My broad area of research interest is the application of mathematical modelling techniques to real life systems. Specific areas of interest include, but are not limited to, modelling and optimisation in parallel queueing systems (especially split-merge and fork-join systems), modelling of storage systems, stochastic modelling of sport, stochastic modelling of healthcare systems, resource allocation and control in cloud-computing environments, numerical solution of (semi-)Markov models and specification techniques for SLA specification, compliance prediction and monitoring.
Harrison PG, Patel NM, Knottenbelt WJ, 2016, Energy--Performance Trade-Offs via the EP Queue, Acm Transactions on Modeling and Performance Evaluation of Computing Systems, Vol:1, ISSN:2376-3639, Pages:1-31
Kelly J, Knottenbelt WJ, 2016, Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature., Corr, Vol:abs/1605.00962
et al., 2016, Visualizing Dynamic Bitcoin Transaction Patterns, Big Data, Vol:4, ISSN:2167-6461, Pages:109-119
Tsimashenka I, Knottenbelt WJ, Harrison PG, 2016, Controlling variability in split-merge systems and its impact on performance, Annals of Operations Research, Vol:239, ISSN:0254-5330, Pages:569-588
Haughian G, Osman R, Knottenbelt WJ, 2016, Benchmarking Replication in Cassandra and MongoDB NoSQL Datastores, 27th International Conference on Database and Expert Systems Applications (DEXA), SPRINGER INT PUBLISHING AG, Pages:152-166, ISSN:0302-9743