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.
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
Harrison PG, Patel NM, Knottenbelt, 2016, Energy–performance trade-offs via the EP-queue, Acm Transactions On Modeling and Performance Evaluation of Computing Systems, Vol:1, ISSN:2376-3647
et al., 2016, Visualizing Dynamic Bitcoin Transaction Patterns, Big Data, Vol:4, ISSN:2167-6461, Pages:109-119
Kelly J, Knottenbelt WJ, 2016, Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature., Corr, Vol:abs/1605.00962
Pesu T, Knottenbelt WJ, 2015, Dynamic Subtask Dispersion Reduction in Heterogeneous Parallel Queueing Systems, Electronic Notes In Theoretical Computer Science, Vol:318, ISSN:1571-0661, Pages:129-142