Scheduling data communication based services on the personal mobile devices

Mobile devices have become more and more popular, and the services have grown in number and range. Ready access to the Internet is one of the characteristics of the mobile devices that deliver significant value for their users. However, the users are also concerned about costs and other factors related to this access. This paper describes a multi-objective model to optimally schedule a service on a mobile device that requires data communication with the external data repositories. These objectives are incomparable with each other and represent different personal and temporal needs and preferences. Thus, the objectives cannot be assigned unanimously accepted fixed weights to generate a single outcome metric. Pareto optimal solutions are used to provide the best option for determining efficient schedules.