William Knottenbelt
William Knottenbelt
Professor of Applied Quantitative Analysis, Department of Computing, Imperial College London
Verified email at doc.ic.ac.uk - Homepage
Cited by
Cited by
The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes
J Kelly, W Knottenbelt
Scientific data 2 (1), 1-14, 2015
Neural nilm: Deep neural networks applied to energy disaggregation
J Kelly, W Knottenbelt
Proceedings of the 2nd ACM international conference on embedded systems for …, 2015
NILMTK: An open source toolkit for non-intrusive load monitoring
N Batra, J Kelly, O Parson, H Dutta, W Knottenbelt, A Rogers, A Singh, ...
Proceedings of the 5th international conference on Future energy systems …, 2014
PIPE2: a tool for the performance evaluation of generalised stochastic Petri Nets
NJ Dingle, WJ Knottenbelt, T Suto
ACM SIGMETRICS Performance Evaluation Review 36 (4), 34-39, 2009
PIPE v2. 5: A Petri net tool for performance modelling
P Bonet, CM Lladó, R Puijaner, WJ Knottenbelt
Proc. 23rd Latin American Conference on Informatics (CLEI 2007), 2007
Generalised Markovian analysis of timed transition systems
WJ Knottenbelt
university of cape town, 1996
Passage time distributions in large Markov chains
PG Harrison, WJ Knottenbelt
Proceedings of the 2002 ACM SIGMETRICS international conference on …, 2002
Distributed disk-based solution techniques for large Markov models
WJ Knottenbelt, PG Harrison
Proceedings of the 3rd International Meeting on the Numerical Solution of …, 1999
Visualizing dynamic bitcoin transaction patterns
D McGinn, D Birch, D Akroyd, M Molina-Solana, Y Guo, WJ Knottenbelt
Big data 4 (2), 109-119, 2016
Parallel multilevel algorithms for hypergraph partitioning
A Trifunović, WJ Knottenbelt
Journal of Parallel and Distributed Computing 68 (5), 563-581, 2008
Parkway 2.0: A Parallel Multilevel Hypergraph Partitioning Tool
A Trifunovic, WJ Knottenbelt
International Symposium on Computer and Information Sciences, 789-800, 2004
Derivation of passage-time densities in PEPA models using IPC: The Imperial PEPA Compiler
JT Bradley, NJ Dingle, ST Gilmore, WJ Knottenbelt
11th IEEE/ACM International Symposium on Modeling, Analysis and Simulation …, 2003
Parallel performance analysis of large Markov models
WJ Knottenbelt
Dataport and NILMTK: A building data set designed for non-intrusive load monitoring
O Parson, G Fisher, A Hersey, N Batra, J Kelly, A Singh, W Knottenbelt, ...
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015
A wild velvet fork appears! inclusive blockchain protocol changes in practice
A Zamyatin, N Stifter, A Judmayer, P Schindler, E Weippl, WJ Knottenbelt
International Conference on Financial Cryptography and Data Security, 31-42, 2018
Response time approximations in fork-join queues
A Lebrecht, W Knottenbelt
Uniformization and hypergraph partitioning for the distributed computation of response time densities in very large Markov models
NJ Dingle, PG Harrison, WJ Knottenbelt
Journal of parallel and distributed computing 64 (8), 908-920, 2004
Performance evaluation of NoSQL databases
A Gandini, M Gribaudo, WJ Knottenbelt, R Osman, P Piazzolla
European Workshop on Performance Engineering, 16-29, 2014
Cloudscope: Diagnosing and managing performance interference in multi-tenant clouds
X Chen, L Rupprecht, R Osman, P Pietzuch, F Franciosi, W Knottenbelt
2015 IEEE 23rd international symposium on modeling, analysis, and simulation …, 2015
Towards safer smart contracts: A survey of languages and verification methods
D Harz, W Knottenbelt
arXiv preprint arXiv:1809.09805, 2018
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