Outputs (4)

Semantic description of cloud service agreements (2015)
Presentation / Conference Contribution
Greenwell, R., Liu, X., & Chalmers, K. (2015). Semantic description of cloud service agreements. In Science and Information Conference (SAI), 2015 (823-831). https://doi.org/10.1109/sai.2015.7237239

To provide cloud services as a utility there must be a mechanism for comprehensively and precisely specifying cloud service agreements to reduce differences in service perception between customers and suppliers. This paper proposes a description... Read More about Semantic description of cloud service agreements.

Visual techniques to support exploratory analysis of temporal graph data. (2015)
Presentation / Conference Contribution
Kerracher, N., Kennedy, J., Chalmers, K., & Graham, M. (2016, May). Visual techniques to support exploratory analysis of temporal graph data. Presented at EuroVis '15

Recently, much research has focused on developing techniques for the visual representation of temporal graph data. This paper takes a wider look at the visual techniques involved in exploratory analysis of such data, considering the variety of sub ta... Read More about Visual techniques to support exploratory analysis of temporal graph data..

A Task Taxonomy for Temporal Graph Visualisation (2015)
Journal Article
Kerracher, N., Kennedy, J., & Chalmers, K. (2015). A Task Taxonomy for Temporal Graph Visualisation. IEEE Transactions on Visualization and Computer Graphics, 21(10), 1160-1172. https://doi.org/10.1109/tvcg.2015.2424889

By extending and instantiating an existing formal task framework, we define a task taxonomy and task design space for temporal graph visualisation. We discuss the process involved in their generation, and describe how the design space can be ‘sliced... Read More about A Task Taxonomy for Temporal Graph Visualisation.

Collaborative Diffusion on the GPU for Path-Finding in Games (2015)
Presentation / Conference Contribution
McMillan, C., Hart, E., & Chalmers, K. (2015). Collaborative Diffusion on the GPU for Path-Finding in Games. In A. M. Mora, & G. Squillero (Eds.), Applications of Evolutionary Computation; Lecture Notes in Computer Science (418-429). https://doi.org/10.10

Exploiting the powerful processing power available on the GPU in many machines, we investigate the performance of parallelised versions of pathfinding algorithms in typical game environments. We describe a parallel implementation of a collaborative d... Read More about Collaborative Diffusion on the GPU for Path-Finding in Games.