Autonomous electric mobility on demand (AEMoD) has recently emerged as a cyber-physical system aiming to bring automation, electrification, and on-demand services for the future private transportation market. The expected massive demand on such services and its resulting insufficient charging time/resources prohibit the use of centralized management and full vehicle charging. A fog-based multi-...

The large scale deployment of renewable generation is generally seen as the most promising option for displacing fossil fuel generators. A challenge in integrating renewable energy resources (RERs) for distribution networks is to find approaches that ensure the long term sustainability and economic profit of the Distribution Company (DisCo). In this paper, considering the air condition load dem...

Scientific and data-intensive applications often require exploratory analysis on large datasets, which is often carried out on large scale distributed resources where data locality is crucial to achieve high system throughput and performance. We propose a “data diffusion” approach that acquires resources for data analysis dynamically, schedules computations as close to data as possible, and rep...