Concluded Projects

Industrial Automation as a Cloud Service

We are developing algorithms and systems to enable offering the whole stack of industrial automation systems from the cloud.

• Industrial Automation as a Cloud Service

Mobile Multimedia

We are designing algorithms to optimize video streaming in mobile wireless networks from different perspectives, including energy consumption of mobile receivers, quality of the videos delivered, and efficient utilization of the wireless bandwidth.

• Hybrid Multicast-Unicast Streaming over Mobile Networks

• Mobile TV Networks

• Multimedia Streaming over WiMAX Networks

Peer-to-Peer Content Distribution

We are exploring the applicability of the P2P paradigm to build cost-effective content distribution systems. Problems such as sender selection, adaptive object replication, and content caching are being studied. We are also developing models to analyze the new characteristics of the P2P traffic and the impact of these characteristics on the cache replacement policies and object replication strategies. Furthermore, we are devising analytic models to study the dynamics of the P2P system capacity and the impact of various parameters on it.

• pCDN: Peer-assisted Content Distribution Network

• Modeling and Caching of P2P Traffic

• Scalable Multimedia Streaming

Online Networked Games

We are designing various algorithms to improve the performance of online games.

• Minimizing Round-Trip Time in Online Games

• Minimizing Energy Consumption for Online Games on Mobile Phones

Network Security

We are exploring network monitoring techniques to detect and thwart intrusion and denial-of-service attacks in their early stages by observing unusual traffic patterns injected by such attacks. We are studying the security of multimedia streaming systems that employ multi-layer and fine-grain scalable video streams.

• Security of Scalable Multimedia Streams

• Security of the SIP protocol

• Detecting DoS Attacks and Service Violations in QoS-enabled Networks

Wireless Sensor Networks

We are developing coverage and connectivity maintenance protocols that consider probabilistic (i.e., more realistic) sensing and communication models. We are also designing protocols that provide controllable degrees of coverage (k-coverage).

• Probabilistic Coverage and Connectivity

• K-Coverage and its Application to Forest Fire Detection