Anthony Potter

Learn More
Web-scale RDF datasets are increasingly processed using distributed RDF data stores built on top of a cluster of shared-nothing servers. Such systems critically rely on their data partitioning scheme and query answering scheme, the goal of which is to facilitate correct and efficient query processing. Existing data partitioning schemes are commonly based on(More)
Evaluating joins over RDF data stored in a shared-nothing server cluster is key to processing truly large RDF datasets. To the best of our knowledge, the existing approaches use a variant of the data exchange operator that is inserted into the query plan statically (i.e., at query compile time) to shuffle data between servers. We argue that such approaches(More)
Application stress testing applies the concept of computer network penetration testing to software applications. Since software applications may be attacked - from inside or outside a protected network boundary - they are threatened by actions and conditions which cause delays, disruptions, or failures. Stress testing exposes software systems to simulated(More)
Foreword The 2014 Department of Computer Science Student Conference was held on the 13th June in the department. This year we had a very decent number of submissions with 19 abstracts and 9 posters submitted. What is particularly encouraging, the 12 abstracts that were accepted represented research from across the departments research themes. The conference(More)
Graph querying and pattern matching is becoming an important feature of graph processing as it allows data analysts to easily collect and understand information about their graphs in a way similar to SQL for databases. One of the key challenges in graph pattern matching is to process increasingly large graphs that often do not fit in the memory of a single(More)
  • 1