there exist theoretical limits or guidelines that can help or hinder the development of mobile clouds. An in-depth understanding of such questions would greatly help emerging new applications over mobile platform.
The focus of the research is on four inter-correlated, equally important issues related to the building blocks of a theoretical foundation for mobile cloud computing. These issues include the evolution of mobile cloudlets through one-hop communications to ensure short delay and easy management of task dispatch, the performance of opportunistic mobile cloudlets by harnessing the latest understanding of link-level dynamics, the efficient discovery of neighboring cloudlets using their spatial locations and other factors, and finding how long and how far it could take before data arrives at the cloud in a hybrid network model.
The award will run from October 1st, 2014 to September 30th, 2017.
