Amy Apon
Cited by
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Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations
V Gudivada, A Apon, J Ding
International Journal on Advances in Software 10 (1), 1-20, 2017
Automotive big data: Applications, workloads and infrastructures
A Luckow, K Kennedy, F Manhardt, E Djerekarov, B Vorster, A Apon
2015 IEEE International Conference on Big Data (Big Data), 1201-1210, 2015
Data Analytics for Intelligent Transportation Systems, 1st Edition
M Chowdhury, A Apon, K Dey
Elsevier, 2017
Performance considerations of network functions virtualization using containers
J Anderson, H Hu, U Agarwal, C Lowery, H Li, A Apon
2016 International Conference on Computing, Networking and Communications …, 2016
Accelerating SIFT on parallel architectures
S Warn, W Emeneker, J Cothren, A Apon
2009 IEEE International Conference on Cluster Computing and Workshops, 1-4, 2009
The KSR1: Experimentation and modeling of poststore
E Rosti, E Smirni, TD Wagner, AW Apon, LW Dowdy
Proceedings of the 1993 ACM SIGMETRICS conference on Measurement and …, 1993
Synthetic data generation for the internet of things
JW Anderson, KE Kennedy, LB Ngo, A Luckow, AW Apon
2014 IEEE International Conference on Big Data (Big Data), 171-176, 2014
A distributed message delivery infrastructure for connected vehicle technology applications
Y Du, M Chowdhury, M Rahman, K Dey, A Apon, A Luckow, LB Ngo
IEEE Transactions on Intelligent Transportation Systems 19 (3), 787-801, 2017
Emerging grid standards
M Baker, A Apon, C Ferner, J Brown
Computer 38 (4), 43-50, 2005
High Performance Computing Instrumentation and Research Productivity in US Universities
A Apon, S Ahalt, V Dantuluri, C Gurdgiev, M Limayem, L Ngo, M Stealey
Cluster computing in the classroom: Topics, guidelines, and experiences
A Apon, R Buyya, H Jin, J Mache
Proceedings First IEEE/ACM International Symposium on Cluster Computing and …, 2001
Assessing the effect of high performance computing capabilities on academic research output
AW Apon, LB Ngo, ME Payne, PW Wilson
Empirical Economics 48, 283-312, 2015
Inital starting point analysis for k-means clustering: A case study
A Apon, F Robinson, D Brewer, L Dowdy, D Hoffman, B Lu
The centrality of data: data lifecycle and data pipelines
B Plale, I Kouper
Data analytics for intelligent transportation systems, 91-111, 2017
Defensive maneuver cyber platform modeling with Stochastic Petri Nets
WC Moody, H Hu, A Apon
10th IEEE International Conference on Collaborative Computing: Networking …, 2014
JUMMP: Job Uninterrupted Maneuverable MapReduce Platform
WC Moody, LB Ngo, E Duffy, A Apon
IEEE International Conference on Cluster Computing, 9, 2013
LORM: Supporting low-overhead P2P-based range-query and multi-attribute resource management in grids
H Shen, A Apon, CZ Xu
2007 International Conference on Parallel and Distributed Systems, 1-8, 2007
Cluster computing in the classroom and integration with computing curricula 2001
A Apon, J Mache, R Buyya, H Jin
ieee Transactions on Education 47 (2), 188-195, 2004
Evaluation of highly available cloud streaming systems for performance and price
D Nguyen, A Luckow, E Duffy, K Kennedy, A Apon
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018
Characteristics of intelligent transportation systems and its relationship with data analytics
SM Khan, M Rahman, A Apon, M Chowdhury
Data analytics for intelligent transportation systems, 1-29, 2017
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