The increasing popularity of using mobile devices in a work context, has led to the need to be able to support more powerful computation. Users no longer remain in an office or at home to conduct their activities, preferring libraries and cafes. In this paper, we consider a mobile cloud computing scenario in which users bring their own mobile devices and are offered a variety of equipment, e.g., desktop computer, smartTV, or projector, to migrate their applications to, so as to save battery life, improve usability and performance. We formulate a stochastic optimization problem to optimize the allocation of user applications to equipment despite future uncertainties. Furthermore, we extend the scenario to consider multiple locations and geographic migration. The performance evaluation shows the superior benefit, e.g., higher profit, compared with a baseline algorithm.