Publications

    Journal Publications

1.      Samuel A. Ajila, Chung-Horng Lung, Anurag Das, Analysis of Error-based Machine Learning Algorithms in Network Anomaly Detection and Categorization, Annals of Telecommunications,77, 359–370 (2022). https://doi.org/10.1007/s12243-021-00836-0. 77(Online): pp 359 - 370.

 

2.      Chung-Horng Lung, Yuqing Qiu, Samuel Ajila, Pradeep Srivastava, Experimental Evaluation of LXC Container Migration for Cloudlets Using Multipath TCP, Computer Networks, Vol. 164, pp 1 – 14, December 9, 2019  

 

3.      Yang Cao, Chung-Horng Lung, Samuel Ajila, and Xiaolin Li, Support Mechanisms for Cloud Configuration Using XML Filtering Techniques: a Case Study in SaaS,  Future Generation Computer Systems (FGCS), Vol. 39, June 2019, pp 52-67

 

4.      Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker, Journal of Cloud Computing (2018), vol. 7, No.  20, Nov. 2018 https://doi.org/10.1186/s13677-018-0122-7 

 

5.      Xing Fan, Chung-Horng Lung, Samuel A. Ajila, Using Hybrid and Diversity-Based Adaptive Ensemble Method for Binary Classification, International Journal of Intelligence Science (IJIS), Vol.8 No.3 July 2018

 

6.      Ali Yadavar Nikravesh,   Samuel A. Ajila,    Chung-Horng Lung, An Autonomic Prediction Suite for Cloud Resource Provisioning, Journal of Cloud Computing (JCC), pp. 1 – 20, Vol. 6, No. 3, February 3 2017, DOI: 10.1186/s13677-017-0073-4. https://link.springer.com/article/10.1186/s13677-017-0073-4

 

7.         Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, Wayne Ding, An Experimental Investigation of Mobile Network Traffic Prediction Accuracy, International Journal of Big Data, ISBN 2326-442X, Service Transactions on Big Data, ISBN 2326-442X, Volume 3 Issue 1, pp 1-16, 2017

 

8.         Man Si, Chung-Horng Lung, Samuel Ajila, Wayne Ding, An Investigation of Mobile Network Traffic Data and Apache Hadoop Performance, International Journal of Big Data, ISBN 2326-442X, Service Transactions on Big Data, ISBN 2326-442X, Volume 3 Issue 1, pp 17-31, 2017

 

9.        Samuel A. Ajila, Yoonsoon Chang, Using Modified Floyd-Warshall Algorithm to Implement SPB IEEE 802.1aq Protocol Simulator on NS-3, International Journal of Computer and Communication Engineering (IJCCE), pp. 1 -17, Vol. 6, No. 1, January 2017.

10.  Fikirte Teka, Chung-Horng Lung, and Samuel A. Ajila, Nearby Live Virtual Machine Migration using Cloudlets and Multipath TCP, Journal of Cloud Computing (JCC), pp. 1 – 21, Vol. 5, No. 12, September 2016 - https://link.springer.com/article/10.1186/s13677-016-0061-0

11.    Wenjing Han, Chung-Horng Lung, Samuel Ajila, Using Source Code and Process Metrics for Defect Prediction – A Case Study of Three Algorithms and Dimensionality Reduction, Journal of Software (JSW), Vol. 11, No. 9, September 2016

12.    Samuel A. Ajila and Akindele A. Bankole, Using Machine Learning Algorithms for Cloud Prediction Models in a Web VM Resource Provisioning Environment, Transactions on Machine Learning and Artificial Intelligence, Vol. 4, Issue 1, pp 29 – 51, Society for Science and Education, United Kingdom, Feb., 2016

13.    Samuel A. Ajila, Angad S. Gakhar, and Chung H. Lung, Aspectualization of Code Clones – An Algorithmic Approach, Information Systems Frontiers – A Journal of Research and Innovation, Vol. 16, No. 5, pp 835 – 851, Springer US, 2014

14.    Chung-Horng Lung, Samuel A. Ajila and Wen-Lin Liu, Measuring the Performance of Aspect Oriented Software: A Case Study of Leader/Followers and Half-Sync/Half-Async Architectures, Information Systems Frontiers - A Journal of Research and Innovation,  Vol. 16, No. 5, pp 853 – 866, Springer US, 2014

15.    Sajjad Mahmoud and Samuel A. Ajila, The Impact of Native Language on Use Case Modeling: A Controlled Experiment, Journal of Software (JSW), Vo; 8. No. 7, pp 1577-1585, Academy Publisher, 2013

 Refereed Conference & Workshop Papers

1.      Abdul Mutakabbir and Samuel A. Ajila, Explainable Long-Term Forecasting of Air Pollution, 2023 IEEE International Conference on Big Data (Big Data), Dec 15 – 18, 2023, Sorrento, Italy.

 

2.      Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Forest Fire Prediction using Multi-Source Deep Learning, EAI BDTA 2023 - 13th EAI International Conference on Big Data Technologies and Applications, August 23-24, 2023, Edinburgh, Great Britain

 

3.      Samuel A. Ajila, Have the Factors Affecting Software New Product Development (S-NPD) Changed in the Age of Mobile Apps and Agile Methods?, In PICMET ’23 - Managing Technology, Engineering and Manufacturing for a Sustainable World, Monterrey Mexico, July 23 – 27, 2023

 

4.      Abdul Mutakabbir, Chung-Homg Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, and Srinivas Sampalli, Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data, IEEE-COMPSAC: Computer Software and Applications Conference, Torino, Italy, June 26 – 30, 2023

 

5.      Yao Wei, Chung-Horng Lung, Samuel Ajila, and Ricardo Paredes Cabrera, Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks, IEEE Vehicular Technology Conference (VTC2023-Spring), Florence, Italy June 20 - 23, 2023

 

6.      Michael Fan, Omar Imran, Arka Singh, and Samuel A. Ajila, Using CNN-LSTM Model for Weather Forecasting, 2022 IEEE International Conference on Big Data (Big Data), December 17-20, 2022, Osaka, Japan, pp 4110 – 4115

 

7.      Andrew Dybka, Dominic Kocjan, and Samuel A. Ajila, A Semisupervised Approach to Predicting a Twitch Streamer Growth based on the Game Streamed, 2022 IEEE International Conference on Big Data (Big Data), December 17-20, 2022, Osaka, Japan, pp 4100 – 4109

 

8.      Abdul Mutakabbir, Chung-Horng Lung, and Samuel A. Ajila, Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach, 2022 IEEE International Conference on Big Data (Big Data), December 17-20, 2022, Osaka, Japan, pp 3811 – 3820

 

9.      Yao Wei, Ricardo Paredes Cabrera, Chung-Horng Lung, and Samuel Ajila, Pre-connect Handover Management for 5G Networks, IEEE Future Networks World Forum (FNWF), Montreal, Quebec, Canada, 12-14 October 2022

 

10.  Samuel A. Ajila, Multilayer Meta-Learning Approach to Forecasting Air Pollutants, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science, (IEEE-IRI-20220, August 9 – 11, 2022, pp 69 - 74

 

11.  Francoise Blanc, Azhar Syed, Ali Mohammadi Esfahani, Sandeep Reddy Venna, and Samuel A. Ajila, A Deep Learning Sequential-based Model for Predicting Victories in Video Games, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science, (IEEE-IRI-2022, August 9 – 11, 2022, pp 212 – 213.

 

12.  Chandan Sai Chebrolu, Chung-Horng Lung, and Samuel Ajila, Dynamic Packet Filtering Using Machine Learning, IEEE Conference on Information Reuse and Integration for Data Science, (IEEE-IRI-2022, August 9 – 11, 2022, pp 206 – 211.

 

13.  Samuel Ajila and Karthik Dilliraj, Forecasting Air Pollution using a Modified Compositional Learning Approach, 2021 IEEE International Conference on Big Data (IEEE BigData 2021), International Workshop on Big Data Analytics for Sustainability (BDA4S 2021), Dec. 15 – 18, 2021, pp. 3992 – 4001

 

14.  Azadeh Etedali, Chung-Horng Lung, and Samuel Ajila, Comparative Analysis of Genetic Algorithm and XML Filtering Technique for Multi-Tenant SaaS Configuration Management, 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Oct. 27 – 30, 2021, pp 223 – 228

 

15.  Samuel A. Ajila, Nidheesh Vijay, Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems, 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), August 10-12, 2021, pp 17 – 24

 

16.  Niyati R. Darji, Samuel A. Ajila, Increasing Prediction Accuracy for Human Activity Recognition Using Optimized Hyperparameters, 2020 IEEE International Conference on Big Data, Dec 10-13, 2020, pp 2472-2481

 

17.  Anurag Das, Samuel A. Ajila, Chung-Horng Lung, A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection, IFIP International Federation for Information Processing 2020, Published by Springer Nature Switzerland AG 2020, S. Boumerdassi et al. (Eds.): MLN 2019, LNCS 12081, pp. 40–57, 

 

18.  Bhumika Patel, Zaheenabanu Somani, Samuel A. Ajila, Chung-Horng Lung, Hybrid Relabeled Model for Network Intrusion Detection, The 4th IEEE International Conference on Smart Data (SmartData-2018), Halifax, Canada, July 30 – Aug. 03, 2018

 

19.  Xing Fan, Chung-Horng Lung, Samuel A. Ajila, An Adaptive Diversity-Based Ensemble Method for Binary Classification, 2017 IEEE 41th Annual International Computers, Software & Applications Conference (COMPSAC’17), pp 822 – 827, July 4 – 8, 2017, Torino, Italy

 

20.  Ali Yadavar Nikravesh, Samuel A. Ajila,  Chung-Horng Lung, The Impact of Database Layer on Auto-Scaling Decisions in a 3-Tier Web Services Cloud Resource Provisioning, The 11th IEEE International COMPSAC Workshop on Quality Oriented Reuse of Software (QUORS), pp 401 – 406, July 4-8, 2017, Torino, Italy

 

21.  Azadeh Etedali, Chung-Horng Lung, Samuel Ajila, Igor Veselinovic, Automated Constraint-based Multi-tenant SaaS Configuration Support Using XML Filtering Techniques, The 11th IEEE International COMPSAC Workshop on Quality Oriented Reuse of Software (QUORS), pp 413 – 418, July 4-8, 2017, Torino, Italy

 

22.  Yuqing Qiu, Chung-Horng Lung, Samuel Ajila, Pradeep Srivastava, LXC Container Migration in Cloudlets under Multipath TCP, the 5th IEEE International COMPSAC Workshop on Architecture, Design, Deployment and Management of Networks and Applications (ADMNET 2017), pp 31 – 36, July 4 – 8, 2017, Torino, Italy

 

23.  Samuel A. Ajila, Have the Factors affecting Software New Product Development (S-NPD) Changed in the Age of Mobile Apps and Agile Methods? A Position Paper, Proceedings of PICMET '16 Conference "Technology Management for Social Innovation", September 4 - 8, 2016, pp. 2300 – 2307, Honolulu, Hawaii, USA

 

24.  Ali Yadavar Nikravesh, Samuel A. Ajila, Chung-Horng Lung, and Wayne Ding, Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM, 5th IEEE International Congress on Big Data, pp 402 – 409, June 27 - July 2, 2016, San Francisco, USA

 

25.  Man Si, Chung-Horng Lung, Samuel Ajila, and Wayne Ding, An Empirical Investigation of Mobile Network Traffic Data for Resource Management, 5th IEEE International Congress on Big Data, pp 291 – 298, June 27 - July 2, 2016, San Francisco, USA

 

26.  Wenjing Han, Chung-Horng Lung, and Samuel A. Ajila, Empirical Investigation of Code and Process Metrics for Defect Prediction, The 2nd IEEE International Conference on Multimedia Big Data (IEEE BigMM 2016), April 20-22, Taipei, Taiwan

 

27.  Yang Cao, Chung-Horng Lung, and Samuel A. Ajila, Constraint-based Multi-tenant SaaS Deployment Using Feature Modeling and XML Filtering Techniques, IEEE-COMPSAC-2015 workshop: 12th International Workshop on Software Cybernetics (IWSC-2015), pp 454 – 459, July 1 – 5, 2015, Taichung, Taiwan.

 

28.  Duo Liu, Chung-Horng Lung, and Samuel A. Ajila, Adaptive Clustering Techniques for Software Components and Architecture, IEEE-COMPSAC-2015 workshop: 12th International Workshop on Software Cybernetics (IWSC – 2015), pp 460 – 465, July 1 – 5, 2015, Taichung, Taiwan.

 

29.  Ali Yadavar Nikravesh, Samuel A. Ajila, and Chung-Horng Lung, Evaluating the sensitivity of an Auto-Scaling Decisions in an Environment with Different Workload Patterns, 2015 IEEE-COMPSAC The 39th Annual International Computers, Software & Applications Conference, pp 415 – 420, July 1 – 5, 2015, Taichung, Taiwan

 

30.  Fikirte Teka, Chung-Horng Lung, and Samuel A. Ajila, Seamless Live Virtual Machine Migration with Cloudlets and Multipath TCP, 2015 IEEE COMPSAC The 39th Annual International Computers, Software & Applications Conference, pp 607 – 616, July 1 – 5, 2015, Taichung, Taiwan

 

31.  Ali Yadavar Nikravesh, Samuel A. Ajila, and Chung-Horng Lung, Towards an Autonomic Auto-Scaling Prediction System for Cloud Resource Provisioning, ICSE/SEAMS 2015 IEEE/ACM 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp 35 – 45, May 18 – 19, 2015, Firenze, Italy

 

32.  Ali Yadavar Nikravesh, Samuel A. Ajila, and Chung-Horng Lung, Measuring Prediction Sensitivity of a Cloud Auto-scaling System, 2014 IEEE COMPSACW 7th International workshop on Service Science and Systems, pp 690 – 695, July 21 – 25, 2014, Vasteras, Sweden

 

33.  Ali Yadavar Nikravesh, Samuel A. Ajila, and Chung-Horng Lung, Cloud Resource Autoscaling System based on Hidden Markov Model (HMM), 2014 IEEE International Conference on Semantic Computing (IEEE-ICSC), June 16 – 18, 2014, pp 124 – 127, Newport Beach, CA USA

 

34.  Abdulaziz Alkhalid, C.-H. Lung, and S. Ajila, Towards Efficient Software Deployment in the Cloud Using Requirements Decomposition, Proc. of the Workshop on Requirements Engineering, in collaboration with the 5th IEEE CloudCom, Dec. 2013, pp. 100–105.

35.       Samuel A. Ajila and Omhennimhen Iyamu, Efficient Live Wide Area VM Migration with IP Address Change Using Type II Hypersvisor, 2013 IEEE International Conference on Information Reuse and Integration (IEEE IRI-2013), pp 372-379, August 14-16, 2013, San Francisco, CA, USA.

36.       Samuel A. Ajila and Akindele A. Bankole, Cloud Client Prediction Models Using Machine Learning Techniques, COMPSAC 2013 - The 37th Annual International Computer Software & Applications Conference, pp 134-142, Kyoto, Japan July 22-26, 2013

37.  Sajjad Mahmood and Samuel A. Ajila, Software Requirements Elicitation – A Controlled Experiment to Measure the Impact of a Native Natural Language,  COMPSAC 2013 - The 37th Annual International Computer Software & Applications Conference, pp 437-442, Kyoto, Japan July 22-26, 2013

38.  Chung-Horng Lung, Abdulaziz Alkhalid, Duo Liu, Samuel Ajila, Software Architecture Decomposition Using Clustering Techniques, COMPSAC 2013 - The 37th Annual International Computer Software & Applications Conference, pp 806-811, Kyoto, Japan July 22-26, 2013

39.  Yoonsoon Chang and Samuel A. Ajila, Design and Implementation of Experimental SPB Network Simulator on NS-3, The 26th Canadian Conference on Electrical and Computer Engineering – IEEE Canada (CCECE 2013), May 5 – 8, 2013, Regina, SK, Canada

40.  Akindele A. Bankole and Samuel Ajila, Predicting Cloud Resource Provisioning using Machine Learning Techniques, The 26th Canadian Conference on Electrical and Computer Engineering – IEEE Canada (CCECE 2013), May 5 – 8, 2013, Regina, SK, Canada

41.  Abdulaziz Alkhalid, Chung-Horng Lung and Samuel A. Ajila, Software Architecture Decomposition Using Adaptive K-Nearest Neighbor Algorithm, The 26th Canadian Conference on Electrical and Computer Engineering – IEEE Canada (CCECE 2013), May 5 – 8, 2013, Regina, SK, Canada

42.  Akindele A. Bankole and Samuel A. Ajila, Cloud Client Prediction Models for Cloud Resource Provisioning in a Multitier Web Application Environment, The 7th IEEE International Symposium on Service-Oriented System Engineering (IEEESOSE 2013), pp 156-161, San Francisco Bay, USA March 25 – 28, 2013

43.  Samuel A. Ajila, Software Product Line Market Repositioning – The Power of Functional Groups, In Proceedings of PICMET '12 -Technology Management for Emerging Technologies, pp 1640 – 1650, July 29 - August 2, 2012, Vancouver, BC, Canada

44.  Samuel A. Ajila, Angad. S. Gakhar, Chung H. Lung, and Marzia Zaman, Reusing and Converting Code Clones to Aspects – An Algorithmic Approach, In 2012 IEEE International Conference on Information Reuse and Integration (IEEE IRI-2012) pp 9 -16, August 8-10, 2012, Las Vegas, NV, USA.

Old Notable Publications

1.      Samuel A. Ajila, Software Maintenance: An Approach to impact Analysis of Objects Change,  International Journal of Software Practice and Experience, Vol. 25(10) , 1995, pp. 1155-1181 pdf

2.      Samuel A. Ajila, Software Process Assistance: Management of objects modifications in an Integrated Software Engineering Environment, Nigerian Journal of Science, Vol. 28(3), 1994, pp 249 – 264

3.      Samuel A. Ajila, Jean Claude DERNIAME, and Henri BASSON (1995) - A Logic-Based Approach to Impact Analysis of Objects Change, In Practical Application of Prolog PAP'95, pp 1-23, Paris, France.

4.      Samuel A. Ajila, Henri BASSON, and Jean Claude DERNIAME, WHAT-IF: A function to estimate the impacts of potential changes in a Software, In Software Quality Management II: Building Quality into Software, (SQM 1994), Vol. 2, pp. 379-394, Edinburgh, Scotland.