Home / Publications, Talks, Tutorials &Theses

Current working papers/Recent Preprints

  • Hong-Linh Truong, Nguyen Ngoc Nhu Trang, Analytics Feature Space: a Novel Framework for Interoperable Edge Machine Learning Detection. (PDF), Under submission, 2024.
  • Hong-Linh Truong, Nguyen Ngoc Nhu Trang, TENSAI - Practical and Responsible Observability for Data Quality-aware Large-scale Analytics (PDF), Under submission, 2022.
  • Journals

    1. Minh-Tri Nguyen, Hong-Linh Truong, On Optimizing Resources for Real-Time End-to-End Machine Learning in Heterogeneous Edges. Softw: Pract Exper., 2024, https://doi.org/10.1002/spe.3383
    2. F. Chen, Z. Xiao, T. Xiang, J. Fan and H. -L. Truong, A Full Lifecycle Authentication Scheme for Large-scale Smart IoT Applications," (PDF) in IEEE Transactions on Dependable and Secure Computing, doi: 10.1109/TDSC.2022.3178115.

    3. Hong-Linh Truong, Tram Truong-Huu, Tien-Dung Cao, Making Distributed Edge Machine Learning for Resource-Constrained Communities and Environments Smarter: Contexts and Challenges, Journal of Reliable Intelligent Environments (2022)

    4. Orive, A., Agirre, A., Truong, H. L., Sarachaga, I., & Marcos, M. (2022). Quality of Service Aware Orchestration for Cloud–Edge Continuum Applications. Sensors, 22(5), 1-21. [1755]. https://doi.org/10.3390/s22051755

    5. Hong-Linh Truong, Liang Zhang, Resilience and Elasticity for Continuous Service-based Processes in Pandemic Ages, (Long, preprint PDF), IEEE ITPro, July, 2021

    6. Hong-Linh Truong, "Using IoTCloudSamples as a Software Framework for Simulations of Edge Computing Scenarios", Internet of Things: Engineering Cyber Physical Human Systems, 14, [100383]. https://doi.org/10.1016/j.iot.2021.100383, 2021

    7. Minjung Ryu, Hong-Linh Truong & Matti Kannala, Understanding quality of analytics trade-offs in an end-to-end machine learning-based classification system for building information modeling (PDF), Journal of Big Data 8,31 (2021)

    8. Fei Chen, Duming Luo, Tao Xiang, Ping Chen, Junfeng Fan, Hong-Linh Truong,IoT Cloud Security Review: A Case Study Approach Using Emerging Consumer-Oriented Applications (PDF), ACM COMPUTING SURVEYS, 2021

    9. Hong-Linh Truong, Peter Klein, DevOps Contract for Assuring Execution of IoT Microservices in the Edge (PDF), Internet of Things, Volume 9, 2020, 100150, ISSN 2542-6605
    10. Ahmed Ismail, Hong-Linh Truong, Wolfgang Kastner, Manufacturing Process Data Analysis Pipelines: A Requirements Analysis and Survey, (Preprint, Open Access PDF), Journal of Big Data, 2019.
    11. Hong-Linh Truong, Nanjangud C. Narendra, Kwei-Jay Lin, Notes on ensembles of IoT, network functions and clouds for service-oriented computing and applications, (Open Access PDF), Service Oriented Computing and Applications Journal, Springer, Mar 2018, Service Oriented Computing and Applications. https://doi.org/10.1007/s11761-018-0228-2
    12. Hong-Linh Truong, Aitor Murguzur, Erica Yang, "Challenges in Enabling Quality of Analytics in the Cloud" (PDF), Journal of Data and Information Quality, ACM, 2017
    13. Georgiana Copil, Daniel Moldovan, Hong-Linh Truong, Schahram Dustdar, rSYBL: a Framework for Specifying and Controlling Cloud Services Elasticity, ACM Transactions On Internet Technologiy (TOIT), 2016.To appear
    14. Tien-Dung Cao, Tran-Vu Pham, Quang-Hieu Vu, Hong-Linh Truong, Duc-Hung Le, Schahram Dustdar, "MARSA: A Marketplace for Realtime Human-Sensing Data," (PDF), Transactions on Internet Technology, 2016.

    Conferences/Book Chapters

    1. Minh-Tri Nguyen, An Ngoc Lam, Phu Nguyen, Hong-Linh Truong Security Orchestration with Explainability for Digital Twins-based Smart Systems (PDF), The 2024 IEEE International Conference on Computers, Software & Applications (COMPSAC 2024)

    2. Hong-Linh Truong and Ngoc Nhu Trang Nguyen. CuLao - Constructing Utilities of Large Language Models in Resource-Constrained Environments, In Proceedings of the 2024 International Conference on Information Technology for Social Good (GoodIT '24). Association for Computing Machinery, New York, NY, USA, 100–104. https://doi.org/10.1145/3677525.3678648

    3. Liang, J., Feng, Z., Gao, H., Chen, Y., Huang, J., & Truong, L. Deep Reinforcement Learning based Reliability-aware Resource Placement and Task Offloading in Edge Computing. In The 2024 IEEE International Conference on Web Services IEEE.

    4. H. -L. Truong, M. Vukovic and R. Pavuluri, "On Coordinating LLMs and Platform Knowledge for Software Modernization and New Developments," 2024 IEEE International Conference on Software Services Engineering (SSE), Shenzhen, China, 2024, pp. 188-193, doi: 10.1109/SSE62657.2024.00036.
    5. Minh-Tri Nguyen, Hong-Linh Truong, Tram Truong-Huu Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving (PDF), The 2024 International Conference on AI Engineering: Software Engineering for AI (CAIN 2024)

    6. Nguyen Ngoc Nhu Trang, Hong-Linh Truong Context-aware, Composable Anomaly Detection in Large-scale Mobile Networks (PDF), The 2023 IEEE International Conference on Computers, Software & Applications (COMPSAC 2023)

    7. Hong-Linh Truong, Nguyen Ngoc Nhu Trang, HAIVAN: a Holistic ML Analytics Infrastructure for a Variety of Radio Access Networks (PDF), 2022 IEEE International Conference on Big Data (IEEE BigData 2022)

    8. Tien-Dung Cao, Hong-Linh Truong, Tram Truong-Huu, Minh-Tri Nguyen, Enabling Awareness of Quality of Training and Costs in Federated Machine Learning Marketplaces (PDF), 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 2022.

    9. Hong-Linh Truong, Kostas Magoutis,Robustness via Elasticity Accelerators for the IoT-Edge-Cloud Continuum (PDF), 11th International Workshop on Cloud and Edge Computing, and Application Management, in conjunction with the 15th IEEE/ACM Utility and Cloud Computing Conference (UCC) , 2022.

    10. Hong-Linh Truong, Coordination-aware assurance for end-to-end machine learning systems: the R3E approach, 2022

    11. Nguyen, H-H., Phung, P., Nguyen, P., & Truong, L.,Context-driven Policies Enforcement for Edge-based IoT Data Sharing-as-a-Service (PDF). In 2022 IEEE International Conference on Services Computing (SCC), 2022.

    12. Zhu, J., Peng, J., Zhang, L., & Truong, L., Improving Business Process Resilience to Long-tailed Business Events via Low-code, (PDF) In 2022 IEEE INTERNATIONAL CONFERENCE ON Web Services (IEEE ICWS 2022) IEEE

    13. Pham, T-D., Ho, T-L., Truong-Huu, T., Cao, T-D., & Truong, L. (2021). MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks(PDF), In Proceedings - 37th Annual Computer Security Applications Conference, ACSAC 2021 (pp. 1025–1038). ACM. https://doi.org/10.1145/3485832.3485925

    14. Hong-Linh Truong, ASRE – Towards Application-specific Resource Ensembles across Edges and Clouds(PDF), In P. Chemouil, M. Ulema, S. Clayman, M. Sayit, C. Cetinkaya, & S. Secci (Eds.), Proceedings of the 2021 17th International Conference on Network and Service Management: Smart Management for Future Networks and Services, CNSM 2021 (pp. 239-243). IEEE. https://doi.org/10.23919/CNSM52442.2021.9615526

    15. My-Linh Nguyen, Thao Phung, Duong-Hai Ly Hong-Linh Truong, Holistic Explainability Requirements for End-to-End Machine Learning in IoT Cloud Systems, (Accepted PDF), 2021 IEEE International Requirements Engineering Conference (REW), September 20-24, 2021.

    16. Hong-Linh Truong, Minh-Tri Nguyen, QoA4ML – A Framework for Supporting Contracts in Machine Learning Services, (Accepted PDF), 2021 IEEE International Conference on Web Services (ICWS), September 5-10, 2021.

    17. Rohit Raj, Hong-Linh Truong, On Analysis of Security and Elasticity Dependency in IIoT Platform Services, (Accepted PDF), 2021 IEEE International Conference on Services Computing (SCC), September 5-10, 2021.

    18. Minh-Tri Nguyen, Hong-Linh Truong "Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML", Companion of the 2021 ACM/SPEC International Conference on Performance Engineering (ICPE'21), Apr. 19-23, 2021

    19. Hong-Linh Truong, Filip Rydzi "Benchmarking Blockchain Interactions in Mobile Edge Cloud Software Systems", 2020 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'20), Nov 15-16, 2020

    20. Jorge Peña Queralta, Li Qingqing, Tuan Nguyen Gia, Hong-Linh Truong, Tomi Westerlund, End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms(PDF), 2nd International Workshop on Wireless Sensors and Drones in Internet of Things (Wi-DroIT), The International Conference on Distributed Computing in Sensor Systems (DCOSS 2020), USA, 2020

    21. Filip Rydzi, Hong-Linh Truong,Sharing Blockchain Performance Knowledge for Edge Service Development, (PDF), The 5th IEEE International Conference on Collaboration and Internet Computing - Los Angeles, United States, 12 Dec 2019-14 Dec 2019

    22. Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian Foster, Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff (PDF), IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications, IEEE BigData 2019, Los Angeles, CA, USA.
    23. Ta Duong, Ketan Kumar Todi, Umang Chaudhary, Hong-Linh Truong, Decentralizing Air Traffic Flow Management with Blockchain-based Reinforcement Learning, (PDF), The 2019 IEEE International Conference on Industrial Informatics (INDIN’19), 22-25 July 2019, Helsinki-Espoo, Finland

    24. Ivan Lujic, Hong-Linh Truong, Architecturing Elastic Edge Storage Services for Data-Driven Decision Making, (PDF, Long preprint version),13th European Conference on Software Architecture (ECSA),9-13 September 2019, Paris France

    25. Lin Ye, Biqi Zhu, Chenglong Hu, Liang Zhang, Hong-Linh Truong, On-the-fly Collaboration for Legacy Business Process Systems in An Open Service Environment, (PDF),The 2019 IEEE International Conference on Web Services, July 8-13, 2019, Milan, Italy

    26. Hong-Linh Truong, Integrated Analytics for IIoT Predictive Maintenance using IoT Big Data Cloud Systems, (PDF, Slides), The IEEE International Conference on Industrial Internet (ICII 2018), Bellevue, WA, USA, Oct 21-23, 2018.

    27. Phu H. Nguyen, Phu H. Phung, Hong-Linh Truong, A Security Policy Enforcement Framework for Controlling IoT Tenant Applications in the Edge, (Author version, Preprint), The 8th International Conference on the Internet of Things (IoT 2018), October 15–18, 2018, Santa Barbara, California, USA. To appear
    28. Trung-Viet Nguyen, Lam Son Lê, Hong-Linh Truong, Khuong Nguyen-An and Phuong Hoai Ha, Handling Service Level Agreements in Internet of Things = Minding Rules + Log Analytics?", (Author version, Pre-print), The 22d IEEE International Enterprise Computing Conference (EDOC 2018), Stockholm, Sweden, October 16-19, 2018. To appear
    29. Hong-Linh Truong, Lingfan Gao, Michael Hammerer, Service Architectures and Dynamic Solutions for Interoperability of IoT, Network Functions and Cloud Resources (Preprint), 12th European Conference on Software Architecture, September 24-28, 2018, Madrid, Spain. To appear
    30. Hong-Linh Truong, Manfred Halper, Characterizing Incidents in Cloud-based IoT Data Analytics, (Author version, Preprint), The 42nd IEEE International Conference on Computers, Software & Applications Tokyo, Japan, July 23-27, To appear
    31. Hong-Linh Truong, Matthias Karan, Analytics of Performance and Data Quality for Mobile Edge Cloud Applications, (Author version, Preprint), The 2018 IEEE International Conference on Cloud Computing, Workshop: Cloud and the Edge San Francisco, USA, July 2-7, To appear
    32. Hong-Linh Truong, Enabling Edge Analytics of IoT Data: the Case of LoRaWAN, (Preprint, Author published PDF version), The 2018 Global IoT Summit (GIoTS) 4-7 June 2018 in Bilbao, Spain, To appear
    33. Hong-Linh Truong, Towards a Resource Slice Interoperability Hub for IoT, (Preprint PDF), 3rd edition of Globe-IoT 2018: Towards Global Interoperability among IoT Systems, IEEE, 2018. Orlando, Florida, USA, April 17-20, 2018. To appear
    34. Hong-Linh Truong, Luca Berardinelli, Ivan Pavkovic and Georgiana Copil, Modeling and Provisioning IoT Cloud Systems for Testing Uncertainties, (Pre-print PDF), 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2017), November 7–10, 2017,Melbourne, Australia. To appear.
    35. Hong-Linh Truong, Luca Berardinelli, Testing Uncertainty of Cyber-physical Systems in IoT Cloud Infrastructures – Combining Model-Driven Engineering and Elastic Execution, Workshop on Testing Embedded and Cyber-Physical Systems, ISSTA 2017, To appear.
    36. Phu Phung, Hong-Linh Truong, Divya Teja Yasoju, P4SINC - An Execution Policy Framework for IoT Services in the Edge , the 2nd IEEE International Congress on Internet of Things (IEEE ICIOT 2017), June 25 - June 30, 2017, Honolulu, Hawaii, USA
    37. Florin-Bogdan Balint, Hong-Linh Truong, On Support ing Contract-aware IoT Dataspace Services, the 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud 2017), 6-8 April 2017 in San Francisco, USA To appear
    38. Hong-Linh Truong, Schahram Dustdar, Frank Leymann, Towards the Realization of Multi-dimensional Elasticity for Distributed Cloud Systems (Submitted version), Cloud Forward Conference 2016, Elsevier Science Procedia Computer Science, 18-20 October 2016, Madrid, Spain.To appear.
    39. Hong-Linh Truong, Georgiana Copil, Schahram Dustdar, Duc-Hung Le, Daniel Moldovan, Stefan Nastic, On Engineering Analytics for Elastic IoT Cloud Platforms, The 14th International Conference on Service-Oriented Computing (ICSOC 2016), October 10-13, 2016, Banff, Alberta, Canada Accepted
    40. Daniel Moldovan,Hong-Linh Truong,A Platform for Run-time Health Verification of Elastic Cyber-physical Systems (Submitted PDF), The IEEE International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2016), September 19-21, Imperial College, London, UK, Accepted
    41. Duc-Hung Le, Nanjangud Narendra, Hong-Linh Truong HINC - Harmonizing Diverse Resource Information Across IoT, Network Functions and Clouds (Submitted PDF), The IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud2016), 22-24 Aug, 2016, Vienna, Austria.To appear
    42. Muhammad Candra, Hong-Linh Truong, Schahram Dustdar, On Monitoring Cyber-Physical-Social Systems (PDF), the IEEE Services 2016, Emerging Technologies track on Services for Smart Cities, June 27 - July 2, 2016, San Francisco, USA
    43. Duc-Hung Le, Hong-Linh Truong, Schahram Dustdar, Managing On-demand Sensing Resources in IoT Cloud Systems (PDF), 5th IEEE International Conference on Mobile Services (MS2016), June 27 - July 2, 2016, San Francisco, USA
    44. Carlos Müller, Hong-Linh Truong, Pablo Fernandez , Georgiana Copil, Antonio Ruiz–Cortés, Schahram Dustdar, An Elasticity-aware Governance Platform for Cloud Service Delivery (PDF), 13th IEEE International Conference on Services Computing (SCC2016), June 27 - July 2, 2016, San Francisco, USA
    45. Hong-Linh Truong, Nanjangud Narendra, SINC -- An Information-Centric Approach for End-to-End IoT Cloud Resource Provisioning (Draft), International Conference on Cloud Computing Research & Innovation, CloudAsia 2016, May 3-5, 2016. Accepted
    46. Daniel Moldovan, Hong-Linh Truong, Schahram Dustdar, "Cost-aware scalability of applications in public clouds" (PDF), International Conference on Cloud Engineering (IC2E 2016), 4-8 April, 2016, Berlin, Germany.

    47. Tien-Dung Cao, Hong-Linh Truong, "Analyzing and Conceptualizing Monitoring and Analytics as a Service for Grain Warehouses" (PDF), 8th Asian Conference on Intelligent Information and Database Systems, 14-16 March 2016, Da Nang, Vietnam. To appear

    Theses

    1. Rishabh Kapoor: Cross-systems multi-level data pipelines optimization for predicting sunspot emergence, 2024
    2. Grey Skipwith: Reliable scalable storage: solution for cloud native applications (with Ericsson), 2024
    3. Eero Kauhanen: Continuous data quality validation in railway operation domain (with VR), 2023
    4. Gustav Larsson: task scheduling for cloud processing (with F-Secure)
    5. Breno Aberle: Microservices-based machine learning production deployment (with Bosch Connected Industries)
    6. Cristian Abrante Dorta, Domain-Oriented Microservices Gateway Monitoring Using Big Data Techniques, Master thesis, Mar, 2022
    7. Rohit Raj, "Establishing trust for secure elasticity in edge-cloud microservices", Master thesis, Sep 2021
    8. Luca Scotton, "Engineering framework for scalable machine learning operations", Master thesis, 2021
    9. Minh-Duc Ta, Analytics of tools and methodologies for blockchain-based software systems development, Master thesis, 2020
    10. Antti Ahola, "Data migration from legacy systems to data quality aware cloud-computing systems", Master thesis, 2020
    11. Nikita Korhonen, Managing and Optimising IoT data and ML applications dependencies, Master thesis, 2020
    12. Minjung Ryu, Machine Learning-based Classification System for Building Information Models, Master Thesis, 2020
    13. Ville Vainio, "Engineering analytics of big data pipelines for stock market data", Master Thesis, 2020
    14. Oscar Henriksson, Development of Apros simulation application for cloud environment, Master Thesis, 2019
    15. Kreics Krists, Quality of analytics management of data pipelines for retail forecasting, Master thesis, Aug 2019
    16. Filip Rydzi: Edge Blockchain Provisioning for Mobile Edge Computing Applications, Master thesis, TU Wien, May 2019
    17. Michael Hammerer:On Providing On-demand Interoperability Solutions for IoT, Master thesis, Jan 2019.
    18. Lingfan Gao: On Provisioning and Configuring Ensembles of IoT, Network Functions and Cloud Resources, Master thesis, Oct 2018
    19. Matthias Karan: Using Mobile Edge Computing Technologies for Real-time Cornering Assistance (Master thesis, Software Prototype), Feb 2018

    20. Peter Klein: Contract Definition and Governance for IoT (Master thesis, Software Prototype), Feb 2018

    21. Manfred Halper: Classification and Monitoring of Incidents in Cloud-based Big Data Analytics (Master thesis, Software Prototype), Feb 2018

    22. Florin Balint: Negotiating, Monitoring and Recommending Data Contracts in IoT Dataspaces, Master thesis, TU Wien, 2017

    Others

    1. Luca Berardinelli, Zhiyong Feng, Yanbo Han, Sheng Huang, Bing Li, Hongbing Wang, Shangguang Wang, Liang Zhang "CPS/IoT Service Manifesto (Fudan Manifesto)", August 2017

    Invited Talks, Presentations, and Tutorials

    1. DevOps for Dynamic Interoperability of IoT, Edge and Cloud Systems, 2nd Vienna Software Seminar (VSS) on DevOps and Microservice APIs, 28-30 August, 2019.
    2. Service Engineering Analytics in Hybrid Computing Systems of IoT, big data and clouds (Slides), Aalto University, April 2019.

    3. Tutorial on Dynamic IoT Data, Protocol, and Middleware Interoperability with Resource Slice Concepts and Tools
    4. Hong-Linh Truong, "Ensembles of IoT, Network Functions and Clouds: Requirements, Models and Engineering Analytics", Aalto University, 11 April, 2018

    5. Hong-Linh Truong, Deep Context-Awareness: Context Coupling and New Types of Context Information in the IoT Cloud World, Panel Discussion, MobiQuitous 2017, 8 Nov 2017, Melbourne, Australia

    6. Hong-Linh Truong, Quantifying and Detecting Incidents in IoT Big Data Analytics (PDF), Dagstuhl Seminar 17441 – Big Stream Processing Systems, 31 Oct 2017.

    7. Luca Berardinelli, Hong-Linh Truong, "Uncertainty-wise Engineering of IoT Cloud Systems: From System Models to Non-Functional Analyses, Deployment, and Testing", Model-Driven Engineering for the Internet of Things (2017), 22 Oct, 2017, Linz, Austria

    8. Luca Berardinelli and Hong-Linh Truong, "Combining Model-driven Engineering and Elastic Execution for Testing Uncertainty in CPS", 5th User Conference on Advanced Automated Testing (UCAAT), 11-13 October 2017, Berlin, Germany

    9. Hong-Linh Truong, "Managing and Testing Ensembles of IoT, Network functions, and Clouds", Center for Cyber-Physical Systems and Internet of Things, University of Southern California, 21 Sep, 2017

    10. Luca Berardinelli, "Modeling, Provisioning, and Testing of IoT/Cloud-based Cyber Physical System under Uncertainty", Workhop on CPS/IoT Services, 19-20 August 2017, Fudan University, China
    11. Luca Berardinelli, "Modeling, Provisioning, and Testing of IoT/Cloud-based Cyber Physical System under Uncertainty", Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, 13 July, 2017
    12. Hong-Linh Truong, "Modeling and Testing Uncertainties in Application-oriented Slices of IoT, Network functions, and Clouds", Ericsson R & D, 13 June, 2017, Bangalore, India

    13. Hong-Linh Truong, "Provisioning Application-oriented Slices of IoT, Network functions, and Clouds: Necessity, Feasibility, and Possible Tools?", IBM Research Almaden, San Jose, 6 April, 2017, USA
    14. Hong-Linh Truong, "Slicing IoT, Network functions, and Clouds: Experiences and Next Research Challenges", National Institute of Informatics (NII), Japan, 17 Mar, 2017

    Related courses

    1. Current courses: Big Data Platforms and Advanced Topics in Software Systems

    2. Previous courses: Advanced Services Engineering course for PhD/Master students at TU Wien and the Distributed Systems Technologies course for master studies at TU Wien.