An autonomic resource provisioning framework for mobile computing grids

Enabling data- and compute-intensive applications that require real-time in-the-field data collection and processing using mobile platforms is still a significant challenge due to i) the insufficient computing capabilities and unavailability of complete data on individual mobile devices and ii) the prohibitive communication cost and response time involved in offloading data to remote computing resources such as clouds for centralized computation. A novel resource provisioning framework is proposed for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool (a heterogeneous mobile computing grid) that can be harnessed to collectively process massive amounts of locally generated data in parallel. The proposed framework is imparted with autonomic capabilities, namely, self-optimization and self-organization, in order to be energy and uncertainty aware, respectively, in the dynamic mobile environment.