Research Themes

Fog computing places computing and storage resources at the network edge where data is generated. This allows data to be analyzed quickly in order to support timely decision making such that stringent realtime requirements of IoT applications are satisfied and reduces the amount of data transferred to a core cloud data center. The use of fog computing along with core cloud data centers results in a complex ecosystem of technologies, which we will refer to as the fog-cloud platform. Our research focuses on resource management techniqus to ensure that IoT applications have the computing resources needed.

Sensors can be used to measure physical properties physical objects and communicate these measurements to other physical objects or to software services hosted on a computing platform. Sensor data may be used by distinct applications. Our research focuses on building the infrastructure needed to facilitate that sharing.

Policies enable management systems to specify management strategies that are interpreted at run-time by management systems. This allows for changes in management strategies. Our research focuses in facilitating the use of policies in management systems.

We are developing algorithms to make operations cities more efficient. For example, we are investigating automatic ways to recover from power outages