杏吧原创

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Publications 2022-2023

2022-2023

Journal Publications

  1. B. Singh, R. Kaur, C.M. Woodside, J.W. Chinneck (2023), 鈥淟ow鈥怭ower Multi鈥怌loud Deployment of Large Distributed Service Applications with Response鈥恡ime Constraints鈥, Journal of Cloud Computing, vol. 12, no. 1, pp. 1鈥17. https://doi.org/10.1186/s13677鈥022鈥00363鈥恮
  2. J鈥怐. Medjo Me Biomo, T. Kunz, T., M. St鈥怘ilaire, 鈥淎 Novel Routing Protocol for Reducing Packet Delay with Multi鈥怋eam Antennas鈥, Computer Networks (Elsevier), vol., 220, no.109479, pp. 1鈥14, January 2023.
  3. D. Zhang, W. Shi, M. St鈥怘ilaire, and R. Yang, 鈥淢ulti鈥怉ccess Edge Integrated Networking for Internet of Vehicles: A Blockchain鈥怋ased Deep Compressed Cooperative Learning Approach鈥, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 21593鈥21607, November 2022.
  4. A. Abada, M. St鈥怘ilaire, and W. Shi, 鈥淩ebate Auction Mechanisms for Bidirectional Grid Balancing Using Cloud Workload Migrations鈥, IEEE Access, vol. 10, pp. 78910鈥78927, July 2022.
  5. M. Abuibaid, A. Ghorab, M. St鈥怘ilaire, B.A. Varga, J. Farkas, I. Moldovan, and M. Mate, 鈥淐loudification of Time鈥怱ensitive Networking Reliability Functions: Challenges and Potential Solution Directions鈥, IEEE Communications Standards Magazine, vol. 6, no. 4, pp. 30鈥37, 2022.
  6. M. Abuibaid, A. Ghorab, A. Seguin-McPeake, O. Yuen, T. Yungblut and M. St鈥怘ilaire, 鈥淓dge Workloads Monitoring and Failover: A StarlingX鈥恇ased Testbed Implementation and Measurement Study鈥, IEEE Access, vol. 10, pp. 97101鈥97116, September 2022.
  7. A. Le Clair, J. Jaskolka, W. MacCaull, and R. Khedri. 鈥淎rchitecture for ontology鈥 supported multi鈥恈ontext reasoning systems鈥 Data & Knowledge Engineering, 140:102044, July 2022.
  8. J. Jaskolka, B. Hamid, and S. Kokaly, 鈥淪oftware design trends supporting multi鈥恈oncern assurance鈥, IEEE Software, 39(4):22鈥26, July/August 2022.
  9. Z. Zhang, C-H. Lung, X. Wei, M. Chen, S. Chatterjee, and Z. Zhang, 鈥淚n鈥恘etwork Caching for ICN鈥恇ased IoT (ICN鈥怚oT): A Comprehensive Survey鈥, accepted to IEEE Internet of Things Journal, May 2023.
  10. Z. Zhang, X. Wei, C鈥怘. Lung, Y. Zhao, 鈥渋Cache: An Intelligent Caching Scheme for Dynamic Network Environments in ICN鈥恇ased IoT Networks鈥, IEEE Internet of Things Journal, vol. 10, no. 2, Jan 2023.
  11. Y. Azimi, S. Yousefi, H. Kalbkhani, and T. Kunz, 鈥淎pplications of Machine Learning in Resource Management for RAN鈥怱licing in 5G and Beyond Networks: A Survey鈥 IEEE Access, Vol. 10, pages, 106581鈥106612, October 2022.
  12. F. Islam, D.C. Petriu, M. Woodside, 鈥淔ocused Layered Performance Modelling by Aggregation鈥, published in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), Vol 7, Issue 2鈥4, Article No: 7, pp 1鈥23, November 2022,.
  13. S. Bernardi, J. Merseguer, D.C. Petriu, 鈥淒ependability Modeling of Software Systems with UML and DAM: A Guide for Real鈥怲ime Practitioners鈥. Software 2022, 1, 1鈥18.

Conference Publications

  1. B. Wubete, T. Triplet, D. Cote, B. Esfandiari, T. Kunz, 鈥淚mportance of Optical Metrics for IGP Configuration Change Prediction鈥, to appear in Proceedings of IEEE International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023), June 19鈥22, 2023, Valencia, Spain.
  2. M. Vezina, B. Esfandiari, F. Schwarzentruber and S. Morley, 鈥淨ualitative Uncertainty Reasoning in AgentSpeak鈥, to appear in Proceedings of 20th European Conference on Multi鈥怉gent Systems (EUMAS 2023), September 14鈥15, 2023, Naples, Italy.
  3. M. Vezina, B. Esfandiari, F. Schwarzentruber and S. Morley, 鈥淩easoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic鈥, extended abstract, to appear in Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS鈥23)
  4. P. Gavigan, B. Esfandiari, 鈥淨uantifying the Relationship Between Software Design Principles and Performance in Jason: a Case Study with Simulated Mobile Robots鈥, to appear in Annals of Mathematics and Artificial Intelligence, Springer, 2023.
  5. R. Mohamed, I. Lambadaris, A. Leivadeas, J.W. Chinneck, T. Morris, and P. Djukic (2023), 鈥淎utomatic Feasibility Restoration for 5G Cloud Gaming鈥, IEEE International Conference on Communications (ICC): Communication Software and Multimedia Symposium, 28 May ??? 01 June, Rome, Italy.
  6. G. Yee. Improving the Derivation of Sound Security Metrics. In 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), pages 1804鈥1809, 2022.
  7. G. Yee. A Design Approach for Minimizing Data Theft. In 2022 International Conference on Computational Science and Computational Intelligence (CSCI), pages 984鈥990, 2022
  8. Q. Rouland, B. Hamid, J-P. Bodeveix, and J. Jaskolka, 鈥淔ormalizing the relationship between security policies and objectives in software architectures鈥 In Proceedings of the 2023 IEEE 20th International Conference on Software Architecture Companion, ICSA鈥怌 2023, pages 151鈥158, L鈥橝quila, Italy, 2023.
  9. S. Alwidian and J. Jaskolka 鈥淯nderstanding the role of human鈥恟elated factors in security requirements elicitation鈥, In Alessio Ferrari and Birgit Penzenstadler, editors, Proceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2023, volume 13975 of Lecture Notes in Computer Science, pages 65鈥74, Barcelona, Spain, 2023.
  10. A. Jawad and J. Jaskolka 鈥淒efense models for data recovery in industrial control systems鈥, In Guy鈥怴incent Jourdan, Laurent Mounier, Carlisle Adams, Florence S猫des, and Joaquin Garcia鈥怉lfaro, editors, Proceedings of the 15th International Symposium on Foundations & Practice of Security, FPS 2022, volume 13877 of Lecture Notes in Computer Science, pages 198鈥216, Ottawa, ON, Canada, 2023.
  11. X. Zhang and J. Jaskolka. 鈥淐onceptualizing the secure machine learning operations (SecMLOps) paradigm鈥, In Proceedings of the 22nd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2022, pages 127鈥138, 2022.
  12. M. Zeroual, B. Hamid, M. Adedjouma, and J. Jaskolka, 鈥淭owards logical specification of adversarial examples in machine learning鈥, In Proceedings of the 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2022, pages 1575鈥1580, 2022.
  13. J. Jaskolka and B. Hamid, 鈥淭owards the integration of human factors in collaborative decision making for secure architecture design鈥 , In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, pages 1鈥8, Rochester, MI, USA, 2022.
  14. J. Mendoza, J. Mycroft, L. Milbury, N. Kahani, and J. Jaskolka, 鈥淥n the effectiveness of data balancing techniques in the context of ML鈥恇ased test case prioritization鈥. In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2022, pages 72鈥81, Singapore, 2022.
  15. X. Zhang and J. Jaskolka, 鈥淪ecurity patterns for machine learning: The data鈥恛riented stages鈥, In Proceedings of the 27th European Conference on Pattern Languages of Programs, EuroPLoP 2022, pages 1鈥12, 2022.
  16. S. Kuri, T. Islam, J. Jaskolka, and M. Ibnkahla, 鈥淎 threat model and security recommendations for IoT sensors in connected vehicle networks鈥, In Proceedings of the 2022 IEEE 95th Vehicular Technology Conference, VTC鈥怱pring 2022, pages 1鈥5, Helsinki, Finland, 2022.
  17. A. Jawad, L. Newton, A. Matrawy, and J. Jaskolka, 鈥淎 formal analysis of the efficacy of rebooting as a countermeasure against IoT botnets. In Proceedings of the 2022 IEEE International Conference on Communications, IEEE ICC 2022, pages 2206鈥2211, Seoul, South Korea, 2022.
  18. A. Mutakabbir, C-H. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell and S. Sampalli, 鈥淪patio鈥怲emporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data鈥, Proc. of IEEE International Conference on Computers, Software & Applications (COMPSAC), June, 2023.
  19. Y. Wei, R. Paredes Cabrera, C-H. Lung, and S. Ajila, 鈥淧re鈥恈onnect Handover Management for 5G Networks鈥, Proc. of IEEE Future Networks World Forum (FNWF), Oct. 2022.
  20. C. Sai Chebrolu, C-H. Lung, and S. Ajila, 鈥淒ynamic Packet Filtering Using Machine Learning鈥, Proc. of IEEE 23rd International Conference on Information Reuse and Integration for Data Science, Aug 2022.
  21. A. Mutakabbir, C-H. Lung, and A. Ajila, 鈥淎nalysis of Airfare during Pandemic: A Multi鈥怉gent Based Modeling Approach鈥, Proc. of IEEE Workshop on Big Data Workshop Applications of Big Data Technology in the Transport Industry, in cooperation with IEEE International Conference on Big Data (IEEE BigData), pp. 3821鈥3830, Dec. 2022.
  22. S.T. Sukumar, C-H. Lung, and M. Zaman, 鈥淜nowledge Graph Generation for Unstructured Data Using Data Processing Pipeline鈥, Proc. of IEEE Annual Computer Software and Applications (COMPSAC), June 2023.
  23. R. Narendra Babu, C-H. Lung, and M. Zaman, 鈥淧erformance Evaluation of Transformer鈥 based NLP Models on Fake News Detection Datasets鈥, Proc. of IEEE Annual Computer Software and Applications (COMPSAC), June 2023.
  24. S. Pham, K. Oliveira, C-H. Lung, 鈥淲ebAssembly Modules as an Alternative to Docker Containers in IoT Application Development鈥, Proc. of the 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), April 2023. Accepted one of the Best Paper Awards.
  25. C. Figueroa, T. Knowles, V. Kukreja, and C-H. Lung, 鈥淚oT Management with Container Orchestration鈥, Proc. of the 3rd IEEE International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), April 2023.
  26. Z. Wang, A. Bittar, C. Huang, C-H. Lung, and G. Shami, 鈥淎 Web鈥恇ased Orchestrator for Dynamic Service Function Chaining Development with Kubernetes鈥, Proc. of the 8th IEEE International Conference on Network Softwarization (NetSoft 2022), July 2022.
  27. Chung鈥怘orng Lung and Hesham Elbakoury, 鈥淓xploiting Segment Routing and SDN Features for Green Traffic Engineering鈥, Proc. of the 1st International Workshop on Network Energy Efficiency in the Softwarization Era, in collaboration with the 8th IEEE International Conference on Network Softwarization (NetSoft 2022), July 2022.
  28. A. Mutakabbir, C-H. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell, S. Sampalli, 鈥淔orest Fire Prediction using Multi鈥怱ource Deep Learning鈥, EAI BDTA 2023 鈥 13th EAI International Conference on Big Data Technologies and Applications, August 23鈥24, 2023, Edinburgh, Great Britain.
  29. S. Ajila, 鈥淗ave the Factors Affecting Software New Product Development (S鈥怤PD) Changed in the Age of Mobile Apps and Agile Methods?鈥, In PICMET 鈥23 鈥 Managing Technology, Engineering and Manufacturing for a Sustainable World, Monterrey Mexico, July 23 鈥 27, 2023.
  30. Y. Wei, C-H. Lung, S. Ajila, and R. Paredes Cabrera, 鈥淒eep Q鈥怤etworks Assisted Pre鈥恈onnect Handover Management for 5G Networks鈥, IEEE Vehicular Technology Conference (VTC2023鈥怱pring), Florence, Italy June 20 鈥 23, 2023
  31. M. Fan, O. Imran, A. Singh, and S. Ajila, 鈥淯sing CNN鈥怢STM Model for Weather Forecasting, 2022 IEEE International Conference on Big Data (Big Data), December 17鈥20, 2022, Osaka, Japan, pp 4110 鈥 4115.
  32. A. Dybka, D. Kocjan, and S. Ajila, 鈥淎 Semi supervised Approach to Predicting a Twitch Streamer Growth based on the Game Streamed鈥, 2022 IEEE International Conference on Big Data (Big Data), December 17鈥20, 2022, Osaka, Japan, pp 4100 鈥 4109.
  33. S. Ajila, 鈥淢ultilayer Meta鈥怢earning Approach to Forecasting Air Pollutants鈥, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science鈥, (IEEE鈥怚RI鈥20220, August 9 鈥 11, 2022, pp 69 鈥 74.
  34. F. Blanc, A. Syed, A. Mohammadi Esfahani, S. Reddy Venna, and S. Ajila, 鈥淎 Deep Learning Sequential鈥恇ased Model for Predicting Victories in Video Games鈥, Proceeding of IEEE Conference on Information Reuse and Integration for Data Science, (IEEE鈥怚RI鈥2022), August 9 鈥 11, 2022, pp 212 鈥 213.
  35. L. Li, J鈥怭. El Rami, A. Taylor, J. Hailing Rao, and T. Kunz, 鈥淓nabling a Network AI Gym for Autonomous Cyber Agents鈥, Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA, December 2022.
  36. T. Kunz, C. Fisher, J. La Novara鈥怗sell, C. Nguyen, and L. Li, 鈥淎 Multiagent CyberBattleSim for RL Cyber Operation Agents鈥, Proceedings of the 2022 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA, December 2022.
  37. L. Li, J鈥怭. El Rami, A. Taylor, J. Hailing Rao, and T. Kunz, 鈥淯nified Emulation鈥怱imulation Training Environment for Autonomous Cyber Agents鈥, Proceedings of the 5th International Conference on Machine Learning for Networking (MLN鈥2022), Paris, France, November 2022.
  38. K. Nguyen, W. Shi, and M. St鈥怘ilaire, 鈥淎 Dynamic Vehicle鈥怰anking Approach for Online Virtual Network Embedding in Internet of Vehicles鈥, International Telecommunication Networks and Applications Conference (ITNAC 2022), Wellington, New Zealand, Nov 30 鈥 Dec 2, 2022.
  39. K. Nguyen, W. Shi, and M. St鈥怘ilaire, 鈥淐ost鈥恆ware Node Ranking Algorithm for Embedding Virtual Networks in Internet of Vehicles鈥, 4th EAI International Conference on Artificial Intelligence for Communications and Networks (AICON 2022), Hiroshima, Japan, Nov 30 鈥 Dec 1, 2022.
  40. B. Fatemipour, W. Shi, and M. St鈥怘ilaire, 鈥淎 Cost鈥怑ffective and Multi鈥怱ource鈥怉ware Replica Migration Approach for Geo鈥怐istributed Data Centers鈥, IEEE Cloud Summit, Fairfax, Virginia, USA, October 2022.
  41. S. Al Shamaa, N. Harrabida, W. Shi, and M. St鈥怘ilaire, 鈥淓nergy鈥怑fficient Massive MIMO Design: Optimal Number of Antennas Ensuring Guaranteed Bit Rate鈥, IEEE Cloud Summit, Fairfax, Virginia, USA, October 2022.
  42. D. Zhang, W. Shi, and M. St鈥怘ilaire, and R. Yang,鈥滱 Blockchain鈥怋ased Distributed Pruning Deep Compression Approach for Cooperative Positioning in Internet of Vehicles鈥, International Wireless Communications and Mobile Computing Conference (IWCMC 2022), Dubrovnik, Croatia, May鈥怞une 2022.
  43. J. Contreras, S. Majumdar, 鈥淓nhancing the Performance of Inter鈥怌loud Data Transfers鈥, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Marrakech, Morocco, August 2023.
  44. A. Syed, S. Majumdar, 鈥淭echniques for Moment Retrievals and Filtering from Large Volumes of Multimodal Data鈥, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Marrakech, Morocco, August 2023.
  45. A, Syed, S. Majumdar, 鈥淭echniques for Achieving High Performance in Deep Learning Based Systems for Selective Filtering of Live Video Streams鈥, Proc. The 28th Int鈥檒 Conf on Parallel and Distributed Processing Techniques and Applications (PDPTA), Las Vegas, USA, August 2023.
  46. A. Syed, S. Majumdar, 鈥淧arallel Processing Techniques for Analyzing Large Video Files: a Deep Learning Based Approach鈥, Proc. IEEE 12th International Conference on Big Data and Cloud Computing (BDCloud), Melbourne, Australia, December 2022.
  47. M. Vrbaski, M. Bolic, S. Majumdar,鈥淢ulti鈥恛bjective Optimization for Cloud Provisioning: a Case Study in Large鈥 scale Microservice Notification Applications鈥, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022.
  48. M. Vrbaski, M. Bolic, S. Majumdar, 鈥淪CN鈥怐RL: Scheduler for Large鈥恠cale Critical Notification Applications based on Deep Reinforcement Learning鈥, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022.
  49. J. Contreras, S. Majumdar, 鈥淢ethods for Transferring Data from a Compute to a Storage Cloud鈥, Proc. International Conference on Future Internet of Things and Cloud (FiCloud), Rome, Italy, August 2022.
  50. G. Davidson, S. Majumdar, 鈥淪elective Filtering of Large PDF Document Sets: a Performance Oriented Approach鈥, Proc. The 28th International Conference on Parallel & Distributed Processing Techniques & Applications (PDPTA), Las Vegas, USA, July 2022.
  51. G. Davidson, S. Majumdar, 鈥淏oolean Logical Operator Driven Selective Data Filtering for Large Datasets鈥, Proc. Annual Modeling and Simulation Conference (ANNSIM 2022), San Diego, USA, July 2022.

Patents

  1. Y. Wei, R. Paredes Cabrera, and C鈥怘. Lung, 鈥淒RL鈥恇ased 5G Mobility Optimization鈥.
  2. B. Wubete, T. Triplet, B. Esfandiari, T. Kunz, D.Cote, 鈥淚GP Change Identification Using Gradient Boosted Methods And Importance of Optical Metrics鈥, United States. Patent Status: Pending, submitted October 2022.
  3. B. Wubete, C. Barber, B. Esfandiari, T. Kunz, 鈥淟everaging temporal鈥恇ased datapoints for predicting network events鈥, filed in 2023.
  4. B. Wubete, T. Triplet, B. Esfandiari, T. Kunz, D. Cote, 鈥淧redicting impending change to Interior Gateway Protocol (IGP) metrics鈥, filed in 2022, application no. 17/992,297.

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