Adaptive Networks


Service Management

Within the area of Adaptive Networks we also consider service networks, and how these services and service groups can adapt to changing network conditions. In particular we investigate biologically inspired approaches to allow services autonomously self-govern, with minimal human intervention. The solution that has been investigated models each individual service as a biological entity. Therefore, similar to a biological organism, each service is able to migrate, replicate, manage its own energy, and die. This is similar to behaviours found in typical biological organisms, which consume food to maintain energy while performing work. In the event that the current habitat becomes harsh, the organisms would migrate to a new environment, and reproduce or replicate to create new colonies. Our adaptive service approach embeds these different mechanisms and behaviours into the services to allow these service entities live autonomously in an environment. Similar to some organisms, these adaptive services can also emit a gradient field in order to attract service requests, which enables a service to be efficiently discovered in a peer to peer service environment. Another important facet of biological organisms is the ability to form communities. In each community, the organisms are able to co-exist with other organisms in a symbiosis, by supporting and collaborating as a group. Through the use of this community concept, we have shown that distributed service composition can be carried out more efficient.

Members

Dr. Ray Carroll, Chris Foley

Recent Publications

Sasitharan Balasubramaniam and Jussi Kangasharju. Challenges and Requirements towards Realizing Internet of Nano Things. IEEE Computer, to appear, –:–, 2013.

Raymond Carroll, Sasitharan Balasubramaniam, Willie Donnelly, and Dmitri Botvich. Application of genetic algorithm to maximise clean energy usage for data centres. International Journal of Autonomous and Adaptive Communications Systems, –:–, 2012.

Raymond Carroll, Sasitharan Balasubramaniam, Junichi Suzuki, Chonho Lee, Willie Donnelly, and Dmitri Botvich. Bio-inspired service management framework: Green data-centres case study. International Journal of Grid and Utility Computing, –:–, 2012.

Julien Mineraud, Sasitharan Balasubramaniam, Jussi Kangasharju, and Willie Donnelly. fs-pgbr: A scalable and delay sensitive cloud routing protocol. In Proc. ACM SIGCOMM 2012, 2012. accepted.

Dung Phan, Junichi Suzuki, Raymond Carroll, Sasitharan Balasubramaniam, Willie Donnelly, and Dmitri Botvich. Evolutionary Multiobjective Optimization for Green Clouds. In Proc. ACM Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, PA, 2012.

Michael Taynnan Barros, Reinaldo Gomes, Anderson Costa, and Runxin Wang. Evaluation of Performance and Scalability of Routing Protocols for VANETs on the Manhattan Mobility Model. In 8th IEEE International Workshop on Performance and Management of Wireless and Mobile Networks, 2012 (P2MNET 2012), in conjuction with IEEE Local Computer Networks (LCN), pages 686–693, Clearwater, Florida, USA, October 2012.

Michael Taynnan Barros, Reinaldo Gomes, and Anderson Costa. Dynamic Ad-Hoc Networks, chapter VANET Dynamic Routing Protocols: Solutions, evaluation and challenges. IET (The institution of Engineering and Technology), 2013.