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Samuel A Ajila, PhD., P.Eng., SMIEEE, SMACM
Samuel A Ajila, PhD., P.Eng., SMIEEE, SMACM
Associate Professor of Software Engineering, Carleton University
Verified email at sce.carleton.ca - Homepage
Title
Cited by
Cited by
Year
Empirical study of the effects of open source adoption on software development economics
SA Ajila, D Wu
Journal of Systems and Software 80 (9), 1517-1529, 2007
1802007
Mobile network traffic prediction using MLP, MLPWD, and SVM
AY Nikravesh, SA Ajila, CH Lung, W Ding
2016 IEEE international congress on big data (BigData Congress), 402-409, 2016
1222016
Towards an autonomic auto-scaling prediction system for cloud resource provisioning
AY Nikravesh, SA Ajila, CH Lung
2015 IEEE/ACM 10th International Symposium on Software Engineering for …, 2015
1182015
Predicting cloud resource provisioning using machine learning techniques
AA Bankole, SA Ajila
2013 26th IEEE Canadian Conference on Electrical and Computer Engineering …, 2013
1002013
Cloud client prediction models for cloud resource provisioning in a multitier web application environment
AA Bankole, SA Ajila
2013 IEEE Seventh International Symposium on Service-Oriented System …, 2013
992013
Software maintenance: an approach to impact analysis of objects change
S Ajila
Software: Practice and Experience 25 (10), 1155-1181, 1995
841995
An autonomic prediction suite for cloud resource provisioning
AY Nikravesh, SA Ajila, CH Lung
Journal of Cloud Computing 6, 1-20, 2017
652017
Cloud client prediction models using machine learning techniques
SA Ajila, AA Bankole
2013 IEEE 37th Annual Computer Software and Applications Conference, 134-142, 2013
602013
Using traceability mechanisms to support software product line evolution
SA Ajila, AB Kaba
Proceedings of the 2004 IEEE International Conference on Information Reuse …, 2004
532004
Evolution support mechanisms for software product line process
SA Ajila, AB Kaba
Journal of Systems and Software 81 (10), 1784-1801, 2008
472008
LXC container migration in cloudlets under multipath TCP
Y Qiu, CH Lung, S Ajila, P Srivastava
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017
462017
Experimental use of code delta, code churn, and rate of change to understand software product line evolution
SA Ajila, RT Dumitrescu
Journal of Systems and Software 80 (1), 74-91, 2007
442007
Measuring prediction sensitivity of a cloud auto-scaling system
AY Nikravesh, SA Ajila, CH Lung
2014 IEEE 38th International Computer Software and Applications Conference …, 2014
382014
Cloud resource auto-scaling system based on hidden markov model (hmm)
AY Nikravesh, SA Ajila, CH Lung
2014 IEEE International Conference on Semantic Computing, 124-127, 2014
302014
Experimental evaluation of LXC container migration for cloudlets using multipath TCP
Y Qiu, CH Lung, S Ajila, P Srivastava
Computer Networks 164, 106900, 2019
282019
Using machine learning algorithms for cloud client prediction models in a web VM resource provisioning environment
SA Ajila, AA Bankole
Transactions on Machine Learning and Artificial Intelligence 4 (1), 28, 2016
262016
The foom method-modeling software product lines in industrial settings
SA Ajila, PJ Tierney
Proceedings of the 2002 International Conference on Software Engineering …, 2002
222002
Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker
AY Nikravesh, SA Ajila, CH Lung
Journal of Cloud Computing 7, 1-21, 2018
202018
Nearby live virtual machine migration using cloudlets and multipath TCP
F Teka, CH Lung, SA Ajila
Journal of Cloud Computing 5, 1-21, 2016
202016
A comprehensive analysis of accuracies of machine learning algorithms for network intrusion detection
A Das, SA Ajila, CH Lung
Machine Learning for Networking: Second IFIP TC 6 International Conference …, 2020
192020
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